Kumar Vivek
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Hematology top 5%
- Multiple Myeloma Research and Treatments
Papers in
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- Renal Transplantation Outcomes and Treatments 5
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- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 2
- Co-authors
- Swati Goel (1 shared paper)Sangeeta Nischal (1 shared paper)Bhaskar C. Das (1 shared paper)Amit K. Verma (1 shared paper)Christoph Johann Heuck (1 shared paper)Ali Hadi Naji (12 shared papers)Chengyang Liu (3 shared papers)Jonathan Schug (2 shared papers)
- Journals
- Diabetes Care (2 papers)Cell Metabolism (2 papers)Journal of Cardiothoracic and Vascular Anesthesia (2 papers)The Journal of Immunology (1 paper)Clinical Transplantation (1 paper)
- Partner nations
- United StatesIndiaSpain
In The Last Decade
Kumar Vivek
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Transplantation 88
- Hematology 211
- Endocrinology, Diabetes and Metabolism 201
- Surgery 467
- Cancer Research 153
Countries citing papers authored by Kumar Vivek
This map shows the geographic impact of Kumar Vivek'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 Kumar Vivek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Vivek more than expected).
Fields of papers citing papers by Kumar Vivek
This network shows the impact of papers produced by Kumar Vivek. 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 Kumar Vivek. The network helps show where Kumar Vivek may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Vivek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 386 | |
| 2 | 2014 | 279 | |
| 3 | 2016 | 132 | |
| 4 | 2018 | 98 | |
| 5 | 2013 | 96 | |
| 6 | 2011 | 35 | |
| 7 | 2022 | 34 | |
| 8 | 2012 | 26 | |
| 9 | 2010 | 25 | |
| 10 | 2010 | 24 | |
| 11 | 2011 | 23 | |
| 12 | 2011 | 20 | |
| 13 | 2009 | 14 | |
| 14 | 2011 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2014 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2011 | 3 | |
| 20 | 2023 | 3 |
About Kumar Vivek
Kumar Vivek is a scholar working on Transplantation, Immunology, Surgery, Endocrinology, Diabetes and Metabolism and Genetics, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Pancreatic function and diabetes (5 papers), Renal Transplantation Outcomes and Treatments (5 papers), Diabetes and associated disorders (2 papers), Adipose Tissue and Metabolism (2 papers), Immunotherapy and Immune Responses (2 papers) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Transplantation (88 citations), Hematology (211 citations), Endocrinology, Diabetes and Metabolism (201 citations), Surgery (467 citations) and Cancer Research (153 citations). Kumar Vivek has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Swati Goel, Sangeeta Nischal, Bhaskar C. Das, Amit K. Verma, Christoph Johann Heuck, Ali Hadi Naji, Chengyang Liu, Jonathan Schug, Klaus H. Kaestner and Joshua R. Friedman. Their work appears in journals such as Diabetes Care, Cell Metabolism, Journal of Cardiothoracic and Vascular Anesthesia, The Journal of Immunology and Clinical Transplantation.
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.