H Gerl

611 citations
26 papers · 419 · h-index 12

Impact in

Papers in

H Gerl

24 papers receiving 409 citations

Peers

H Gerl
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 268
  • Genetics 36
  • Neurology 50
  • Hematology 36
  • Surgery 121
Replace R.J.M. Ross with:
R.J.M. Ross United Kingdom
Nikolette Szücs Hungary
R. Windeck Germany
S. Ferasin Italy
Yuichi Fujinaka Japan
Elżbieta Wrotkowska Poland
S. Obradović Czechia
Francesca Dassie Italy
Aristides Lytras Canada
Inês Donangelo United States
H Gerl relative to R.J.M. Ross United Kingdom R.J.M. Ross's profile →
Citations per field
00.5×
R.J.M. Ross · 1×
Citations per year

Countries citing papers authored by H Gerl

Since Specialization
Citations

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

Fields of papers citing papers by H Gerl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200075
2 200062
3 199956
4 200237
5 200235
6 200730
7 200323
8 200718
9 199917
10 200315
11
Cushing's syndrome due to ACTH-secreting pheochromocytoma.
200813
12 200012
13 20085
14
10 years follow-up of transsphenoidal pituitary surgery in acromegaly.
19824
15 19993
16 20062
17 20082
18
[Pregnancy in hyperprolactinemic patients].
19962
19 20002
20
[New aspects of the pathogenesis of acromegaly-somatoliberinomas].
19862

About H Gerl

H Gerl is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Neurology, Epidemiology and Physiology, having authored 26 papers that have together received 419 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (15 papers), Adrenal Hormones and Disorders (7 papers), Adrenal and Paraganglionic Tumors (5 papers), Neuroblastoma Research and Treatments (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Parathyroid Disorders and Treatments (2 papers) and Histiocytic Disorders and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (268 citations), Genetics (36 citations), Neurology (50 citations), Hematology (36 citations) and Surgery (121 citations). H Gerl has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Herbert Lochs, Henrik Biering, M Ventz, Matthias Pirlich, F Stahl, J Bauditz, W. Rohde, Bernd Schmidt, Christian J. Strasburger and Marcus Quinkler. Their work appears in journals such as Experimental and Clinical Endocrinology & Diabetes, Hormone Research in Paediatrics, Gastroenterology, Hormone and Metabolic Research and Clinical Endocrinology.

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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