Subhashish Agarwal

513 citations
14 papers · 409 · h-index 10

Impact in

Papers in

Subhashish Agarwal

13 papers receiving 400 citations

Peers

Subhashish Agarwal
Comparison fields: 5 of 57
  • Nephrology 56
  • Cardiology and Cardiovascular Medicine 82
  • Endocrinology, Diabetes and Metabolism 55
  • Radiology, Nuclear Medicine and Imaging 72
  • Orthopedics and Sports Medicine 19
Replace Monique Leban with:
Monique Leban France
Santhosh Jay Mathews United States
Ömer Gedikli Türkiye
Ari Lieber France
Gernot Asmus Germany
Árpád Lux Hungary
Nketi I Forbang United States
H. Asuman Kaftan Türkiye
Masuko Uehara Japan
J Koller-Strametz Austria
Subhashish Agarwal relative to Monique Leban France Monique Leban's profile →
Citations per field
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Citations per year

Countries citing papers authored by Subhashish Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Subhashish Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201288
2 201064
3 201157
4 201441
5 201239
6 201138
7 201226
8 201123
9 201115
10 201414
11 20162
12 20211
13
Multiple Endocrine Neoplasia Type 1 and Lipomas
20021
14 20150

About Subhashish Agarwal

Subhashish Agarwal is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Surgery and Nephrology, having authored 14 papers that have together received 409 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Cardiac Imaging and Diagnostics (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Blood Pressure and Hypertension Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Genetic Associations and Epidemiology (2 papers), Cardiovascular Health and Disease Prevention (1 paper) and Neuroendocrine Tumor Research Advances (1 paper). The work is most often cited by research in Nephrology (56 citations), Cardiology and Cardiovascular Medicine (82 citations), Endocrinology, Diabetes and Metabolism (55 citations), Radiology, Nuclear Medicine and Imaging (72 citations) and Orthopedics and Sports Medicine (19 citations). Subhashish Agarwal has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include David M. Herrington, J. Jeffrey Carr, Donald W. Bowden, Amanda J. Cox, Barry I. Freedman, Jianzhao Xu, Neal W. Jorgensen, Fang‐Chi Hsu, Michael G. Shlipak and Timothy M. Morgan. Their work appears in journals such as Diabetes Care, Cardiology Research and Practice, Nutrition Metabolism and Cardiovascular Diseases, Clinical Journal of the American Society of Nephrology and Diabetic Medicine.

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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