P. Jeremy Wang

4.7k citations
54 papers · 3.4k indexed · 2 hit papers · h-index 27
Topics
DNA Repair Mechanisms (20 papers)CRISPR and Genetic Engineering (16 papers)Chromosomal and Genetic Variations (13 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

P. Jeremy Wang

54 papers receiving 3.3k citations

Hit Papers

An abundance of X-linked genes expressed in spermatogonia200120262009201720012018200400600

Peers

P. Jeremy Wang
Comparison fields: 5 of 101
  • Molecular Biology 2.6k
  • Genetics 1.1k
  • Reproductive Medicine 669
  • Plant Science 586
  • Public Health, Environmental and Occupational Health 508
Replace Satoshi H. Namekawa with:
Satoshi H. Namekawa United States
Shantha K. Mahadevaiah United Kingdom
Willy M. Baarends Netherlands
Peter Romanienko United States
Shinichiro Chuma Japan
Frédéric Baudat France
Yukihiro Yabuta Japan
Ian R. Adams United Kingdom
Shuiqiao Yuan China
Sandrine Caburet France
P. Jeremy Wang relative to Satoshi H. Namekawa United States Satoshi H. Namekawa's profile →
Citations per field
00.5×1.5×
Satoshi H. Namekawa · 1×
Citations per year

Countries citing papers authored by P. Jeremy Wang

Since Specialization
Citations

This map shows the geographic impact of P. 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 P. 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 P. Jeremy Wang more than expected).

Fields of papers citing papers by P. Jeremy Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Jeremy Wang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 4
5 11
6 31
7 12
8 34
9 15
10 82
11 63
12 76
13 10
14 94
15 12
16 77
17 13
18 169
19 16
20
An abundance of X-linked genes expressed in spermatogoniabreakdown →
637

About P. Jeremy Wang

P. Jeremy Wang is a scholar working on Reproductive Medicine, Molecular Biology and Genetics, having authored 54 papers that have together received 3.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (20 papers), CRISPR and Genetic Engineering (16 papers) and Chromosomal and Genetic Variations (13 papers). The work is most often cited by research in Reproductive Medicine (669 citations), Genetics (1.1k citations) and Molecular Biology (2.6k citations). P. Jeremy Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include David C. Page, Fengtang Yang, John R. McCarrey, N. Adrian Leu, Yang Xu, Ke Zheng, Seth D. Kasowitz, Richard M. Schultz, Brian D. Gregory and Jun Ma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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