Werner Winkelmann

77 papers receiving 1.3k citations

Peers

Werner Winkelmann
Comparison fields: 5 of 76
  • Behavioral Neuroscience 199
  • Endocrinology, Diabetes and Metabolism 787
  • Anesthesiology and Pain Medicine 114
  • Cellular and Molecular Neuroscience 91
  • Public Health, Environmental and Occupational Health 102
Replace Helmut G. Dörr with:
Helmut G. Dörr Germany
GORDON L. NOEL United States
CHRISTINA E. GRAY United Kingdom
Paul Cushman United States
Lothar Kerp Germany
M. J. Evans New Zealand
Louyse A. Lee United States
Frederic M. Kenny United States
R. L. HIMSWORTH United Kingdom
John E. Tyson United States
Werner Winkelmann relative to Helmut G. Dörr Germany Helmut G. Dörr's profile →
Citations per field
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Helmut G. Dörr · 1×
Citations per year

Countries citing papers authored by Werner Winkelmann

Since Specialization
Citations

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

Fields of papers citing papers by Werner Winkelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990193
2 1993133
3 198589
4 199678
5 198777
6 198771
7 198363
8 198462
9 198858
10 198241
11 198840
12 199633
13 199431
14 199029
15 199429
16 198128
17 198627
18 200626
19 198224
20 199622

About Werner Winkelmann

Werner Winkelmann is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Reproductive Medicine, Surgery and Epidemiology, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (32 papers), Adrenal Hormones and Disorders (31 papers), Stress Responses and Cortisol (10 papers), Adrenal and Paraganglionic Tumors (7 papers), Hypothalamic control of reproductive hormones (4 papers), Trypanosoma species research and implications (4 papers), Neuropeptides and Animal Physiology (4 papers) and Anesthesia and Sedative Agents (3 papers). The work is most often cited by research in Behavioral Neuroscience (199 citations), Endocrinology, Diabetes and Metabolism (787 citations), Anesthesiology and Pain Medicine (114 citations), Cellular and Molecular Neuroscience (91 citations) and Public Health, Environmental and Occupational Health (102 citations). Werner Winkelmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bruno Allolio, Martín Reincke, Ralph Stuttmann, Heinrich M. Schulte, E.A. Linton, Håkan Fischer, Wolfgang Saeger, H. M. Schulte, Dieter Knorr and D. Engelhardt. Their work appears in journals such as Journal of Molecular Medicine, European Journal of Endocrinology, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism and The Lancet.

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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