M Nei
Impact in
- Microbiology top 0.02%
- Ecology top 0.01%
- Microbial Community Ecology and Physiology
Papers in
-
- Genomics and Phylogenetic Studies 29
- RNA and protein synthesis mechanisms 10
- Genetics 39
- Genetic diversity and population structure 27
- Evolution and Genetic Dynamics 17
- Co-authors
- Naruya Saitou (3 shared papers)Koichiro Tamura (5 shared papers)Sudhir Kumar (5 shared papers)Joel T. Dudley (2 shared papers)Glen Stecher (1 shared paper)Daniel G. Peterson (1 shared paper)Wen‐Hsiung Li (2 shared papers)Pekka Pamilo (1 shared paper)
- Journals
- Molecular Biology and Evolution (39 papers)Proceedings of the National Academy of Sciences (6 papers)Genetics (5 papers)Annals of Human Genetics (2 papers)Heredity (1 paper)
- Partner nations
- United StatesJapanSpain
In The Last Decade
M Nei
69 papers receiving 146.8k citations
M Nei's Hit Papers
Peers
Comparison fields: 5 of 226
- Microbiology 1.0k
- Ecology 31.7k
- Plant Science 42.3k
- Genetics 31.5k
- Molecular Biology 67.7k
Countries citing papers authored by M Nei
This map shows the geographic impact of M Nei'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 M Nei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Nei more than expected).
Fields of papers citing papers by M Nei
This network shows the impact of papers produced by M Nei. 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 M Nei. The network helps show where M Nei may publish in the future.
Co-authors
The 25 scholars most cited alongside M Nei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The neighbor-joining method: a new method for reconstructing phylogenetic trees. Hit paper breakdown → | 1987 | 52445 |
| 2 | MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods Hit paper breakdown → | 2011 | 35449 |
| 3 | MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0 Hit paper breakdown → | 2007 | 25931 |
| 4 | Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. Hit paper breakdown → | 1993 | 9396 |
| 5 | Mathematical model for studying genetic variation in terms of restriction endonucleases. Hit paper breakdown → | 1979 | 8782 |
| 6 | Simple methods for estimating the numbers of synonymous and nonsynonymous nucleotide substitutions. Hit paper breakdown → | 1986 | 4220 |
| 7 | MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences Hit paper breakdown → | 2008 | 2981 |
| 8 | Relationships between gene trees and species trees. Hit paper breakdown → | 1988 | 1288 |
| 9 | Evolution of genes and proteins. Hit paper breakdown → | 1983 | 1049 |
| 10 | MEGA: Molecular Evolutionary Genetics Analysis, Version 1.02. Hit paper breakdown → | 1995 | 907 |
| 11 | Estimation of evolutionary distance between nucleotide sequences. Hit paper breakdown → | 1984 | 825 |
| 12 | Estimation of fixation indices and gene diversities Hit paper breakdown → | 1983 | 795 |
| 13 | Nucleotide substitution at major histocompatibility complex class II loci: evidence for overdominant selection. Hit paper breakdown → | 1989 | 755 |
| 14 | Phylogenetic test of the molecular clock and linearized trees. Hit paper breakdown → | 1995 | 693 |
| 15 | A new method of inference of ancestral nucleotide and amino acid sequences. Hit paper breakdown → | 1995 | 550 |
| 16 | Allelic genealogy under overdominant and frequency-dependent selection and polymorphism of major histocompatibility complex loci. Hit paper breakdown → | 1990 | 537 |
| 17 | Theoretical foundation of the minimum-evolution method of phylogenetic inference. Hit paper breakdown → | 1993 | 523 |
| 18 | Molecular phylogeny and divergence times of drosophilid species. Hit paper breakdown → | 1995 | 483 |
| 19 | 1990 | 308 | |
| 20 | 1990 | 302 |
About M Nei
M Nei is a scholar working on Molecular Biology, Genetics, Immunology, Plant Science and Paleontology, having authored 69 papers that have together received 152.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (29 papers), Genetic diversity and population structure (27 papers), Evolution and Genetic Dynamics (17 papers), RNA and protein synthesis mechanisms (10 papers), T-cell and B-cell Immunology (9 papers), Chromosomal and Genetic Variations (6 papers), Immunotherapy and Immune Responses (5 papers) and Evolution and Paleontology Studies (5 papers). The work is most often cited by research in Microbiology (1.0k citations), Ecology (31.7k citations), Plant Science (42.3k citations), Genetics (31.5k citations) and Molecular Biology (67.7k citations). M Nei has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Naruya Saitou, Koichiro Tamura, Sudhir Kumar, Joel T. Dudley, Glen Stecher, Daniel G. Peterson, Wen‐Hsiung Li, Pekka Pamilo, Andrey Rzhetsky and Naoko Takezaki. Their work appears in journals such as Molecular Biology and Evolution, Proceedings of the National Academy of Sciences, Genetics, Annals of Human Genetics and Heredity.
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.