Michael M. Desai

10.6k citations
80 papers · 5.6k indexed · 4 hit papers · h-index 38
Topics
Evolution and Genetic Dynamics (63 papers)Evolutionary Game Theory and Cooperation (33 papers)Genetic diversity and population structure (27 papers)

In The Last Decade

Michael M. Desai

78 papers receiving 5.6k citations

Hit Papers

Inexpensive Multiplexed Library Preparation for Megabase-...20132026201720212015201720132014100200300400

Peers

Michael M. Desai
Comparison fields: 5 of 139
  • Genetics 3.9k
  • Molecular Biology 2.9k
  • Sociology and Political Science 1.4k
  • Public Health, Environmental and Occupational Health 654
  • Plant Science 630
Replace J. Arjan G. M. de Visser with:
J. Arjan G. M. de Visser Netherlands
Philip J. Gerrish United States
Paul Sniegowski United States
Rees Kassen Canada
Isabel Gordo Portugal
Daniel E. Rozen Netherlands
Dominique Schneider France
Rafael Sanjuán Spain
Lin Chao United States
Tim F. Cooper United States
Michael M. Desai relative to J. Arjan G. M. de Visser Netherlands J. Arjan G. M. de Visser's profile →
Citations per field
00.5×2.8×
J. Arjan G. M. de Visser · 1×
Citations per year

Countries citing papers authored by Michael M. Desai

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Desai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael M. Desai. 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 Michael M. Desai. The network helps show where Michael M. Desai may publish in the future.

Co-authorship network of co-authors of Michael M. Desai

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Desai. A scholar is included among the top collaborators of Michael M. Desai 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 Michael M. Desai. Michael M. Desai 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 0
2 7
3 2
4 6
5 5
6 8
7 39
8 7
9 14
10 58
11 164
12 70
13 34
14 24
15 86
16 47
17
Global epistasis makes adaptation predictable despite sequence-level stochasticitybreakdown →
291
18 87
19 40
20 225

About Michael M. Desai

Michael M. Desai is a scholar working on Genetics, Sociology and Political Science and Aging, having authored 80 papers that have together received 5.6k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (63 papers), Evolutionary Game Theory and Cooperation (33 papers) and Genetic diversity and population structure (27 papers). The work is most often cited by research in Genetics (3.9k citations), Molecular Biology (2.9k citations) and Molecular Medicine (199 citations). Michael M. Desai has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Daniel S. Fisher, Benjamin H. Good, Daniel P. Rice, Sergey Kryazhimskiy, Michael J. McDonald, Elizabeth R. Jerison, David Botstein, Gregory I. Lang, Andrew W. Murray and Ivana Cvijović. Their work appears in journals such as Nature, Science 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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