Jeremy Wang

4.4k citations
60 papers · 1.9k indexed · h-index 22

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Genetics top 5%
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic diversity and population structure
    • Genetic and phenotypic traits in livestock

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 8
    • Genetic diversity and population structure 6

Jeremy Wang

57 papers receiving 1.9k citations

Peers

Jeremy Wang
Comparison fields: 5 of 135
  • Developmental Neuroscience 110
  • Genetics 566
  • Molecular Biology 820
  • Immunology 227
  • Aging 17
Replace John J. Flanagan with:
John J. Flanagan United States
Elizabeth H. Byrne United States
Roland A. Fleck United Kingdom
Christophe Le Clainche France
Sara Salinas France
James Chambers Japan
Álvaro H. Crevenna Germany
Hiroshi Sagara Japan
Michael Oglesbee United States
Louise P. Cramer United Kingdom
Jeremy Wang relative to John J. Flanagan United States John J. Flanagan's profile →
Citations per field
00.5×1.6×
John J. Flanagan · 1×
Citations per year

Countries citing papers authored by Jeremy Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20251
3 20241
4 202410
5 20238
6 20233
7 202321
8 20236
9 20218
10 202025
11 202017
12 20208
13 202077
14 201885
15 201716
16 2015102
17 201335
18 20070
19 2002129
20 199453

About Jeremy Wang

Jeremy Wang is a scholar working on Genetics, Endocrinology, Molecular Biology, Hepatology and Developmental Neuroscience, having authored 60 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Genetic diversity and population structure (6 papers), Chromosomal and Genetic Variations (6 papers), Gut microbiota and health (4 papers), Semiconductor materials and interfaces (3 papers), RNA modifications and cancer (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Developmental Neuroscience (110 citations), Genetics (566 citations), Molecular Biology (820 citations), Immunology (227 citations) and Aging (17 citations). Jeremy Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Leonard McMillan, Corbin D. Jones, Catherine E. Welsh, Fernando Pardo‐Manuel de Villena, Fernando Pardo-Manuel de Villena, Minoru Satoh, Gary A. Churchill, Westley H. Reeves, James Holt and John P. Didion. Their work appears in journals such as Ceramics International, Proceedings of the National Academy of Sciences, BMC Bioinformatics, Molecular Biology and Evolution and PLoS Genetics.

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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