Sithu Win

714 citations
19 papers · 474 · h-index 9

Impact in

Papers in

Sithu Win

18 papers receiving 460 citations

Peers

Sithu Win
Comparison fields: 5 of 49
  • Cardiology and Cardiovascular Medicine 334
  • Endocrinology, Diabetes and Metabolism 73
  • Hepatology 16
  • Complementary and alternative medicine 16
  • Emergency Medicine 17
Replace Hirota Kida with:
Hirota Kida Japan
Daniel N. Silverman United States
Kunjan A. Bhatt United States
Domenico Filomena Italy
Krishnamurti Rao United States
Francesco Gambardella Italy
Th. Weber Germany
Yoshie Hamada‐Harimura Japan
Robert W. Rho United States
Shah Nawaz India
Sithu Win relative to Hirota Kida Japan Hirota Kida's profile →
Citations per field
00.5×5×10.7×
Hirota Kida · 1×
Citations per year

Countries citing papers authored by Sithu Win

Since Specialization
Citations

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

Fields of papers citing papers by Sithu Win

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sithu Win, 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 Sithu Win Line = papers co-authored together Sithu Win links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2017148
2 201580
3 202360
4 201436
5 202034
6 201431
7 201727
8 201416
9 201916
10 20137
11 20225
12 20103
13 20223
14 20132
15 20242
16 20231
17 20221
18 20221
19 20131

About Sithu Win

Sithu Win is a scholar working on Cardiology and Cardiovascular Medicine, Emergency Medicine, Toxicology, Infectious Diseases and Epidemiology, having authored 19 papers that have together received 474 indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (5 papers), Cardiovascular Function and Risk Factors (3 papers), COVID-19 Clinical Research Studies (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Cardiovascular Effects of Exercise (2 papers), Poisoning and overdose treatments (1 paper), Chronic Disease Management Strategies (1 paper) and Thermoregulation and physiological responses (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (334 citations), Endocrinology, Diabetes and Metabolism (73 citations), Hepatology (16 citations), Complementary and alternative medicine (16 citations) and Emergency Medicine (17 citations). Sithu Win has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Inder S. Anand, Peter E. Carson, Robert Samuel McKelvie, John J.V. McMurray, Michael R. Zile, Michel Komajda, Thomas S. Rector, Lars Køber, Søren Lund Kristensen and Ulrik Madvig Mogensen. Their work appears in journals such as Journal of the American College of Cardiology, Circulation Heart Failure, Journal of Viral Hepatitis, Heart & Lung and The American Journal of Cardiology.

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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