E Gutmann

6.7k citations
155 papers · 3.9k · h-index 34

Impact in

Papers in

E Gutmann

148 papers receiving 3.5k citations

Peers

E Gutmann
Comparison fields: 5 of 129
  • Cellular and Molecular Neuroscience 1.2k
  • Cell Biology 642
  • Developmental Neuroscience 129
  • Neurology 264
  • Physiology 787
Replace I. A. Boyd with:
I. A. Boyd United Kingdom
Frederick J. Samaha United States
F. A. Sréter United States
Robert J. Talmadge United States
Arthur Hess United States
Clarke R. Slater United Kingdom
Lloyd Guth United States
Kenneth M. Baldwin United States
H. Richard Koerber United States
Heinz Steffens Germany
E Gutmann relative to I. A. Boyd United Kingdom I. A. Boyd's profile →
Citations per field
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I. A. Boyd · 1×
Citations per year

Countries citing papers authored by E Gutmann

Since Specialization
Citations

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

Fields of papers citing papers by E Gutmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968299
2 1976226
3
Involution and hormone-induced persistence of the M. sphincter (levator) ani in female rats.
1970195
4 1968186
5 1966137
6 1975133
7 1971127
8 1971111
9 1962105
10 197287
11 197569
12 196561
13 197057
14 197250
15 197649
16 196448
17 197347
18 197544
19 197743
20
EFFECT OF INCREASED MOTOR ACTIVITY ON REGENERATION OF THE PERIPHERAL NERVE IN YOUNG RATS.
196343

About E Gutmann

E Gutmann is a scholar working on Molecular Biology, Physiology, Cell Biology, Cellular and Molecular Neuroscience and Surgery, having authored 155 papers that have together received 3.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (40 papers), Muscle metabolism and nutrition (25 papers), Adipose Tissue and Metabolism (20 papers), Muscle activation and electromyography studies (14 papers), Nerve injury and regeneration (10 papers), Tissue Engineering and Regenerative Medicine (10 papers), Exercise and Physiological Responses (9 papers) and Transcranial Magnetic Stimulation Studies (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Cell Biology (642 citations), Developmental Neuroscience (129 citations), Neurology (264 citations) and Physiology (787 citations). E Gutmann has collaborated with scholars based in Czechia, United States and Italy. Frequent co-authors include V. Hanzlíková, Bruce M. Carlson, I Syrový, J Melichna, F. Vyskočil, I Hájek, R Cihák, Liliana Lubińska, Jiřina Zelená and Mark C. Jenkins. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Cellular and Molecular Life Sciences, Experimental Neurology, Cell and Tissue Research and Nature.

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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