Eugen Widmeier
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Chronic Kidney Disease and Diabetes
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- Genetic and Kidney Cyst Diseases
Papers in
-
- Renal and related cancers 8
-
- Renal Diseases and Glomerulopathies 6
- Chronic Kidney Disease and Diabetes 2
- Co-authors
- Friedhelm Hildebrandt (7 shared papers)David Schapiro (4 shared papers)Merlin Airik (4 shared papers)Björn Hartleben (2 shared papers)Gerd Walz (3 shared papers)Tobias B. Huber (2 shared papers)Hannah Hugo (4 shared papers)Heon Yung Gee (3 shared papers)
- Journals
- Journal of the American Society of Nephrology (3 papers)Artificial Organs (2 papers)Scientific Reports (1 paper)Human Molecular Genetics (1 paper)Pediatric Nephrology (1 paper)
- Partner nations
- GermanyUnited StatesSouth Korea
In The Last Decade
Eugen Widmeier
19 papers receiving 294 citations
Peers
Comparison fields: 5 of 59
- Nephrology 105
- Genetics 85
- Biochemistry 22
- Critical Care and Intensive Care Medicine 14
- Molecular Biology 185
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 | 2020 | 44 | |
| 2 | 2012 | 44 | |
| 3 | 2019 | 39 | |
| 4 | 2019 | 31 | |
| 5 | 2013 | 30 | |
| 6 | 2017 | 24 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 13 | |
| 9 | 2019 | 11 | |
| 10 | 2016 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 6 | |
| 14 | 2019 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2017 | 1 | |
| 20 | 2025 | 0 |
About Eugen Widmeier
Eugen Widmeier is a scholar working on Molecular Biology, Nephrology, Surgery, Genetics and Biomedical Engineering, having authored 20 papers that have together received 297 indexed citations. Recurring topics across this work include Renal and related cancers (8 papers), Renal Diseases and Glomerulopathies (6 papers), Genetic and Kidney Cyst Diseases (3 papers), Mechanical Circulatory Support Devices (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Sexuality, Behavior, and Technology (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Nephrology (105 citations), Genetics (85 citations), Biochemistry (22 citations), Critical Care and Intensive Care Medicine (14 citations) and Molecular Biology (185 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, Björn Hartleben, Gerd Walz, Tobias B. Huber, Hannah Hugo, Heon Yung Gee, Catherine F. Clarke and Anish Nag. Their work appears in journals such as Journal of the American Society of Nephrology, Artificial Organs, Scientific Reports, Human Molecular Genetics and Pediatric Nephrology.
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.