J. Schnermann

2.9k citations
64 papers · 2.3k indexed · h-index 29

J. Schnermann

64 papers receiving 2.1k citations

Peers

J. Schnermann
Comparison fields: 5 of 104
  • Nephrology 552
  • Cardiology and Cardiovascular Medicine 680
  • Physiology 571
  • Physiology 96
  • Endocrinology, Diabetes and Metabolism 310
Replace L. Gabriel Navar with:
L. Gabriel Navar United States
Franklyn G. Knox United States
Martin G. Cogan United States
Paul C. Churchill United States
Pamela K. Carmines United States
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Kerstin Richter Germany
Sandford L. Skinner Australia
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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-authorship network

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
#Work
1 20081
2 200634
3 200557
4 200029
5 199814
6 199543
7 199260
8
Renal effects of atrial natriuretic peptides.
19876
9
Evidence for an involvement of dopamine receptors in the natriuretic response to atrial natriuretic peptide.
19879
10 198420
11 198023
12
A role of renal cortical prostaglandins in the control of glomerular filtration rate in rat kidneys.
19807
13 19757
14 19758
15 19749
16 197220
17
[Microprobe measurement of electrolytes in kidney sections: first results].
19713
18 19712
19 196840
20
[MICROPUNCTURE EXPERIMENTS ON THE BEHAVIOR OF THE PAH CONCENTRATION IN THE VASA RECATA-BLOOD OF GOLDEN HAMSTER KIDNEY].
19657

About J. Schnermann

J. Schnermann is a scholar working on Nephrology, Physiology and Cardiology and Cardiovascular Medicine, having authored 64 papers that have together received 2.3k 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 (10 papers), Birth, Development, and Health (7 papers), Renal function and acid-base balance (5 papers), Heart Failure Treatment and Management (5 papers), Chronic Kidney Disease and Diabetes (4 papers) and Dialysis and Renal Disease Management (4 papers). The work is most often cited by research in Nephrology (552 citations), Cardiology and Cardiovascular Medicine (680 citations) and Physiology (571 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 Pharmacology and Experimental Therapeutics and American Journal of Physiology-Legacy Content.

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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