Padmini Sekar

4.2k total citations
60 papers, 2.8k citations indexed

About

Padmini Sekar is a scholar working on Neurology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Padmini Sekar has authored 60 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Neurology, 33 papers in Epidemiology and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Padmini Sekar's work include Intracerebral and Subarachnoid Hemorrhage Research (38 papers), Acute Ischemic Stroke Management (28 papers) and Neurosurgical Procedures and Complications (26 papers). Padmini Sekar is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (38 papers), Acute Ischemic Stroke Management (28 papers) and Neurosurgical Procedures and Complications (26 papers). Padmini Sekar collaborates with scholars based in United States, United Kingdom and Italy. Padmini Sekar's co-authors include Daniel Woo, Matthew L. Flaherty, Joseph P. Broderick, Brett Kissela, Mary Haverbusch, Dawn Kleindorfer, Charles J. Moomaw, Laura Sauerbeck, Kathleen Alwell and Alexander Schneider and has published in prestigious journals such as New England Journal of Medicine, Circulation and Neurology.

In The Last Decade

Padmini Sekar

57 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Padmini Sekar United States 24 1.7k 1.2k 594 226 194 60 2.8k
Dexter L. Morris United States 22 445 0.3× 1.4k 1.2× 433 0.7× 270 1.2× 223 1.1× 31 2.8k
Shane English Canada 22 688 0.4× 555 0.5× 216 0.4× 253 1.1× 172 0.9× 93 2.2k
Bruce Ovbiagele United States 29 330 0.2× 1.3k 1.1× 764 1.3× 558 2.5× 219 1.1× 125 2.8k
Xin Tong United States 27 264 0.2× 1.2k 1.0× 817 1.4× 444 2.0× 124 0.6× 96 2.8k
Tracy E. Madsen United States 26 296 0.2× 967 0.8× 347 0.6× 372 1.6× 121 0.6× 92 2.2k
Esko Kaarsalo Finland 26 300 0.2× 660 0.5× 672 1.1× 208 0.9× 120 0.6× 48 2.1k
Haralampos Milionis Greece 31 310 0.2× 869 0.7× 1.1k 1.8× 892 3.9× 275 1.4× 176 3.2k
Jin‐Hyung Jung South Korea 31 239 0.1× 502 0.4× 1.1k 1.9× 266 1.2× 176 0.9× 174 2.9k
Mai N. Nguyen‐Huynh United States 22 634 0.4× 2.0k 1.6× 1.1k 1.8× 1.2k 5.4× 169 0.9× 55 3.3k
Anne S. Lindblad United States 23 288 0.2× 1.2k 1.0× 614 1.0× 671 3.0× 106 0.5× 57 3.0k

Countries citing papers authored by Padmini Sekar

Since Specialization
Citations

This map shows the geographic impact of Padmini Sekar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Padmini Sekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padmini Sekar more than expected).

Fields of papers citing papers by Padmini Sekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Padmini Sekar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Padmini Sekar. The network helps show where Padmini Sekar may publish in the future.

Co-authorship network of co-authors of Padmini Sekar

This figure shows the co-authorship network connecting the top 25 collaborators of Padmini Sekar. A scholar is included among the top collaborators of Padmini Sekar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Padmini Sekar. Padmini Sekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ji, Robin, Amelia K. Boehme, Elisa E. Konofagou, et al.. (2025). Low Hemoglobin Causes Hematoma Expansion and Poor Intracerebral Hemorrhage Outcomes. Stroke. 56(5). 1234–1242. 1 indexed citations
3.
Georgakis, Marios K., Stacie L Demel, Padmini Sekar, et al.. (2023). A Genomic Risk Score Identifies Individuals at High Risk for Intracerebral Hemorrhage. Stroke. 54(4). 973–982. 6 indexed citations
4.
Sekar, Padmini, Eddy Seong Guan Cheah, Mahenderan Appukutty, et al.. (2023). Gene–Diet Interactions on Metabolic Disease-Related Outcomes in Southeast Asian Populations: A Systematic Review. Nutrients. 15(13). 2948–2948. 14 indexed citations
5.
Sawyer, Russell P., Eunji Yim, Elisheva Coleman, et al.. (2021). Impact of Preexisting Cognitive Impairment and Race/Ethnicity on Functional Outcomes Following Intracerebral Hemorrhage. Stroke. 52(2). 603–610. 5 indexed citations
6.
Sekar, Padmini, et al.. (2021). Effect of Primary Prophylactic Antiseizure Medication for Seizure Prevention Following Intracerebral Hemorrhage in the ERICH Study. Journal of Stroke and Cerebrovascular Diseases. 31(1). 106143–106143. 10 indexed citations
7.
Stanton, Robert J., Stacie L Demel, Matthew L. Flaherty, et al.. (2021). Risk of intracerebral haemorrhage from hypertension is greatest at an early age. European Stroke Journal. 6(1). 28–35. 6 indexed citations
8.
Mistry, Eva, Padmini Sekar, Russell P. Sawyer, et al.. (2020). White Matter Lesion Severity is Associated with Intraventricular Hemorrhage in Spontaneous Intracerebral Hemorrhage. Journal of Stroke and Cerebrovascular Diseases. 29(5). 104661–104661. 4 indexed citations
9.
Jothimani, Dinesh, Hemalatha Ramachandran, Padmini Sekar, et al.. (2020). COVID-19: Poor outcomes in patients with zinc deficiency. International Journal of Infectious Diseases. 100. 343–349. 211 indexed citations
10.
Hirzallah, Mohammad, Yoshua Esquenazi, Charles J. Moomaw, et al.. (2019). Hemicraniectomy for Supratentorial Primary Intracerebral Hemorrhage: A Retrospective, Propensity Score Matched Study. Journal of Stroke and Cerebrovascular Diseases. 28(11). 104361–104361. 13 indexed citations
11.
Ding, Dale, Padmini Sekar, Charles J. Moomaw, et al.. (2018). Venous Thromboembolism in Patients With Spontaneous Intracerebral Hemorrhage: A Multicenter Study. Neurosurgery. 84(6). E304–E310. 34 indexed citations
12.
Sawyer, Russell P., Padmini Sekar, Jennifer Osborne, et al.. (2018). Racial/ethnic variation of APOE alleles for lobar intracerebral hemorrhage. Neurology. 91(5). 18 indexed citations
13.
Walsh, Kyle, Daniel Woo, Padmini Sekar, et al.. (2016). Untreated Hypertension. Circulation. 134(19). 1444–1452. 50 indexed citations
14.
Shah, Manan, Jennifer Rasmussen, Lee Birnbaum, et al.. (2014). Effect of Hyperosmolar Therapy on Outcome Following Spontaneous Intracerebral Hemorrhage: The ERICH Study (S25.007). Neurology. 82(10_supplement). 2 indexed citations
15.
Adeoye, Opeolu, Mary Haverbusch, Daniel Woo, et al.. (2010). Is ED disposition associated with intracerebral hemorrhage mortality?. The American Journal of Emergency Medicine. 29(4). 391–395. 12 indexed citations
16.
Reponen, Tiina, et al.. (2009). Large Particle Penetration through N95 Respirator Filters and Facepiece Leaks with Cyclic Flow. The Annals of Occupational Hygiene. 54(1). 68–77. 38 indexed citations
17.
Adeoye, Opeolu, Daniel Woo, Mary Haverbusch, et al.. (2008). Eligibility for the Surgical Trial in Intracerebral Hemorrhage II Study in a Population-based Cohort. Neurocritical Care. 9(2). 237–241. 4 indexed citations
18.
Adeoye, Opeolu, Daniel Woo, Mary Haverbusch, et al.. (2008). SURGICAL MANAGEMENT AND CASE-FATALITY RATES OF INTRACEREBRAL HEMORRHAGE IN 1988 AND 2005. Neurosurgery. 63(6). 1113–1118. 15 indexed citations
19.
Kaushal, Ritesh, Daniel Woo, Prodipto Pal, et al.. (2007). Subarachnoid hemorrhage: tests of association with apolipoprotein E and elastin genes. BMC Medical Genetics. 8(1). 49–49. 21 indexed citations
20.
Flaherty, Matthew L., Mary Haverbusch, Padmini Sekar, et al.. (2006). Location and Outcome of Anticoagulant-Associated Intracerebral Hemorrhage. Neurocritical Care. 5(3). 197–201. 67 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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