Tanjina Jalil
Tanjina Jalil has a total of 17 co-authors. Here are the top co-authors by number of shared publications:
- Enrico Maria Camporesi
Department of Anesthesiology and Perioperative Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33606, USA
2 shared publications - John Hodgson
Department of Anesthesiology and Perioperative Medicine, University of South Florida Morsani College of Medicine, Tampa, FL 33602, USA
2 shared publications - Alex Cao
Department of Anesthesiology and Perioperative Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33606, USA
1 shared publication - Cameron Dang
TEAMHealth Anesthesia, Tampa General Hospital, Tampa, FL 33606, USA
1 shared publication - Carlos Miranda
Department of Anesthesiology and Perioperative Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33606, USA
1 shared publication - Chamanthi Konidala
University of South Florida Morsani College of Medicine, Tampa, FL 33602, USA
1 shared publication
Latest Publications
- Open Access
Bibliometric Characteristics of the 1000 Most-Cited English-Language Publications per Decade in Anesthesiology, Surgery, and Medicine, 1980–2019: A Comparative Analysis
Background: Bibliometric comparisons can describe highly cited literature but do not represent the full output of a discipline. The NIH-supported Relative Citation Ratio (RCR) field- and time-normalizes citation rates, while the Altmetric Attention Score (AAS) summarizes online attention. This study compared article-level metrics and bibliometric features among the 1000 most-cited English-language publications per decade in the Web of Science (WoS) categories Anesthesia, Surgery, and Medicine during 1980–2019. Methods: The 1000 most-cited English-language records per decade in the WoS categories Anesthesia, Surgery, and Medicine were retrieved for four decades, 1980–2019, in September 2024. Mean RCRs were obtained from iCite. AAS values were obtained through Dimensions AI and treated as cross-sectional scores measured at the extraction date because historical attention-source coverage was not equivalent. Bibliometric features were summarized for this selected sample. Data linkage and analytic denominators: The 12 category-by-decade datasets each began with 1000 selected records, for 12,000 selections in total. The supplied analysis materials did not include a record-level flow table showing successful linkage to PMID/iCite, DOI/AAS, affiliations, or keyword fields for each field and decade. These counts were not imputed or reconstructed and are reported as a limitation. Results: Within this selected sample, MED had higher RCR values across the study period, whereas ANE and SUR did not show the same increase in RCR from their 1980s values. AAS values were summarized descriptively and were not interpreted as equivalent longitudinal growth because historical coverage and post-publication observation time differed. Funding rankings differed by measure: ANE had the highest NIH-funded proportion in 2010–2019, whereas MED had the highest non-NIH funding proportion. Semantic concentration measures varied by field and metric. Conclusions: Within this selected sample, ANE and SUR did not show the same increase in RCR observed for MED. Semantic measures showed field- and metric-specific changes. These descriptive findings do not establish that topic diversity, collaboration, or journal concentration caused differences in influence, and they should not be generalized to all anesthesiology, surgery, or medicine publications.
Open AccessBibliometric Characteristics of the 1000 Most-Cited English-Language Publications per Decade in Anesthesiology, Surgery, and Medicine, 1980–2019: A Comparative Analysis
Background: Bibliometric comparisons can describe highly cited literature but do not represent the full output of a discipline. The NIH-supported Relative Citation Ratio (RCR) field- and time-normalizes citation rates, while the Altmetric Attention Score (AAS) summarizes online attention. This study compared article-level metrics and bibliometric features among the 1000 most-cited English-language publications per decade in the Web of Science (WoS) categories Anesthesia, Surgery, and Medicine during 1980–2019. Methods: The 1000 most-cited English-language records per decade in the WoS categories Anesthesia, Surgery, and Medicine were retrieved for four decades, 1980–2019, in September 2024. Mean RCRs were obtained from iCite. AAS values were obtained through Dimensions AI and treated as cross-sectional scores measured at the extraction date because historical attention-source coverage was not equivalent. Bibliometric features were summarized for this selected sample. Data linkage and analytic denominators: The 12 category-by-decade datasets each began with 1000 selected records, for 12,000 selections in total. The supplied analysis materials did not include a record-level flow table showing successful linkage to PMID/iCite, DOI/AAS, affiliations, or keyword fields for each field and decade. These counts were not imputed or reconstructed and are reported as a limitation. Results: Within this selected sample, MED had higher RCR values across the study period, whereas ANE and SUR did not show the same increase in RCR from their 1980s values. AAS values were summarized descriptively and were not interpreted as equivalent longitudinal growth because historical coverage and post-publication observation time differed. Funding rankings differed by measure: ANE had the highest NIH-funded proportion in 2010–2019, whereas MED had the highest non-NIH funding proportion. Semantic concentration measures varied by field and metric. Conclusions: Within this selected sample, ANE and SUR did not show the same increase in RCR observed for MED. Semantic measures showed field- and metric-specific changes. These descriptive findings do not establish that topic diversity, collaboration, or journal concentration caused differences in influence, and they should not be generalized to all anesthesiology, surgery, or medicine publications.
- Open Access
Extracorporeal Membrane Oxygenation in Pregnancy and the Postpartum Period: Two Case Reports and Narrative Review
In recent times, extracorporeal membrane oxygenation is increasingly employed in pregnant and postpartum patients with severe cardiopulmonary failure. This article presents two illustrative cases from our tertiary care center, highlighting the complexities of obstetric extracorporeal membrane oxygenation management. These cases are described within a synthesis of recent systematic reviews, registry data, and large case series focusing on maternal and fetal outcomes, extracorporeal membrane oxygenation modality impacts, timing of intervention, complication profiles, and anesthetic considerations. The concordance and contrasts between these cases and the existing literature underscore the evolving indications, improving survival rates, and critical perioperative management issues. Emphasis on multidisciplinary care and planning remains essential to optimize outcomes in this unique patient population.
Open AccessExtracorporeal Membrane Oxygenation in Pregnancy and the Postpartum Period: Two Case Reports and Narrative Review
In recent times, extracorporeal membrane oxygenation is increasingly employed in pregnant and postpartum patients with severe cardiopulmonary failure. This article presents two illustrative cases from our tertiary care center, highlighting the complexities of obstetric extracorporeal membrane oxygenation management. These cases are described within a synthesis of recent systematic reviews, registry data, and large case series focusing on maternal and fetal outcomes, extracorporeal membrane oxygenation modality impacts, timing of intervention, complication profiles, and anesthetic considerations. The concordance and contrasts between these cases and the existing literature underscore the evolving indications, improving survival rates, and critical perioperative management issues. Emphasis on multidisciplinary care and planning remains essential to optimize outcomes in this unique patient population.