Dinah Weissmann

1.5k citations
52 papers · 1.2k · h-index 20

Impact in

Papers in

    • Neuroscience and Neuropharmacology Research 20
    • Neurotransmitter Receptor Influence on Behavior 14
    • Nuclear Receptors and Signaling 4
    • RNA regulation and disease 11
    • Receptor Mechanisms and Signaling 8
    • RNA Research and Splicing 6

Dinah Weissmann

52 papers receiving 1.1k citations

Peers

Dinah Weissmann
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 630
  • Biological Psychiatry 51
  • Endocrine and Autonomic Systems 96
  • Behavioral Neuroscience 50
  • Toxicology 46
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Waisi Eng United States
François Dauphin France
Yves Claustre France
Peter Høngaard Andersen Denmark
Yukio Takamatsu Japan
Natalia Realini Italy
Keith F. Martin United Kingdom
Olivier E. Bergis France
Renqi Huang United States
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Citations per field
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Citations per year

Countries citing papers authored by Dinah Weissmann

Since Specialization
Citations

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

Fields of papers citing papers by Dinah Weissmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998124
2 198779
3 198757
4 199147
5 200046
6 201646
7 199443
8 200041
9 198637
10 199237
11 199935
12 198934
13 200034
14 199030
15 199030
16 201030
17 199027
18 200024
19 202224
20 199323

About Dinah Weissmann

Dinah Weissmann is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Physiology and Behavioral Neuroscience, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Neurotransmitter Receptor Influence on Behavior (14 papers), RNA regulation and disease (11 papers), Receptor Mechanisms and Signaling (8 papers), RNA Research and Splicing (6 papers), Viral Infections and Immunology Research (6 papers), Nuclear Receptors and Signaling (4 papers) and Aldose Reductase and Taurine (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (630 citations), Biological Psychiatry (51 citations), Endocrine and Autonomic Systems (96 citations), Behavioral Neuroscience (50 citations) and Toxicology (46 citations). Dinah Weissmann has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Jean‐François Pujol, Catherine I. Rousset, Michel Maître, Nathalie Ginovart, Laurent Bezin, Didier Le Bars, Alain Plenevaux, André Luxen, Joël J. Aerts and Claude Brihaye. Their work appears in journals such as Brain Research, Neuroscience, Journal of Neurochemistry, Translational Psychiatry and Nuclear Medicine and Biology.

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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