Joseph Felsenstein

115.7k citations
94 papers · 96.4k indexed · 19 hit papers · h-index 55
Topics
Evolution and Genetic Dynamics (33 papers)Genetic diversity and population structure (33 papers)Genomics and Phylogenetic Studies (22 papers)

In The Last Decade

Joseph Felsenstein

94 papers receiving 92.3k citations

Hit Papers

CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE B...19742026199120081985198519811985197510.0k20.0k30.0k

Peers

Joseph Felsenstein
Comparison fields: 5 of 221
  • Molecular Biology 44.8k
  • Genetics 26.3k
  • Ecology 24.2k
  • Plant Science 21.9k
  • Ecology, Evolution, Behavior and Systematics 20.8k
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Joseph Felsenstein relative to M Nei United States M Nei's profile →
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Countries citing papers authored by Joseph Felsenstein

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Joseph Felsenstein

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Felsenstein. A scholar is included among the top collaborators of Joseph Felsenstein 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 Joseph Felsenstein. Joseph Felsenstein 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
1 257
2 1
3
Inferring Species Trees Directly from Biallelic Genetic Markers: Bypassing Gene Trees in a Full Coalescent Analysisbreakdown →
705
4 37
5 254
6 52
7 79
8 15
9 231
10
[24] Inferring phylogenies from protein sequences by parsimony, distance, and likelihood methodsbreakdown →
542
11
A simulation comparison of phylogeny algorithms under equal and unequal evolutionary rates.breakdown →
630
12 223
13 120
14 292
15 32
16 60
17 54
18
CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAPbreakdown →
36940
19 281
20 30

About Joseph Felsenstein

Joseph Felsenstein is a scholar working on Genetics, Paleontology and Developmental Biology, 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) and Genomics and Phylogenetic Studies (22 papers). The work is most often cited by research in Microbiology (1.1k citations), Paleontology (8.1k citations) and Ecology, Evolution, Behavior and Systematics (20.8k citations). Joseph Felsenstein has collaborated with scholars based in United States, Mexico and Germany. Frequent co-authors include Peter Beerli, Mary K. Kuhner, Richard C Lewontin, Jon Yamato, Hirohisa Kishino, Arindam RoyChoudhury, David Bryant, Remco Bouckaert, Noah A. Rosenberg and James F. Crow. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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