Stephan Steinlechner

94 papers receiving 3.2k citations

Peers

Stephan Steinlechner
Comparison fields: 5 of 109
  • Endocrine and Autonomic Systems 1.8k
  • Aging 116
  • Physiology 1.4k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Behavioral Neuroscience 113
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Roberto Refinetti United States
Roelof A. Hut Netherlands
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Michal Zeman Slovakia
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Citations per field
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Citations per year

Countries citing papers authored by Stephan Steinlechner

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Steinlechner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981254
2 1981217
3 1981177
4 1989157
5 1982155
6 1983137
7 2002122
8 1993118
9 2008101
10 200687
11 199179
12 198278
13 201078
14 198268
15 198360
16 199756
17 198555
18 200653
19 198252
20 198450

About Stephan Steinlechner

Stephan Steinlechner is a scholar working on Endocrine and Autonomic Systems, Physiology, Ecology, Evolution, Behavior and Systematics, Cellular and Molecular Neuroscience and Ecology, having authored 95 papers that have together received 3.4k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (58 papers), Adipose Tissue and Metabolism (25 papers), Bat Biology and Ecology Studies (24 papers), Physiological and biochemical adaptations (23 papers), Sleep and Wakefulness Research (10 papers), Spaceflight effects on biology (10 papers), Photoreceptor and optogenetics research (10 papers) and Neurobiology and Insect Physiology Research (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.8k citations), Aging (116 citations), Physiology (1.4k citations), Ecology, Evolution, Behavior and Systematics (1.1k citations) and Behavioral Neuroscience (113 citations). Stephan Steinlechner has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Gerhard Heldmaier, Johannes Rafael, Frank Scherbarth, Thomas Ruf, Russel Joseph Reiter, Violetta Pilorz, Pavel Vsiansky, Thomas S. King, Heinrich F. Becker and Urs Albrecht. Their work appears in journals such as Journal of Pineal Research, Journal of Biological Rhythms, Journal of Comparative Physiology B, Journal of Comparative Physiology A and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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