Vikram D. Krishnamurthy

466 citations
30 papers · 314 · h-index 12

Impact in

Papers in

Vikram D. Krishnamurthy

29 papers receiving 311 citations

Peers

Vikram D. Krishnamurthy
Comparison fields: 5 of 46
  • Nephrology 77
  • Endocrinology, Diabetes and Metabolism 81
  • Surgery 132
  • Family Practice 3
  • Gender Studies 12
Replace Cheong Soo Park with:
Cheong Soo Park South Korea
Giuseppina Melfa Italy
Isabelle Morelec France
Mohamed Aboueisha United States
R. Castro United States
P. Gombos Germany
M. Franco Brazil
Hussain Alsaffar Oman
F. Di Giambattista France
Dai-Yin Lu Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Vikram D. Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Vikram D. Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vikram D. Krishnamurthy. 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 Vikram D. Krishnamurthy. The network helps show where Vikram D. Krishnamurthy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201975
2 201023
3 201619
4 201818
5 201716
6 201714
7 202013
8 201913
9 201712
10 201512
11 201912
12 201711
13 201710
14 202110
15 20219
16 20197
17 20236
18 20225
19 20185
20 20185

About Vikram D. Krishnamurthy

Vikram D. Krishnamurthy is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Surgery, Oncology and Gender Studies, having authored 30 papers that have together received 314 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (8 papers), Thyroid and Parathyroid Surgery (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Diversity and Career in Medicine (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Hormonal Regulation and Hypertension (2 papers), Immunotherapy and Immune Responses (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Nephrology (77 citations), Endocrinology, Diabetes and Metabolism (81 citations), Surgery (132 citations), Family Practice (3 citations) and Gender Studies (12 citations). Vikram D. Krishnamurthy has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Allan Siperstein, Judy Jin, Joyce Shin, Eren Berber, Edwina C. Moore, Bora Kahramangil, Mustafa Dönmez, Eren Berber, Hüsnü Aydın and Emin Köse. Their work appears in journals such as Surgery, Journal of the American College of Surgeons, The American Journal of Surgery, Endocrine Practice and Journal of surgical education.

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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