Rohan Kumar

467 citations
34 papers · 297 · h-index 11

Impact in

Papers in

Rohan Kumar

29 papers receiving 294 citations

Peers

Rohan Kumar
Comparison fields: 5 of 71
  • Transplantation 27
  • Developmental Neuroscience 30
  • Hepatology 40
  • Surgery 139
  • Endocrinology, Diabetes and Metabolism 44
Replace Yuhei Yokoyama with:
Yuhei Yokoyama Japan
Xiaozhou He China
Byoung Hee Han South Korea
Janneke Wiersema Netherlands
Sara Chalifoux United States
D. Guerreiro United Kingdom
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Carina Wasslavik Sweden
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Rohan Kumar relative to Yuhei Yokoyama Japan Yuhei Yokoyama's profile →
Citations per field
00.5×4.9×
Yuhei Yokoyama · 1×
Citations per year

Countries citing papers authored by Rohan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Rohan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201042
2 200433
3 202320
4 201819
5 201319
6 201518
7 201717
8 201616
9 201915
10 201815
11 201615
12 202110
13 20138
14 20087
15 20236
16 20145
17 20135
18 20135
19 20165
20
Cantrell's pentalogy.
20035

About Rohan Kumar

Rohan Kumar is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 34 papers that have together received 297 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (5 papers), Pancreatic function and diabetes (4 papers), Esophageal and GI Pathology (3 papers), Organ Donation and Transplantation (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Liver Disease and Transplantation (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Transplantation (27 citations), Developmental Neuroscience (30 citations), Hepatology (40 citations), Surgery (139 citations) and Endocrinology, Diabetes and Metabolism (44 citations). Rohan Kumar has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Giuseppe Garcea, Kevin West, Wen Yuan Chung, Rahul Ladwa, Ashley R. Dennison, Faizan Shaukat, Caroline B. Wigley, Shaista Hayat, Paul A. Felts and Stephen Bunting. Their work appears in journals such as International Journal of Surgery, Artificial Organs, Transplantation Reviews, Annals of Translational Medicine and BMJ Open.

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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