Vasil Peev

3.2k total citations
12 papers, 277 citations indexed

About

Vasil Peev is a scholar working on Nephrology, Surgery and Molecular Biology. According to data from OpenAlex, Vasil Peev has authored 12 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nephrology, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Vasil Peev's work include Chronic Kidney Disease and Diabetes (6 papers), Renal Diseases and Glomerulopathies (6 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Vasil Peev is often cited by papers focused on Chronic Kidney Disease and Diabetes (6 papers), Renal Diseases and Glomerulopathies (6 papers) and Renal Transplantation Outcomes and Treatments (2 papers). Vasil Peev collaborates with scholars based in United States and Switzerland. Vasil Peev's co-authors include Jochen Reiser, Ali Nayer, Gabriel Contreras, Mehmet M. Altintas, Nada Alachkar, Ranadheer R. Dande, Yanxia Cao, Nicholas J. Tardi, Jochen Reiser and Eunsil Hahm and has published in prestigious journals such as Journal of Clinical Investigation, Nature Medicine and Cell and Tissue Research.

In The Last Decade

Vasil Peev

11 papers receiving 275 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vasil Peev United States	7	155	42	41	39	36	12	277
Amir Shabaka Spain	10	215 1.4×	50 1.2×	42 1.0×	76 1.9×	78 2.2×	37	418
Abdallah Sassine Geara United States	9	82 0.5×	48 1.1×	39 1.0×	47 1.2×	90 2.5×	44	308
Johanna T. Kurzhagen United States	10	156 1.0×	42 1.0×	80 2.0×	85 2.2×	32 0.9×	13	343
Edward Bourry France	10	129 0.8×	48 1.1×	85 2.1×	74 1.9×	93 2.6×	16	359
Dhruti P. Chen United States	6	190 1.2×	76 1.8×	73 1.8×	88 2.3×	71 2.0×	11	361
Hédi Ben Maïz Tunisia	10	137 0.9×	56 1.3×	18 0.4×	65 1.7×	55 1.5×	44	339
Zbigniew Hruby Poland	9	112 0.7×	50 1.2×	56 1.4×	62 1.6×	40 1.1×	32	282
Dominique S. Genest Canada	7	84 0.5×	23 0.5×	77 1.9×	37 0.9×	38 1.1×	12	314
Florian G. Scurt Germany	9	88 0.6×	80 1.9×	40 1.0×	76 1.9×	49 1.4×	32	360
Hélène Lazareth France	12	100 0.6×	71 1.7×	17 0.4×	129 3.3×	93 2.6×	36	370

Countries citing papers authored by Vasil Peev

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Vasil Peev

This figure shows the co-authorship network connecting the top 25 collaborators of Vasil Peev. A scholar is included among the top collaborators of Vasil Peev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vasil Peev. Vasil Peev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Santos, Carlos, et al.. (2024). Outcomes of Bladder Washout for the Treatment of Recurrent Urinary Tract Infections After Renal Transplantation. Cureus. 16(4). e58556–e58556.

Santos, Carlos A.Q., Yoona Rhee, Edward F. Hollinger, et al.. (2021). Comparative incidence and outcomes of COVID‐19 in kidney or kidney‐pancreas transplant recipients versus kidney or kidney‐pancreas waitlisted patients: A single‐center study. Clinical Transplantation. 35(8). e14362–e14362. 4 indexed citations

Whittier, William L., et al.. (2020). Percutaneous Renal Biopsy Using an 18-Gauge Automated Needle Is Not Optimal. American Journal of Nephrology. 51(12). 982–987. 18 indexed citations

Koh, Kwi Hye, Yanxia Cao, Steve Mangos, et al.. (2019). Nonimmune cell–derived ICOS ligand functions as a renoprotective αvβ3 integrin–selective antagonist. Journal of Clinical Investigation. 129(4). 1713–1726. 21 indexed citations

Dande, Ranadheer R., Vasil Peev, Mehmet M. Altintas, & Jochen Reiser. (2017). Soluble Urokinase Receptor and the Kidney Response in Diabetes Mellitus. Journal of Diabetes Research. 2017. 1–9. 30 indexed citations

Hahm, Eunsil, Vasil Peev, & Jochen Reiser. (2017). Extrarenal determinants of kidney filter function. Cell and Tissue Research. 369(1). 211–216. 2 indexed citations

Hahm, Eunsil, Changli Wei, Isabel Cuesta Fernández, et al.. (2016). Bone marrow-derived immature myeloid cells are a main source of circulating suPAR contributing to proteinuric kidney disease. Nature Medicine. 23(1). 100–106. 101 indexed citations

Peev, Vasil. (2016). We Wait Too Long to Refer Patients for Transplantation. Seminars in Dialysis. 29(4). 318–319. 4 indexed citations

Peev, Vasil, Jochen Reiser, & Nada Alachkar. (2014). Diabetes Mellitus in the Transplanted Kidney. Frontiers in Endocrinology. 5. 141–141. 30 indexed citations

10.

Mendoza, Jair Munoz, et al.. (2014). Amyloid A amyloidosis with subcutaneous drug abuse.. PubMed. 3(1). 11–6. 2 indexed citations

11.

Peev, Vasil, Ali Nayer, & Gabriel Contreras. (2013). Dyslipidemia, malnutrition, inflammation, cardiovascular disease and mortality in chronic kidney disease. Current Opinion in Lipidology. 25(1). 54–60. 52 indexed citations

12.

Kistler, Andreas D., et al.. (2010). Enzymatic disease of the podocyte. Pediatric Nephrology. 25(6). 1017–1023. 13 indexed citations

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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