Vasil Peev

3.2k citations
12 papers · 299 · h-index 7

Impact in

  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies
    • Chronic Kidney Disease and Diabetes
    • Dialysis and Renal Disease Management
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Renal Diseases and Glomerulopathies 5
    • Chronic Kidney Disease and Diabetes 4
    • Bladder and Urothelial Cancer Treatments 1

Vasil Peev

11 papers receiving 297 citations

Peers

Vasil Peev
Comparison fields: 5 of 49
  • Nephrology 124
  • Transplantation 30
  • Genetics 19
  • Immunology 36
  • Cancer Research 24
Replace Luigi Cirillo with:
Luigi Cirillo Italy
Hidehisa Kitada Japan
Xu Zeng United States
Tuelay Kisner Germany
Christian Hanna United States
Ryuzoh Nishizono United States
Zbigniew Hruby Poland
Leo Francis Australia
C. Brunati Italy
Hirosuke Nakata Japan
Vasil Peev relative to Luigi Cirillo Italy Luigi Cirillo's profile →
Citations per field
00.5×10×20×30×36×
Luigi Cirillo · 1×
Citations per year

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-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.

Border = papers with Vasil Peev Line = papers co-authored together Vasil Peev links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2016109
2 201353
3 201433
4 201732
5 201923
6 202021
7 201015
8 20214
9 20164
10 20143
11 20172
12 20240

About Vasil Peev

Vasil Peev is a scholar working on Nephrology, Surgery, Molecular Biology, Transplantation and Infectious Diseases, having authored 12 papers that have together received 299 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Renal Transplantation Outcomes and Treatments (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Bladder and Urothelial Cancer Treatments (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Neurological Complications and Syndromes (1 paper) and Systemic Lupus Erythematosus Research (1 paper). The work is most often cited by research in Nephrology (124 citations), Transplantation (30 citations), Genetics (19 citations), Immunology (36 citations) and Cancer Research (24 citations). Vasil Peev has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Jochen Reiser, Ali Nayer, Gabriel Contreras, Mehmet M. Altintas, Nada Alachkar, Ranadheer R. Dande, Eunsil Hahm, Jochen Reiser, Nicholas J. Tardi and Yanxia Cao. Their work appears in journals such as Nature Medicine, American Journal of Nephrology, Journal of Clinical Investigation, Seminars in Dialysis and Frontiers in Endocrinology.

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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