U. Schrell

2.0k citations
55 papers · 1.7k · h-index 24

Impact in

Papers in

U. Schrell

53 papers receiving 1.6k citations

Peers

U. Schrell
Comparison fields: 5 of 100
  • Endocrine and Autonomic Systems 257
  • Behavioral Neuroscience 129
  • Endocrinology, Diabetes and Metabolism 420
  • Neurology 342
  • Epidemiology 607
Replace Marc Baroncini with:
Marc Baroncini France
Gabrielle M. de Courten‐Myers United States
Hidehiko Yoshimatsu Japan
Lucia Ştefăneanu Canada
Sabina J. Strich United Kingdom
C Swanson United States
William C. Schoene United States
I. Lorén Sweden
Dean M. Cestari United States
Hisataka Kondo Japan
U. Schrell relative to Marc Baroncini France Marc Baroncini's profile →
Citations per field
00.5×3.1×
Marc Baroncini · 1×
Citations per year

Countries citing papers authored by U. Schrell

Since Specialization
Citations

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

Fields of papers citing papers by U. Schrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside U. Schrell, 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. Schrell Line = papers co-authored together U. Schrell 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 1981212
2 1997165
3 1997111
4
Immunohistochemistry of vasopressin, oxytocin and neurophysin in the hypothalamus and extrahypothalamic regions of the human and primate brain.
1981108
5 198298
6 199083
7 199071
8 200160
9 200055
10 198755
11 198053
12 198752
13 198746
14 199045
15 199540
16 199639
17 199237
18 199136
19 199834
20 198934

About U. Schrell

U. Schrell is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery, Neurology and Molecular Biology, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Meningioma and schwannoma management (24 papers), Pituitary Gland Disorders and Treatments (22 papers), Head and Neck Surgical Oncology (11 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Stress Responses and Cortisol (5 papers), Adrenal Hormones and Disorders (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (257 citations), Behavioral Neuroscience (129 citations), Endocrinology, Diabetes and Metabolism (420 citations), Neurology (342 citations) and Epidemiology (607 citations). U. Schrell has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Michael V. Sofroniew, Rudolf Fahlbusch, Eric F. Adams, Marc Anders, Rolf Marschalek, Franklin Kiesewetter, U Koch, Michael Rittig, Michael Buchfelder and Rudolf Fahlbusch. Their work appears in journals such as Journal of neurosurgery, European Journal of Endocrinology, Neurosurgical FOCUS, Journal of Histochemistry & Cytochemistry and The Journal of Clinical Endocrinology & Metabolism.

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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