Eugen Widmeier
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- Biochemical Acid Research Studies
Papers in
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- Renal Diseases and Glomerulopathies 6
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- Renal and related cancers 5
- Coenzyme Q10 studies and effects 2
- Co-authors
- Friedhelm Hildebrandt (7 shared papers)David Schapiro (4 shared papers)Merlin Airik (4 shared papers)Gerd Walz (3 shared papers)Björn Hartleben (2 shared papers)Tobias B. Huber (2 shared papers)Catherine F. Clarke (2 shared papers)Makiko Nakayama (3 shared papers)
- Journals
- Journal of the American Society of Nephrology (3 papers)Artificial Organs (2 papers)Human Molecular Genetics (1 paper)The American Journal of Human Genetics (1 paper)American Journal of Physiology-Renal Physiology (1 paper)
- Partner nations
- GermanyUnited StatesSouth Korea
In The Last Decade
Eugen Widmeier
20 papers receiving 310 citations
Peers
Comparison fields: 5 of 56
- Nephrology 104
- Biochemistry 22
- Genetics 72
- Molecular Biology 174
- Critical Care and Intensive Care Medicine 9
Countries citing papers authored by Eugen Widmeier
This map shows the geographic impact of Eugen Widmeier'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 Eugen Widmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugen Widmeier more than expected).
Fields of papers citing papers by Eugen Widmeier
This network shows the impact of papers produced by Eugen Widmeier. 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 Eugen Widmeier. The network helps show where Eugen Widmeier may publish in the future.
Co-authors
The 25 scholars most cited alongside Eugen Widmeier, 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 | 2012 | 46 | |
| 2 | 2020 | 46 | |
| 3 | 2019 | 42 | |
| 4 | 2019 | 33 | |
| 5 | 2013 | 31 | |
| 6 | 2017 | 25 | |
| 7 | 2021 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 11 | |
| 10 | 2016 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 6 | |
| 14 | 2020 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2019 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2017 | 1 |
About Eugen Widmeier
Eugen Widmeier is a scholar working on Nephrology, Molecular Biology, Genetics, Biomedical Engineering and Urology, having authored 20 papers that have together received 314 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (6 papers), Renal and related cancers (5 papers), Genetic and Kidney Cyst Diseases (3 papers), Mechanical Circulatory Support Devices (3 papers), Coenzyme Q10 studies and effects (2 papers), Sexual function and dysfunction studies (2 papers), Sexuality, Behavior, and Technology (2 papers) and Adolescent and Pediatric Healthcare (1 paper). The work is most often cited by research in Nephrology (104 citations), Biochemistry (22 citations), Genetics (72 citations), Molecular Biology (174 citations) and Critical Care and Intensive Care Medicine (9 citations). Eugen Widmeier has collaborated with scholars based in Germany, United States and South Korea. Frequent co-authors include Friedhelm Hildebrandt, David Schapiro, Merlin Airik, Gerd Walz, Björn Hartleben, Tobias B. Huber, Catherine F. Clarke, Makiko Nakayama, Anish Nag and Heon Yung Gee. Their work appears in journals such as Journal of the American Society of Nephrology, Artificial Organs, Human Molecular Genetics, The American Journal of Human Genetics and American Journal of Physiology-Renal Physiology.
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.