Joshua Starmer

4.5k citations
43 papers · 3.1k indexed · 1 hit paper · h-index 28
Topics
Epigenetics and DNA Methylation (9 papers)Genomics and Chromatin Dynamics (9 papers)Genetic Associations and Epidemiology (5 papers)

In The Last Decade

Joshua Starmer

41 papers receiving 3.1k citations

Hit Papers

A multiple testing correction method for genetic associat...20082026201420202008100200300400500

Peers

Joshua Starmer
Comparison fields: 5 of 141
  • Molecular Biology 1.7k
  • Genetics 1.2k
  • Immunology 359
  • Cancer Research 356
  • Plant Science 331
Replace Jeffrey G. Reid with:
Jeffrey G. Reid United States
Colum P. Walsh United Kingdom
Anja Thormann United Kingdom
Donald F. Conrad United States
Matthew S. Forrest United Kingdom
Masami Hayashi Japan
Stéphane Fabre France
Andrew Kirby United States
Lee Edsall United States
Joshua Starmer relative to Jeffrey G. Reid United States Jeffrey G. Reid's profile →
Citations per field
00.5×1.5×
Jeffrey G. Reid · 1×
Citations per year

Countries citing papers authored by Joshua Starmer

Since Specialization
Citations

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

Fields of papers citing papers by Joshua Starmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Starmer

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Starmer. A scholar is included among the top collaborators of Joshua Starmer 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 Joshua Starmer. Joshua Starmer 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
1 105
2 35
3 10
4 31
5 66
6 65
7 38
8 37
9 122
10 66
11 135
12 12
13 230
14 19
15 82
16 18
17 152
18 240
19
A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphismsbreakdown →
539
20 55

About Joshua Starmer

Joshua Starmer is a scholar working on Genetics, Molecular Biology and Immunology, having authored 43 papers that have together received 3.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (9 papers), Genomics and Chromatin Dynamics (9 papers) and Genetic Associations and Epidemiology (5 papers). The work is most often cited by research in Genetics (1.2k citations), Molecular Biology (1.7k citations) and Cancer Research (356 citations). Joshua Starmer has collaborated with scholars based in United States, Taiwan and Türkiye. Frequent co-authors include Xiaoyi Gao, Terry Magnuson, Eden R. Martin, Della Yee, J. Mauro Calabrese, Michael A. Province, Lewis C. Becker, Diane M. Becker, Karl B. Shpargel and Yoichiro Shibata. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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