Susanne Fehr

45 papers receiving 2.2k citations

Peers

Susanne Fehr
Comparison fields: 5 of 109
  • Cellular and Molecular Neuroscience 456
  • Cardiology and Cardiovascular Medicine 428
  • Immunology 353
  • Nephrology 105
  • Molecular Biology 1.0k
Replace Carlos A. Molina with:
Carlos A. Molina United States
Thomas B. Barrett United States
Jens van den Brandt Germany
Yvonne Hort Australia
Bruce A. Hamilton United States
Cornelis Van Dop United States
Boris V. Skryabin Germany
Martina Kirstein Spain
Christine B. Gurniak Germany
Maria D. Lalioti United States
Susanne Fehr relative to Carlos A. Molina United States Carlos A. Molina's profile →
Citations per field
00.5×3.3×
Carlos A. Molina · 1×
Citations per year

Countries citing papers authored by Susanne Fehr

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Fehr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000423
2 2010158
3 1991150
4 2009139
5 1992132
6 2002100
7 200483
8 200578
9 200775
10 199374
11 199368
12 201165
13 200960
14 200359
15 198756
16 200152
17 199749
18 199748
19 200845
20 200939

About Susanne Fehr

Susanne Fehr is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Social Psychology and Oncology, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Chemokine receptors and signaling (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (3 papers), Renin-Angiotensin System Studies (3 papers), Hormonal Regulation and Hypertension (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (456 citations), Cardiology and Cardiovascular Medicine (428 citations), Immunology (353 citations), Nephrology (105 citations) and Molecular Biology (1.0k citations). Susanne Fehr has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include D. Richter, Evita Mohr, Dietmar Richter, Wolfgang Meyerhof, Markus Bleich, Björn C. Schroeder, Siegfried Waldegger, R. Greger, Thomas J. Jentsch and Richard Warth. Their work appears in journals such as Neurobiology of Disease, Journal of the American Society of Nephrology, The Journal of Immunology, Kidney International and FEBS Letters.

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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