Mona Oppermann

1.1k citations
28 papers · 955 · h-index 16

Impact in

  • Nephrology top 5%
  • Physiology top 5%
    • Nitric Oxide and Endothelin Effects
    • Adenosine and Purinergic Signaling

Papers in

Mona Oppermann

27 papers receiving 924 citations

Peers

Mona Oppermann
Comparison fields: 5 of 78
  • Nephrology 147
  • Physiology 73
  • Cardiology and Cardiovascular Medicine 278
  • Endocrinology, Diabetes and Metabolism 180
  • Molecular Biology 484
Replace Attila Fintha with:
Attila Fintha Hungary
Hisato Sakamoto Japan
Craig F. Plato United States
Yihung Huang United States
Morimasa Amemiya Japan
Søren Steen Nielsen Denmark
Sobuj Mia Germany
Rudolf M. Snajdar United States
Karina Thieme Brazil
Anne Riquier‐Brison United States
Mona Oppermann relative to Attila Fintha Hungary Attila Fintha's profile →
Citations per field
00.5×1.5×2×
Attila Fintha · 1×
Citations per year

Countries citing papers authored by Mona Oppermann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200683
2 200880
3 200778
4 199267
5 200665
6 200564
7 200560
8 200756
9 200756
10 201047
11 201040
12 200937
13 201334
14 201333
15 201033
16 200826
17 200916
18 201315
19 200715
20 200613

About Mona Oppermann

Mona Oppermann is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Molecular Biology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 955 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (11 papers), Ion Transport and Channel Regulation (11 papers), Receptor Mechanisms and Signaling (7 papers), Adenosine and Purinergic Signaling (5 papers), Nitric Oxide and Endothelin Effects (5 papers), Hormonal Regulation and Hypertension (4 papers), Renal and related cancers (3 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Nephrology (147 citations), Physiology (73 citations), Cardiology and Cardiovascular Medicine (278 citations), Endocrinology, Diabetes and Metabolism (180 citations) and Molecular Biology (484 citations). Mona Oppermann has collaborated with scholars based in Germany, United States and Denmark. Frequent co-authors include Jurgen B. Schnermann, Hayo Castrop, Diane E. Mizel, Yu-Ning Huang, Robert Faulhaber‐Walter, Soo Mi Kim, Limeng Chen, Pernille Hansen, Josephine P. Briggs and Lee Scott 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 Hypertension.

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.

Explore authors with similar magnitude of impact