Joseph Felsenstein
Impact in
- Microbiology top 0.01%
- Paleontology top 0.01%
- Evolution and Paleontology Studies
Papers in
- Genetics 59
- Evolution and Genetic Dynamics 33
- Genetic diversity and population structure 33
- Genetic Mapping and Diversity in Plants and Animals 11
- Genetic and phenotypic traits in livestock 9
-
- Genomics and Phylogenetic Studies 22
- Co-authors
- Peter Beerli (3 shared papers)Mary K. Kuhner (5 shared papers)Richard C Lewontin (1 shared paper)Jon Yamato (3 shared papers)Hirohisa Kishino (3 shared papers)Arindam RoyChoudhury (2 shared papers)Remco Bouckaert (1 shared paper)David Bryant (1 shared paper)
- Journals
- Evolution (16 papers)Genetics (12 papers)The American Naturalist (9 papers)Systematic Biology (8 papers)Journal of Molecular Evolution (5 papers)
- Partner nations
- United StatesTaiwanMexico
In The Last Decade
Joseph Felsenstein
94 papers receiving 92.3k citations
Joseph Felsenstein's Hit Papers
Peers
Comparison fields: 5 of 221
- Microbiology 1.1k
- Paleontology 8.1k
- Ecology, Evolution, Behavior and Systematics 20.8k
- Ecology 24.2k
- Genetics 26.3k
Countries citing papers authored by Joseph Felsenstein
This map shows the geographic impact of Joseph Felsenstein'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 Joseph Felsenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Felsenstein more than expected).
Fields of papers citing papers by Joseph Felsenstein
This network shows the impact of papers produced by Joseph Felsenstein. 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 Joseph Felsenstein. The network helps show where Joseph Felsenstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph Felsenstein, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP Hit paper breakdown → | 1985 | 36940 |
| 2 | Confidence Limits on Phylogenies: An Approach Using the Bootstrap Hit paper breakdown → | 1985 | 16605 |
| 3 | Evolutionary trees from DNA sequences: A maximum likelihood approach Hit paper breakdown → | 1981 | 12022 |
| 4 | Phylogenies and the Comparative Method Hit paper breakdown → | 1985 | 7952 |
| 5 | THE GENETIC BASIS OF EVOLUTIONARY CHANGE Hit paper breakdown → | 1975 | 2572 |
| 6 | Cases in which Parsimony or Compatibility Methods Will be Positively Misleading Hit paper breakdown → | 1978 | 1851 |
| 7 | PHYLOGENIES FROM MOLECULAR SEQUENCES: INFERENCE AND RELIABILITY Hit paper breakdown → | 1988 | 1784 |
| 8 | Maximum likelihood estimation of a migration matrix and effective population sizes innsubpopulations by using a coalescent approach Hit paper breakdown → | 2001 | 1473 |
| 9 | THE EVOLUTIONARY ADVANTAGE OF RECOMBINATION Hit paper breakdown → | 1974 | 1249 |
| 10 | The Genetic Basis of Evolutionary Change. Hit paper breakdown → | 1975 | 960 |
| 11 | Maximum-Likelihood Estimation of Migration Rates and Effective Population Numbers in Two Populations Using a Coalescent Approach Hit paper breakdown → | 1999 | 854 |
| 12 | SKEPTICISM TOWARDS SANTA ROSALIA, OR WHY ARE THERE SO FEW KINDS OF ANIMALS? Hit paper breakdown → | 1981 | 747 |
| 13 | Inferring Species Trees Directly from Biallelic Genetic Markers: Bypassing Gene Trees in a Full Coalescent Analysis Hit paper breakdown → | 2012 | 705 |
| 14 | A simulation comparison of phylogeny algorithms under equal and unequal evolutionary rates. Hit paper breakdown → | 1994 | 630 |
| 15 | PHYLOGENIES AND QUANTITATIVE CHARACTERS Hit paper breakdown → | 1988 | 628 |
| 16 | THE THEORETICAL POPULATION GENETICS OF VARIABLE SELECTION AND MIGRATION Hit paper breakdown → | 1976 | 570 |
| 17 | [24] Inferring phylogenies from protein sequences by parsimony, distance, and likelihood methods Hit paper breakdown → | 1996 | 542 |
| 18 | Maximum Likelihood Estimation of Population Growth Rates Based on the Coalescent Hit paper breakdown → | 1998 | 525 |
| 19 | Numerical Methods for Inferring Evolutionary Trees Hit paper breakdown → | 1982 | 506 |
| 20 | 1984 | 426 |
About Joseph Felsenstein
Joseph Felsenstein is a scholar working on Genetics, Molecular Biology, Plant Science, Artificial Intelligence and Ecology, Evolution, Behavior and Systematics, having authored 94 papers that have together received 96.4k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (33 papers), Genetic diversity and population structure (33 papers), Genomics and Phylogenetic Studies (22 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetic and phenotypic traits in livestock (9 papers), Chromosomal and Genetic Variations (8 papers), Plant and animal studies (8 papers) and Evolution and Paleontology Studies (7 papers). The work is most often cited by research in Microbiology (1.1k citations), Paleontology (8.1k citations), Ecology, Evolution, Behavior and Systematics (20.8k citations), Ecology (24.2k citations) and Genetics (26.3k citations). Joseph Felsenstein has collaborated with scholars based in United States, Taiwan and Mexico. Frequent co-authors include Peter Beerli, Mary K. Kuhner, Richard C Lewontin, Jon Yamato, Hirohisa Kishino, Arindam RoyChoudhury, Remco Bouckaert, David Bryant, Noah A. Rosenberg and James F. Crow. Their work appears in journals such as Evolution, Genetics, The American Naturalist, Systematic Biology and Journal of Molecular Evolution.
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.