Stephan Steidl

700 citations
21 papers · 515 · h-index 14

Impact in

Papers in

Stephan Steidl

21 papers receiving 502 citations

Peers

Stephan Steidl
Comparison fields: 5 of 75
  • Cellular and Molecular Neuroscience 335
  • Cognitive Neuroscience 199
  • Endocrine and Autonomic Systems 57
  • Sensory Systems 40
  • Behavioral Neuroscience 26
Replace Ruey‐Ming Liao with:
Ruey‐Ming Liao Taiwan
Liudmila Mus Russia
Meizhu Huang China
Shelly D. Dickinson United States
Caitlin V. Cosme United States
John H. Harkness United States
Andrew J. Kesner United States
Justin N. Siemian United States
Ilya Sukhanov Russia
Sheri J.Y. Mizumori United States
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Citations per field
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Ruey‐Ming Liao · 1×
Citations per year

Countries citing papers authored by Stephan Steidl

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Steidl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200682
2 201761
3 201152
4 201649
5 201532
6 200131
7 200831
8 201725
9 201424
10 201024
11 200123
12 200116
13 200316
14 201715
15 201511
16 20049
17 20215
18 20193
19 20172
20 20132

About Stephan Steidl

Stephan Steidl is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Endocrine and Autonomic Systems, Social Psychology and Molecular Biology, having authored 21 papers that have together received 515 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (12 papers), Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (8 papers), Neuroendocrine regulation and behavior (5 papers), Sleep and Wakefulness Research (4 papers), Memory and Neural Mechanisms (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (335 citations), Cognitive Neuroscience (199 citations), Endocrine and Autonomic Systems (57 citations), Sensory Systems (40 citations) and Behavioral Neuroscience (26 citations). Stephan Steidl has collaborated with scholars based in United States, Canada and China. Frequent co-authors include John S. Yeomans, Charles D. Blaha, Jonathan C. Lee, Kevin K. Veverka, Anthony D. Miller, Liang Li, Roy A. Wise, Shiliang Steven Zhang, Marisela Morales and Huiling Wang. Their work appears in journals such as Behavioural Brain Research, Neuroscience, Behavioral Neuroscience, PLoS ONE and Brain Research.

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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