U Gebhardt

2.8k citations
57 papers · 2.2k · h-index 26

Impact in

Papers in

U Gebhardt

54 papers receiving 2.1k citations

Peers

U Gebhardt
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Genetics 522
  • Endocrine and Autonomic Systems 164
  • Neurology 113
  • Pediatrics, Perinatology and Child Health 116
Replace Marja Thorén with:
Marja Thorén Sweden
Charlotte Höybye Sweden
J P Luton France
Geneviève Sassolas France
G. Sassolas France
P. Paccotti Italy
B. Ambrosi Italy
Lawrence F. Borges United States
Urs Eiholzer Switzerland
G. M. Besser United Kingdom
U Gebhardt relative to Marja Thorén Sweden Marja Thorén's profile →
Citations per field
00.5×2.9×
Marja Thorén · 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004237
2 2011225
3 2015173
4 2006106
5 2005103
6 2012100
7 200781
8 201772
9 201069
10 201065
11 200464
12 201463
13 201560
14 200359
15 201254
16 201454
17 200951
18 200749
19 201445
20 200545

About U Gebhardt

U Gebhardt is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Neurology and Physiology, having authored 57 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (43 papers), Growth Hormone and Insulin-like Growth Factors (19 papers), Glioma Diagnosis and Treatment (7 papers), Adrenal and Paraganglionic Tumors (6 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Myasthenia Gravis and Thymoma (3 papers), Regulation of Appetite and Obesity (3 papers) and Cardiac pacing and defibrillation studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Genetics (522 citations), Endocrine and Autonomic Systems (164 citations), Neurology (113 citations) and Pediatrics, Perinatology and Child Health (116 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, European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism 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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