Padmini Sirish

896 citations
27 papers · 621 · h-index 17

Impact in

Papers in

Padmini Sirish

25 papers receiving 615 citations

Peers

Padmini Sirish
Comparison fields: 5 of 76
  • Biochemistry 97
  • Cardiology and Cardiovascular Medicine 230
  • Molecular Biology 399
  • Cellular and Molecular Neuroscience 70
  • Sensory Systems 17
Replace Xiaoyong Tong with:
Xiaoyong Tong China
Megumu Okada Japan
Anatoly Soloviev Ukraine
Mariela Méndez United States
Xiaorong Zeng China
Yee H. Looi United Kingdom
Ning Feng United States
Evgenia Alpert Israel
Weike Mao United States
Rebecca Parodi‐Rullán Puerto Rico
Padmini Sirish relative to Xiaoyong Tong China Xiaoyong Tong's profile →
Citations per field
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Xiaoyong Tong · 1×
Citations per year

Countries citing papers authored by Padmini Sirish

Since Specialization
Citations

This map shows the geographic impact of Padmini Sirish'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 Sirish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padmini Sirish more than expected).

Fields of papers citing papers by Padmini Sirish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Padmini Sirish. 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 Sirish. The network helps show where Padmini Sirish may publish in the future.

Co-authors

The 25 scholars most cited alongside Padmini Sirish, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Padmini Sirish Line = papers co-authored together Padmini Sirish links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201377
2 201371
3 201148
4 201445
5 201937
6 201135
7 201833
8 202032
9 202027
10 202126
11 201223
12 202222
13 202219
14 201718
15 202017
16 201816
17 201516
18 202015
19 202013
20 20238

About Padmini Sirish

Padmini Sirish is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biochemistry, Surgery and Pathology and Forensic Medicine, having authored 27 papers that have together received 621 indexed citations. Recurring topics across this work include Ion channel regulation and function (9 papers), Cardiac electrophysiology and arrhythmias (8 papers), Eicosanoids and Hypertension Pharmacology (5 papers), Neuroscience and Neural Engineering (3 papers), Cardiovascular Function and Risk Factors (3 papers), MicroRNA in disease regulation (2 papers), Alcohol Consumption and Health Effects (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Biochemistry (97 citations), Cardiology and Cardiovascular Medicine (230 citations), Molecular Biology (399 citations), Cellular and Molecular Neuroscience (70 citations) and Sensory Systems (17 citations). Padmini Sirish has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Nipavan Chiamvimonvat, Valeriy Timofeyev, Bruce D. Hammock, Ebenezer N. Yamoah, Ning Li, Jun‐Yan Liu, Javier E. López, Phung N. Thai, Kin Sing Stephen Lee and Lu Ren. Their work appears in journals such as Nature Communications, Circulation Arrhythmia and Electrophysiology, Heart Rhythm, Proceedings of the National Academy of Sciences and Frontiers in Physiology.

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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