Michael W. Nachman

16.5k citations
137 papers · 10.7k indexed · 1 hit paper · h-index 63
Topics
Genetic diversity and population structure (53 papers)Genetic Mapping and Diversity in Plants and Animals (40 papers)Genetic and phenotypic traits in livestock (25 papers)

In The Last Decade

Michael W. Nachman

134 papers receiving 10.6k citations

Hit Papers

Estimate of the Mutation Rate per Nucleotide in Humans20002026200820172000250500750

Peers

Michael W. Nachman
Comparison fields: 5 of 153
  • Genetics 6.7k
  • Molecular Biology 3.5k
  • Ecology, Evolution, Behavior and Systematics 2.3k
  • Ecology 1.8k
  • Plant Science 1.4k
Replace William J. Murphy with:
William J. Murphy United States
Oliver A. Ryder United States
Ole Madsen Netherlands
Melissa J. Hubisz United States
Angel Amores United States
Leif Andersson Sweden
Emmanuel Douzery France
Mark S. Springer United States
Chung‐I Wu United States
Richard R. Hudson United States
Michael W. Nachman relative to William J. Murphy United States William J. Murphy's profile →
Citations per field
00.5×1.5×
William J. Murphy · 1×
Citations per year

Countries citing papers authored by Michael W. Nachman

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Nachman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael W. Nachman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Nachman. A scholar is included among the top collaborators of Michael W. Nachman 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 W. Nachman. Michael W. Nachman 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 6
2 5
3 1
4 71
5 20
6 175
7 35
8 71
9 64
10 93
11 248
12 25
13 41
14 197
15 145
16 35
17 187
18 105
19 418
20 97

About Michael W. Nachman

Michael W. Nachman is a scholar working on Genetics, Aging and Ecology, Evolution, Behavior and Systematics, having authored 137 papers that have together received 10.7k indexed citations. Recurring topics across this work include Genetic diversity and population structure (53 papers), Genetic Mapping and Diversity in Plants and Animals (40 papers) and Genetic and phenotypic traits in livestock (25 papers). The work is most often cited by research in Genetics (6.7k citations), Ecology, Evolution, Behavior and Systematics (2.3k citations) and Ecological Modeling (375 citations). Michael W. Nachman has collaborated with scholars based in United States, Portugal and France. Frequent co-authors include Hopi E. Hoekstra, Susan L. Crowell, Bret A. Payseur, Jeffrey M. Good, Matthew D. Dean, Taichi A. Suzuki, Megan Phifer‐Rixey, Charles F. Aquadro, Cynthia Riginos and James G. Krenz. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026