J. Schnermann

64 papers receiving 2.3k citations

Peers

J. Schnermann
Comparison fields: 5 of 105
  • Nephrology 610
  • Cardiology and Cardiovascular Medicine 697
  • Physiology 612
  • Physiology 96
  • Endocrinology, Diabetes and Metabolism 308
Replace L. Gabriel Navar with:
L. Gabriel Navar United States
Pamela K. Carmines United States
Martin G. Cogan United States
Franklyn G. Knox United States
Thomas L. Pallone United States
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Sandford L. Skinner Australia
Kerstin Richter Germany
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Citations per field
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Citations per year

Countries citing papers authored by J. Schnermann

Since Specialization
Citations

This map shows the geographic impact of J. Schnermann'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 J. Schnermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Schnermann more than expected).

Fields of papers citing papers by J. Schnermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Schnermann. 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 J. Schnermann. The network helps show where J. Schnermann may publish in the future.

Co-authors

The 25 scholars most cited alongside J. Schnermann, 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 J. Schnermann Line = papers co-authored together J. Schnermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1965296
2 1982173
3 1996132
4 1996122
5 199396
6 196692
7 199389
8 198187
9 198578
10 196873
11 199268
12 196866
13 200561
14 197759
15 197159
16 197958
17 197952
18
Role of the renin-angiotensin system in tubuloglomerular feedback.
198647
19 199546
20 196945

About J. Schnermann

J. Schnermann is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Nephrology, Physiology and Pediatrics, Perinatology and Child Health, having authored 66 papers that have together received 2.5k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (14 papers), Nitric Oxide and Endothelin Effects (11 papers), Renin-Angiotensin System Studies (9 papers), Birth, Development, and Health (7 papers), Heart Failure Treatment and Management (5 papers), Renal function and acid-base balance (5 papers), Chronic Kidney Disease and Diabetes (4 papers) and Renal and related cancers (4 papers). The work is most often cited by research in Nephrology (610 citations), Cardiology and Cardiovascular Medicine (697 citations), Physiology (612 citations), Physiology (96 citations) and Endocrinology, Diabetes and Metabolism (308 citations). J. Schnermann has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Josephine P. Briggs, Klaus Thurau, G Schubert, Boris Steipe, Paul D. Killen, Michael Wahl, Tsung‐Ying Yang, M. Marin-Grez, M. Horster and David Z. Levine. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, American Journal of Physiology-Renal Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of the American Society of Nephrology and Journal of Molecular Medicine.

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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