Jeanne M. Wehner

10.2k citations
104 papers · 7.5k indexed · 2 hit papers · h-index 43
Topics
Neuroscience and Neuropharmacology Research (57 papers)Memory and Neural Mechanisms (33 papers)Receptor Mechanisms and Signaling (24 papers)

In The Last Decade

Jeanne M. Wehner

104 papers receiving 7.3k citations

Hit Papers

Behavioral phenotypes of inbred mouse strains: implicatio...1992202620032014199719922505007501000

Peers

Jeanne M. Wehner
Comparison fields: 5 of 125
  • Cellular and Molecular Neuroscience 4.4k
  • Molecular Biology 3.3k
  • Cognitive Neuroscience 2.6k
  • Behavioral Neuroscience 1.1k
  • Social Psychology 925
Replace Yutaka Oomura with:
Yutaka Oomura Japan
Joseph P. Huston Germany
Herbert Schwegler Germany
Vadim Y. Bolshakov United States
A. Ennaceur United Kingdom
Danny G. Winder United States
John K. Belknap United States
Wim E. Crusio France
Jens D. Mikkelsen Denmark
Gregg E. Homanics United States
Jeanne M. Wehner relative to Yutaka Oomura Japan Yutaka Oomura's profile →
Citations per field
00.5×1.5×
Yutaka Oomura · 1×
Citations per year

Countries citing papers authored by Jeanne M. Wehner

Since Specialization
Citations

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

Fields of papers citing papers by Jeanne M. Wehner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeanne M. Wehner. 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 Jeanne M. Wehner. The network helps show where Jeanne M. Wehner may publish in the future.

Co-authorship network of co-authors of Jeanne M. Wehner

This figure shows the co-authorship network connecting the top 25 collaborators of Jeanne M. Wehner. A scholar is included among the top collaborators of Jeanne M. Wehner 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 Jeanne M. Wehner. Jeanne M. Wehner 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 37
2 14
3 45
4 43
5 41
6 54
7 117
8
Behavioral phenotypes of inbred mouse strains: implications and recommendations for molecular studiesbreakdown →
1151
9 145
10 28
11 223
12 1
13 8
14 20
15 8
16 21
17 106
18 13
19 13
20 19

About Jeanne M. Wehner

Jeanne M. Wehner is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cognitive Neuroscience, having authored 104 papers that have together received 7.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (57 papers), Memory and Neural Mechanisms (33 papers) and Receptor Mechanisms and Signaling (24 papers). The work is most often cited by research in Behavioral Neuroscience (1.1k citations), Cellular and Molecular Neuroscience (4.4k citations) and Cognitive Neuroscience (2.6k citations). Jeanne M. Wehner has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Richard Paylor, Alcino J. Silva, Margaret Upchurch, Susumu Tonegawa, Allan C. Collins, Barbara J. Bowers, Sheree F. Logue, Richard A. Radcliffe, Jerry W. Rudy and Ryan Tracy. Their work appears in journals such as Nature, Science and Cell.

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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