Richard V. Pearse

3.1k citations
33 papers · 2.1k · h-index 18

Impact in

Papers in

    • Developmental Biology and Gene Regulation 6
    • Epigenetics and DNA Methylation 5
    • Hedgehog Signaling Pathway Studies 3
    • Alzheimer's disease research and treatments 7

Richard V. Pearse

31 papers receiving 2.0k citations

Peers

Richard V. Pearse
Comparison fields: 5 of 101
  • Behavioral Neuroscience 651
  • Biological Psychiatry 143
  • Endocrinology, Diabetes and Metabolism 556
  • Aging 38
  • Developmental Biology 35
Replace Jacqueline E. Lee with:
Jacqueline E. Lee United States
Janine Prange‐Kiel Germany
Lars Fester Germany
Kazunari Yuri Japan
Koh Shinoda Japan
Paul E. Sawchenko United States
Zsolt Csaba France
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Chengji J. Zhou United States
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Citations per field
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Citations per year

Countries citing papers authored by Richard V. Pearse

Since Specialization
Citations

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

Fields of papers citing papers by Richard V. Pearse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard V. Pearse. 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 Richard V. Pearse. The network helps show where Richard V. Pearse may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993458
2 1995335
3 1995254
4 1999152
5 1995139
6 1999113
7 200175
8 200764
9 201760
10 199752
11 199351
12 199849
13 199344
14 202338
15 202223
16 201923
17 202220
18 201820
19 201914
20 202213

About Richard V. Pearse

Richard V. Pearse is a scholar working on Molecular Biology, Physiology, Neurology, Genetics and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Developmental Biology and Gene Regulation (6 papers), Epigenetics and DNA Methylation (5 papers), Genetics and Neurodevelopmental Disorders (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Tendon Structure and Treatment (2 papers). The work is most often cited by research in Behavioral Neuroscience (651 citations), Biological Psychiatry (143 citations), Endocrinology, Diabetes and Metabolism (556 citations), Aging (38 citations) and Developmental Biology (35 citations). Richard V. Pearse has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Michael G. Rosenfeld, Shawn M. O’Connell, Chia-Ping Chang, Clifford J. Tabin, T Kishimoto, Chung‐Ren Lin, Kyle Vogan, Yuji Yokouchi, Bogi Andersen and M G Rosenfeld. Their work appears in journals such as Developmental Biology, Proceedings of the National Academy of Sciences, Brain Research, Neuron and Alzheimer s & Dementia.

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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