Jonathan Pevsner

14.9k citations
120 papers · 9.6k indexed · 3 hit papers · h-index 50

Jonathan Pevsner

118 papers receiving 9.4k citations

Hit Papers

Sturge–Weber Syndrome and Port-Win...6411994202620042015200400600

Peers

Jonathan Pevsner
Comparison fields: 5 of 158
  • Sensory Systems 637
  • Cell Biology 1.9k
  • Genetics 2.2k
  • Cellular and Molecular Neuroscience 1.4k
  • Molecular Biology 5.2k
Replace Alexander Pfeifer with:
Alexander Pfeifer Germany
G. Stanley McKnight United States
Muriel T. Davisson United States
Robert Feil Germany
Hisatake Kondo Japan
Zhen Zhao United States
Howard J. Federoff United States
C. Geoffrey Woods United Kingdom
Bé Wieringa Netherlands
Oliver Kretz Germany
Jonathan Pevsner relative to Alexander Pfeifer Germany Alexander Pfeifer's profile →
Citations per field
00.5×1.5×2.3×
Alexander Pfeifer · 1×
Citations per year

Countries citing papers authored by Jonathan Pevsner

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Pevsner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201837
2 20189
3 201729
4 201630
5 20165
6 201613
7 201453
8 201165
9
Leonardo da Vinci, neurocientífico
20051
10 2004122
11 2004256
12 200361
13 200256
14 200114
15 200196
16 2000111
17 200030
18 199944
19 1997186
20 199432

About Jonathan Pevsner

Jonathan Pevsner is a scholar working on Sensory Systems, Genetics, Biological Psychiatry, Cell Biology and Molecular Biology, having authored 120 papers that have together received 9.6k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (22 papers), Cellular transport and secretion (16 papers), Gene expression and cancer classification (15 papers), Genetics and Neurodevelopmental Disorders (15 papers), Olfactory and Sensory Function Studies (11 papers), Biochemical Analysis and Sensing Techniques (9 papers), Autism Spectrum Disorder Research (8 papers) and Genetic Associations and Epidemiology (8 papers). The work is most often cited by research in Sensory Systems (637 citations), Cell Biology (1.9k citations), Genetics (2.2k citations), Cellular and Molecular Neuroscience (1.4k citations) and Molecular Biology (5.2k citations). Jonathan Pevsner has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Solomon H. Snyder, Richard H. Scheller, Vincent W. Yang, Duyen T. Dang, Laurence P. Frelin, Mary E. Blue, Paul A. Watkins, Christopher M. L. S. Bouton, Shu-Chan Hsu and Joseph D. Baugher. Their work appears in journals such as Journal of Biological Chemistry, Bioinformatics, Proceedings of the National Academy of Sciences, Pediatric Neurology and PLoS ONE.

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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