Richard V. Pearse

3.1k total citations
33 papers, 2.1k citations indexed

About

Richard V. Pearse is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Richard V. Pearse has authored 33 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Physiology and 6 papers in Neurology. Recurrent topics in Richard V. Pearse's work include Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Developmental Biology and Gene Regulation (6 papers). Richard V. Pearse is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Developmental Biology and Gene Regulation (6 papers). Richard V. Pearse collaborates with scholars based in United States, Canada and Netherlands. Richard V. Pearse's co-authors include Michael G. Rosenfeld, Chia-Ping Chang, Shawn M. O’Connell, Clifford J. Tabin, T Kishimoto, Chung‐Ren Lin, Kyle Vogan, Yuji Yokouchi, Bogi Andersen and Thorsten Heinzel and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Richard V. Pearse

31 papers receiving 2.0k citations

Peers

Richard V. Pearse

EDM

GENET

PHYSI

Paul E. Sawchenko United States

Mariann Blum United States

Kazunari Yuri Japan

Janine Prange‐Kiel Germany

Cécile Viollet France

Lars Fester Germany

Noriyuki Morita Japan

Zsolt Csaba France

Koh Shinoda Japan

Christopher Gregg Canada

Paul E. Sawchenko United States

Richard V. Pearse

426 ×0.4

317 ×0.5

416 ×0.7

EDM

186 ×0.5

GENET

126 ×0.4

PHYSI

Citations per year, relative to Richard V. Pearse Richard V. Pearse (= 1×) peers Paul E. Sawchenko

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-authorship network of co-authors of Richard V. Pearse

This figure shows the co-authorship network connecting the top 25 collaborators of Richard V. Pearse. A scholar is included among the top collaborators of Richard V. Pearse 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 Richard V. Pearse. Richard V. Pearse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lee, Hyo, Richard V. Pearse, Zachary M. Augur, et al.. (2025). Contributions of Genetic Variation in Astrocytes to Cell and Molecular Mechanisms of Risk and Resilience to Late‐Onset Alzheimer's Disease. Glia. 73(6). 1166–1187. 9 indexed citations

Pearse, Richard V., Sarah E. Heuer, Peter R. Galle, et al.. (2025). CLU alleviates Alzheimer’s disease-relevant processes by modulating astrocyte reactivity and microglia-dependent synaptic density. Neuron. 113(12). 1925–1946.e11. 8 indexed citations

Pearse, Richard V., Peter R. Galle, Sarah E. Heuer, et al.. (2025). Astrocyte induction of disease-associated microglia is suppressed by acute exposure to fAD neurons in human iPSC triple cultures. Cell Reports. 44(6). 115777–115777. 2 indexed citations

Zhu, Kuixi, Marc Henrion, Melissa Alamprese, et al.. (2023). Predictive network analysis identifies JMJD6 and other potential key drivers in Alzheimer’s disease. Communications Biology. 6(1). 503–503. 7 indexed citations

Chou, Vicky, Richard V. Pearse, Mariko Taga, et al.. (2023). INPP5D regulates inflammasome activation in human microglia. Nature Communications. 14(1). 7552–7552. 38 indexed citations

Pearse, Richard V., Yi‐Chen Hsieh, Duc M. Duong, et al.. (2022). APP and DYRK1A regulate axonal and synaptic vesicle protein networks and mediate Alzheimer’s pathology in trisomy 21 neurons. Molecular Psychiatry. 27(4). 1970–1989. 23 indexed citations

Yu, Lei, Yi‐Chen Hsieh, Richard V. Pearse, et al.. (2022). Association of AK4 Protein From Stem Cell–Derived Neurons With Cognitive Reserve. Neurology. 99(20). e2264–e2274. 6 indexed citations

Pearse, Richard V., et al.. (2022). Mosaic loss of Chromosome Y in aged human microglia. Genome Research. 32(10). 1795–1807. 20 indexed citations

Liao, Mei-Chen, Richard V. Pearse, Forest M. White, et al.. (2022). RNA-binding protein ELAVL4/HuD ameliorates Alzheimer's disease-related molecular changes in human iPSC-derived neurons. Progress in Neurobiology. 217. 102316–102316. 13 indexed citations

10.

Hsieh, Yi‐Chen, Joseph Negri, Amy He, et al.. (2022). Elevated ganglioside GM2 activator (GM2A) in human brain tissue reduces neurite integrity and spontaneous neuronal activity. Molecular Neurodegeneration. 17(1). 61–61. 7 indexed citations

11.

Pearse, Richard V. & Tracy L. Young‐Pearse. (2019). Lost in translational biology: Understanding sex differences to inform studies of diseases of the nervous system. Brain Research. 1722. 146352–146352. 14 indexed citations

12.

Vardarajan, Badri N., David A. Bennett, Phil De Jager, et al.. (2019). Somatic mosaicism of sex chromosomes in the blood and brain. Brain Research. 1721. 146345–146345. 23 indexed citations

13.

Muratore, Christina, Mei-Chen Liao, Marty A. Fernandez, et al.. (2017). Cell-type Dependent Alzheimer's Disease Phenotypes: Probing the Biology of Selective Neuronal Vulnerability. Stem Cell Reports. 9(6). 1868–1884. 60 indexed citations

14.

Pearse, Richard V., et al.. (2008). Genome‐wide expression analysis of intra‐ and extraarticular connective tissue. Journal of Orthopaedic Research®. 27(4). 427–434. 13 indexed citations

15.

Pearse, Richard V., et al.. (2007). A cellular lineage analysis of the chick limb bud. Developmental Biology. 310(2). 388–400. 64 indexed citations

16.

Pearse, Richard V., Kyle Vogan, & Clifford J. Tabin. (2001). Ptc1 and Ptc2 Transcripts Provide Distinct Readouts of Hedgehog Signaling Activity during Chick Embryogenesis. Developmental Biology. 239(1). 15–29. 75 indexed citations

17.

Pearse, Richard V., Lara S. Collier, Matthew P. Scott, & Clifford J. Tabin. (1999). Vertebrate Homologs of Drosophila Suppressor of Fused Interact with the Gli Family of Transcriptional Regulators. Developmental Biology. 212(2). 323–336. 113 indexed citations

18.

Pearse, Richard V., et al.. (1997). Teure Bräute : Manus, Kunst und Leben auf einer Südsee-Insel. Medical Entomology and Zoology. 1 indexed citations

19.

Andersen, Bogi, Richard V. Pearse, Keith J. Jenné, et al.. (1995). The Ames Dwarf Gene Is Required for Pit-1 Gene Activation. Developmental Biology. 172(2). 495–503. 139 indexed citations

20.

Chang, Chia-Ping, Richard V. Pearse, Shawn M. O’Connell, & Michael G. Rosenfeld. (1993). Identification of a seven transmembrane helix receptor for corticotropin-releasing factor and sauvagine in mammalian brain. Neuron. 11(6). 1187–1195. 458 indexed citations

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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