Vasil Peev
Impact in
- Nephrology top 1%
- Renal Diseases and Glomerulopathies
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Nephrology 12
- Renal Diseases and Glomerulopathies 9
- Dialysis and Renal Disease Management 1
- Chronic Kidney Disease and Diabetes 1
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- COVID-19 Clinical Research Studies 8
- Co-authors
- Jochen Reiser (7 shared papers)Ali Nayer (2 shared papers)Gabriel N. Contreras (1 shared paper)Eunsil Hahm (4 shared papers)Mehmet M. Altintas (3 shared papers)Nada Alachkar (1 shared paper)Ranadheer Reddy Dande (2 shared papers)Nicholas J. Tardi (2 shared papers)
- Journals
- Journal of Clinical Investigation (4 papers)Nature Medicine (2 papers)American Journal of Kidney Diseases (2 papers)JAMA Internal Medicine (2 papers)Cell and Tissue Research (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Vasil Peev
25 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 90
- Nephrology 614
- Infectious Diseases 1.1k
- Transplantation 53
- Internal Medicine 41
- Modeling and Simulation 30
Countries citing papers authored by Vasil Peev
This map shows the geographic impact of Vasil Peev'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 Vasil Peev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasil Peev more than expected).
Fields of papers citing papers by Vasil Peev
This network shows the impact of papers produced by Vasil Peev. 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 Vasil Peev. The network helps show where Vasil Peev may publish in the future.
Co-authors
The 25 scholars most cited alongside Vasil Peev, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 732 | |
| 2 | 2020 | 391 | |
| 3 | 2017 | 184 | |
| 4 | 2020 | 179 | |
| 5 | 2021 | 166 | |
| 6 | 2016 | 130 | |
| 7 | 2011 | 126 | |
| 8 | 2021 | 89 | |
| 9 | 2013 | 57 | |
| 10 | 2019 | 57 | |
| 11 | 2014 | 36 | |
| 12 | 2017 | 32 | |
| 13 | 2021 | 32 | |
| 14 | 2021 | 29 | |
| 15 | 2019 | 25 | |
| 16 | 2017 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2010 | 15 | |
| 19 | 2021 | 12 | |
| 20 | 2021 | 11 |
About Vasil Peev
Vasil Peev is a scholar working on Nephrology, Infectious Diseases, Transplantation, Epidemiology and Internal Medicine, having authored 26 papers that have together received 2.4k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (9 papers), COVID-19 Clinical Research Studies (8 papers), Renal Transplantation Outcomes and Treatments (3 papers), Sepsis Diagnosis and Treatment (2 papers), Disaster Response and Management (1 paper), Mechanical Circulatory Support Devices (1 paper), Dialysis and Renal Disease Management (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Nephrology (614 citations), Infectious Diseases (1.1k citations), Transplantation (53 citations), Internal Medicine (41 citations) and Modeling and Simulation (30 citations). Vasil Peev has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Jochen Reiser, Ali Nayer, Gabriel N. Contreras, Eunsil Hahm, Mehmet M. Altintas, Nada Alachkar, Ranadheer Reddy Dande, Nicholas J. Tardi, Shikha Wadhwani and Jing Li. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine, American Journal of Kidney Diseases, JAMA Internal Medicine and Cell and Tissue Research.
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.