Mona Oppermann

1.1k citations
26 papers · 899 · h-index 16

Impact in

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

Papers in

Mona Oppermann

26 papers receiving 886 citations

Peers

Mona Oppermann
Comparison fields: 5 of 78
  • Nephrology 165
  • Physiology 79
  • Cardiology and Cardiovascular Medicine 285
  • Endocrinology, Diabetes and Metabolism 196
  • Molecular Biology 477
Replace Attila Fintha with:
Attila Fintha Hungary
Hisato Sakamoto Japan
Yihung Huang United States
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M. Gunning United States
Marko Bertog Germany
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Citations per field
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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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200682
2 200878
3 200767
4 199265
5 200557
6 200556
7 200755
8 200654
9 200753
10 201045
11 201039
12 200938
13 201334
14 201033
15 201332
16 200822
17 201315
18 200614
19 200913
20 200113

About Mona Oppermann

Mona Oppermann is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Physiology and Endocrinology, Diabetes and Metabolism, 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), Hormonal Regulation and Hypertension (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Pancreatic function and diabetes (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Nephrology (165 citations), Physiology (79 citations), Cardiology and Cardiovascular Medicine (285 citations), Endocrinology, Diabetes and Metabolism (196 citations) and Molecular Biology (477 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, Limeng Chen, Soo Mi Kim, 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.

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