V. Bähr

2.7k citations
68 papers · 2.1k · h-index 28

Impact in

Papers in

V. Bähr

68 papers receiving 2.1k citations

Peers

V. Bähr
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Behavioral Neuroscience 204
  • Pharmacology 123
  • Nephrology 74
  • Reproductive Medicine 70
Replace Sven Diederich with:
Sven Diederich Germany
Lawrence M. Fishman United States
Tomoatsu Mune Japan
J C Melby United States
Philippe Boudou France
Kazuo Takebe Japan
F. P. Alford Australia
J. M. C. Connell United Kingdom
Susumu Miyabo Japan
Gilberta Giacchetti Italy
V. Bähr relative to Sven Diederich Germany Sven Diederich's profile →
Citations per field
00.5×1.5×2.3×
Sven Diederich · 1×
Citations per year

Countries citing papers authored by V. Bähr

Since Specialization
Citations

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

Fields of papers citing papers by V. Bähr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004165
2 1992128
3 2002124
4 2003116
5 1998114
6 2002101
7 200087
8 199184
9 200370
10 198868
11 200860
12 201458
13 199952
14 199051
15 199840
16 200038
17 200237
18 199837
19 198836
20 200031

About V. Bähr

V. Bähr is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Behavioral Neuroscience, Genetics and Surgery, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (37 papers), Adrenal Hormones and Disorders (15 papers), Stress Responses and Cortisol (10 papers), Electrolyte and hormonal disorders (10 papers), Estrogen and related hormone effects (8 papers), Hormonal and reproductive studies (7 papers), Neuroendocrine regulation and behavior (5 papers) and Heart Failure Treatment and Management (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Behavioral Neuroscience (204 citations), Pharmacology (123 citations), Nephrology (74 citations) and Reproductive Medicine (70 citations). V. Bähr has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include W. Oelkers, Sven Diederich, Marcus Quinkler, Christiane Bumke‐Vogt, Claudia Großmann, Andreas Pfeiffer, M. Rochel, J. Hensen, Bernhard M. Meyer and Ursula Plöckinger. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Experimental and Clinical Endocrinology & Diabetes, Clinical Endocrinology and Hormone and Metabolic Research.

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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