Senthil Sukumar

523 citations
23 papers · 323 · h-index 9

Impact in

  • Immunology top 10%
    • Complement system in diseases
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

Senthil Sukumar

17 papers receiving 314 citations

Peers

Senthil Sukumar
Comparison fields: 5 of 36
  • Immunology 238
  • Hematology 25
  • Cultural Studies 11
  • Internal Medicine 3
  • Endocrinology 4
Replace Begoña Rivas with:
Begoña Rivas Spain
B. Kaplan Canada
Remi N. J. Shih United States
Lulu R. Tsao United States
Lony C. L. Lim United States
Arnoldo Quezada Chile
Shinichiro Ohara Japan
Iain Moore United Kingdom
I. Kupfer‐Bessaguet France
Jessica Serafinelli Italy
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Citations per field
00.5×2×4×6×8.3×
Begoña Rivas · 1×
Citations per year

Countries citing papers authored by Senthil Sukumar

Since Specialization
Citations

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

Fields of papers citing papers by Senthil Sukumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021139
2 202137
3 202026
4 202126
5 201717
6 202214
7 202414
8 201911
9 20219
10 20229
11 20207
12 20235
13 20254
14 20202
15 20231
16 20251
17 20251
18 20250
19 20250
20 20250

About Senthil Sukumar

Senthil Sukumar is a scholar working on Immunology, Internal Medicine, Hematology, Endocrinology and Genetics, having authored 23 papers that have together received 323 indexed citations. Recurring topics across this work include Complement system in diseases (17 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Inflammatory mediators and NSAID effects (1 paper), Vascular Anomalies and Treatments (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Cardiac Valve Diseases and Treatments (1 paper), Acute Myeloid Leukemia Research (1 paper) and Health Promotion and Cardiovascular Prevention (1 paper). The work is most often cited by research in Immunology (238 citations), Hematology (25 citations), Cultural Studies (11 citations), Internal Medicine (3 citations) and Endocrinology (4 citations). Senthil Sukumar has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Spero R. Cataland, Bernhard Lämmle, Shruti Chaturvedi, James N. George, Robert Alan Brodsky, Lisa R. Yanek, Alison R. Moliterno, Marshall A. Mazepa, Craig S. Glazer and NICHOLAS S. HENDREN. Their work appears in journals such as Blood, Research and Practice in Thrombosis and Haemostasis, American Journal of Hematology, Journal of Clinical Medicine and Blood Advances.

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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