Mona Oppermann
- Nephrology top 5%
- Physiology top 5%
- Adenosine and Purinergic Signaling 5
- Nitric Oxide and Endothelin Effects 4
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- Renin-Angiotensin System Studies 11
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- Hormonal Regulation and Hypertension 4
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- Ion Transport and Channel Regulation 12
- Receptor Mechanisms and Signaling 7
- Renal and related cancers 3
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- Pancreatic function and diabetes 3
- Co-authors
- Hayo CastropJürgen SchnermannJosephine P. BriggsDiane MizelYuning HuangRobert Faulhaber‐WalterSoo Mi KimLimeng Chen
- Journals
- American Journal of Physiology-Renal Physiology (9 papers)Journal of the American Society of Nephrology (5 papers)The FASEB Journal (2 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Mona Oppermann
26 papers receiving 886 citations
Peers
Comparison fields: 5 of 78
- Nephrology 165
- Physiology 79
- Cardiology and Cardiovascular Medicine 285
- Endocrinology, Diabetes and Metabolism 196
- Molecular Biology 477
Countries citing papers authored by Mona Oppermann
This map shows the geographic impact of Mona Oppermann'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 Mona Oppermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Oppermann more than expected).
Fields of papers citing papers by Mona Oppermann
This network shows the impact of papers produced by Mona Oppermann. 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 Mona Oppermann. The network helps show where Mona Oppermann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mona Oppermann, 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 | 2010 | 39 | |
| 2 | 2010 | 33 | |
| 3 | 2010 | 45 | |
| 4 | 2009 | 13 | |
| 5 | 2009 | 38 | |
| 6 | 2008 | 78 | |
| 7 | 2008 | 22 | |
| 8 | 2007 | 67 | |
| 9 | 2007 | 53 | |
| 10 | 2007 | 13 | |
| 11 | 2007 | 2 | |
| 12 | 2006 | 82 | |
| 13 | 2006 | 54 | |
| 14 | 2006 | 14 | |
| 15 | 2005 | 57 | |
| 16 | 2005 | 56 | |
| 17 | 2001 | 13 | |
| 18 | 2001 | 4 | |
| 19 | 1997 | 12 | |
| 20 | 1992 | 65 |
About Mona Oppermann
Mona Oppermann is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 26 papers that have together received 899 indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (12 papers), Renin-Angiotensin System Studies (11 papers), Receptor Mechanisms and Signaling (7 papers), Adenosine and Purinergic Signaling (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Hormonal Regulation and Hypertension (4 papers), Renal and related cancers (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Nephrology (165 citations), Physiology (79 citations) and Cardiology and Cardiovascular Medicine (285 citations). Mona Oppermann has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Hayo Castrop, Jürgen Schnermann, Josephine P. Briggs, Diane Mizel, Yuning Huang, Robert Faulhaber‐Walter, Soo Mi Kim, Limeng Chen, Pernille Hansen and Lee S. Weinstein. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of the American Society of Nephrology, The FASEB Journal, Blood and Pflügers Archiv - European Journal of 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.