Yogish C. Kudva

13.7k citations
177 papers · 7.3k indexed · 2 hit papers · h-index 47
    • Renal Transplantation Outcomes and Treatments 29
    • Diabetes Management and Research 78
    • Diabetes Treatment and Management 31
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 13
  • Surgery top 0.5%
    • Pancreatic function and diabetes 71
    • Organ Transplantation Techniques and Outcomes 15
  • Genetics top 1%
    • Diabetes and associated disorders 52
    • Pancreatic and Hepatic Oncology Research 10

Yogish C. Kudva

169 papers receiving 7.1k citations

Hit Papers

Type 3c (pancreatogenic) diabetes mellitus secondary to c...3372011202620162021100200300400

Peers

Yogish C. Kudva
Comparison fields: 5 of 147
  • Transplantation 1.2k
  • Endocrinology, Diabetes and Metabolism 3.4k
  • Surgery 3.8k
  • Genetics 1.5k
  • Gastroenterology 290
Replace Ananda Basu with:
Ananda Basu United States
Eelco J.P. de Koning Netherlands
Bong Soo South Korea
Peter G. Colman Australia
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Emanuele Bosi Italy
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Philip Home United Kingdom
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Yogish C. Kudva relative to Ananda Basu United States Ananda Basu's profile →
Citations per field
00.5×3.4×
Ananda Basu · 1×
Citations per year

Countries citing papers authored by Yogish C. Kudva

Since Specialization
Citations

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

Fields of papers citing papers by Yogish C. Kudva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yogish C. Kudva. 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 Yogish C. Kudva. The network helps show where Yogish C. Kudva may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20248
4 20249
5 20241
6 20238
7 20233
8 202328
9 202213
10 20225
11 20201
12 20194
13 20186
14 20173
15 201647
16 201321
17 2012214
18 201229
19 2008124
20 200716

About Yogish C. Kudva

Yogish C. Kudva is a scholar working on Transplantation, Endocrinology, Diabetes and Metabolism and Surgery, having authored 177 papers that have together received 7.3k indexed citations. Recurring topics across this work include Diabetes Management and Research (78 papers), Pancreatic function and diabetes (71 papers), Diabetes and associated disorders (52 papers), Diabetes Treatment and Management (31 papers), Renal Transplantation Outcomes and Treatments (29 papers), Organ Transplantation Techniques and Outcomes (15 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (13 papers) and Pancreatic and Hepatic Oncology Research (10 papers). The work is most often cited by research in Transplantation (1.2k citations), Endocrinology, Diabetes and Metabolism (3.4k citations) and Surgery (3.8k citations). Yogish C. Kudva has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Ananda Basu, Mark D. Stegall, Claudio Cobelli, Víctor M. Montori, William F. Young, Rickey E. Carter, Adil E. Bharucha, Norman L. Eberhardt, Patricia J. Erwin and Rita Basu.

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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