U Gebhardt

2.8k citations
55 papers · 1.9k · h-index 26

Impact in

Papers in

U Gebhardt

52 papers receiving 1.9k citations

Peers

U Gebhardt
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Genetics 801
  • Endocrine and Autonomic Systems 212
  • Pediatrics, Perinatology and Child Health 197
  • Neurology 148
Replace Charlotte Höybye with:
Charlotte Höybye Sweden
Marja Thorén Sweden
Ken Darzy United Kingdom
J P Luton France
G. Sassolas France
Eugenia Resmini Spain
Fabio Trimarchi Italy
Richard C. Holgate Canada
Mihail Coculescu Romania
P. Paccotti Italy
U Gebhardt relative to Charlotte Höybye Sweden Charlotte Höybye's profile →
Citations per field
00.5×1.5×2.3×
Charlotte Höybye · 1×
Citations per year

Countries citing papers authored by U Gebhardt

Since Specialization
Citations

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

Fields of papers citing papers by U Gebhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004213
2 2011210
3 2015161
4 200595
5 200695
6 201293
7 200776
8 201764
9 201063
10 200458
11 201055
12 201454
13 201554
14 200352
15 201249
16 201448
17 200745
18 200945
19 200540
20 201439

About U Gebhardt

U Gebhardt is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Neurology and Physiology, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (43 papers), Growth Hormone and Insulin-like Growth Factors (28 papers), Glioma Diagnosis and Treatment (14 papers), Adrenal and Paraganglionic Tumors (6 papers), Myasthenia Gravis and Thymoma (4 papers), Regulation of Appetite and Obesity (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Genetics (801 citations), Endocrine and Autonomic Systems (212 citations), Pediatrics, Perinatology and Child Health (197 citations) and Neurology (148 citations). U Gebhardt has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Hermann L. Müller, Niels Sörensen, R Kolb, Andreas Faldum, Monika Warmuth‐Metz, Anika Hoffmann, N Etavard-Gorris, Gabriele Calaminus, Anthe S. Sterkenburg and Angela Emser. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, Neuropediatrics, The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology and Child s Nervous System.

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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