Rüdiger U. Hasenöhrl

2.2k citations
49 papers · 1.9k indexed · h-index 30
Topics
Neuropeptides and Animal Physiology (19 papers)Receptor Mechanisms and Signaling (17 papers)Neurotransmitter Receptor Influence on Behavior (15 papers)

In The Last Decade

Rüdiger U. Hasenöhrl

49 papers receiving 1.9k citations

Peers

Rüdiger U. Hasenöhrl
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 1.1k
  • Molecular Biology 767
  • Immunology 290
  • Sensory Systems 282
  • Cognitive Neuroscience 275
Replace Yves Lamberty with:
Yves Lamberty Belgium
Karin Rimvall Denmark
Jorge Valero Spain
Edward P. Christian United States
Shutaro Katsurabayashi Japan
Bianca Topic Germany
Guy C.‐K. Chan United States
Hisao Tago Canada
Lynne E. Rueter United States
Saobo Lei United States
Rüdiger U. Hasenöhrl relative to Yves Lamberty Belgium Yves Lamberty's profile →
Citations per field
00.5×3.0×
Yves Lamberty · 1×
Citations per year

Countries citing papers authored by Rüdiger U. Hasenöhrl

Since Specialization
Citations

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

Fields of papers citing papers by Rüdiger U. Hasenöhrl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rüdiger U. Hasenöhrl

This figure shows the co-authorship network connecting the top 25 collaborators of Rüdiger U. Hasenöhrl. A scholar is included among the top collaborators of Rüdiger U. Hasenöhrl based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rüdiger U. Hasenöhrl. Rüdiger U. Hasenöhrl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 35
2 15
3 36
4 88
5 5
6 100
7 45
8 70
9 27
10 115
11 15
12 59
13 21
14 15
15 16
16 81
17 17
18 25
19 23
20 58

About Rüdiger U. Hasenöhrl

Rüdiger U. Hasenöhrl is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Complementary and alternative medicine, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (19 papers), Receptor Mechanisms and Signaling (17 papers) and Neurotransmitter Receptor Influence on Behavior (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Sensory Systems (282 citations) and Behavioral Neuroscience (135 citations). Rüdiger U. Hasenöhrl has collaborated with scholars based in Germany, United Kingdom and Brazil. Frequent co-authors include Joseph P. Huston, J.P. Huston, Susanne Nikolaus, Uwe Wagner, Rainer K.W. Schwarting, Christian Frisch, Carlos Tomaz, C. Frisch, Bianca Topic and Claudia Mattern. Their work appears in journals such as Neuroscience, Experimental Brain Research and Psychopharmacology.

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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