Michael Parfenov
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- Chronic Lymphocytic Leukemia Research
- Genetic Associations and Epidemiology
Papers in
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- Cardiomyopathy and Myosin Studies 2
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- ATP Synthase and ATPases Research 1
- Mitochondrial Function and Pathology 1
- Co-authors
- Jonathan G. Seidman (6 shared papers)Steven R. DePalma (4 shared papers)Christine E. Seidman (5 shared papers)Joshua Gorham (5 shared papers)David A. Conner (2 shared papers)Hiroko Wakimoto (2 shared papers)Martin R. Pollak (1 shared paper)David Altshuler (1 shared paper)
- Journals
- Current Protocols in Human Genetics (2 papers)JCI Insight (1 paper)Journal of the Neurological Sciences (1 paper)Circulation Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesRussiaJapan
In The Last Decade
Michael Parfenov
10 papers receiving 255 citations
Peers
Comparison fields: 5 of 47
- Nephrology 76
- Genetics 34
- Cardiology and Cardiovascular Medicine 65
- Transplantation 5
- Gastroenterology 9
Countries citing papers authored by Michael Parfenov
This map shows the geographic impact of Michael Parfenov'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 Michael Parfenov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Parfenov more than expected).
Fields of papers citing papers by Michael Parfenov
This network shows the impact of papers produced by Michael Parfenov. 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 Michael Parfenov. The network helps show where Michael Parfenov may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Parfenov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 110 | |
| 2 | 2016 | 75 | |
| 3 | 2007 | 22 | |
| 4 | 2018 | 20 | |
| 5 | 2009 | 9 | |
| 6 | 2018 | 7 | |
| 7 | 2021 | 7 | |
| 8 | 2025 | 4 | |
| 9 | 2018 | 3 | |
| 10 | 2015 | 2 |
About Michael Parfenov
Michael Parfenov is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Genetics, Plant Science and Infectious Diseases, having authored 10 papers that have together received 259 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (2 papers), ATP Synthase and ATPases Research (1 paper), Genomics and Rare Diseases (1 paper), Genetic Associations and Epidemiology (1 paper), Bacteriophages and microbial interactions (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Mitochondrial Function and Pathology (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Nephrology (76 citations), Genetics (34 citations), Cardiology and Cardiovascular Medicine (65 citations), Transplantation (5 citations) and Gastroenterology (9 citations). Michael Parfenov has collaborated with scholars based in United States, Russia and Japan. Frequent co-authors include Jonathan G. Seidman, Steven R. DePalma, Christine E. Seidman, Joshua Gorham, David A. Conner, Hiroko Wakimoto, Martin R. Pollak, David Altshuler, Stephen Chang and James G. Wilson. Their work appears in journals such as Current Protocols in Human Genetics, JCI Insight, Journal of the Neurological Sciences, Circulation Research and PLoS ONE.
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.