John P. Huelsenbeck

114.4k citations
107 papers · 92.9k indexed · 20 hit papers · h-index 65
Topics
Genomics and Phylogenetic Studies (68 papers)Genetic diversity and population structure (60 papers)Evolution and Paleontology Studies (45 papers)

In The Last Decade

John P. Huelsenbeck

107 papers receiving 90.0k citations

Hit Papers

MrBayes 3: Bayesian phylogenetic inference under mixed mo...1992202620032014200320122001200120015.0k10.0k15.0k20.0k25.0k

Peers

John P. Huelsenbeck
Comparison fields: 5 of 204
  • Molecular Biology 35.0k
  • Ecology, Evolution, Behavior and Systematics 29.2k
  • Genetics 25.8k
  • Ecology 23.5k
  • Plant Science 21.4k
Replace Fredrik Ronquist with:
Fredrik Ronquist Sweden
Joseph Felsenstein United States
Alexei J. Drummond New Zealand
Sudhir Kumar United States
Koichiro Tamura Japan
Marc A. Suchard United States
Alexandros Stamatakis Germany
M Nei United States
Keith A. Crandall United States
David Posada Spain
John P. Huelsenbeck relative to Fredrik Ronquist Sweden Fredrik Ronquist's profile →
Citations per field
00.5×1.5×
Fredrik Ronquist · 1×
Citations per year

Countries citing papers authored by John P. Huelsenbeck

Since Specialization
Citations

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

Fields of papers citing papers by John P. Huelsenbeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Huelsenbeck. 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 John P. Huelsenbeck. The network helps show where John P. Huelsenbeck may publish in the future.

Co-authorship network of co-authors of John P. Huelsenbeck

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Huelsenbeck. A scholar is included among the top collaborators of John P. Huelsenbeck 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 John P. Huelsenbeck. John P. Huelsenbeck 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 2
2 28
3 18
4 6
5 67
6 4
7 60
8
Stochastic Mapping of Morphological Charactersbreakdown →
722
9 141
10 113
11
MRBAYES: Bayesian inference of phylogenybreakdown →
4506
12 69
13 39
14 203
15 236
16 93
17 56
18
Combining data in phylogenetic analysisbreakdown →
751
19 186
20
Seasonal variation in brood structure of Transennella confusa (bivalvia: Veneridae)
11

About John P. Huelsenbeck

John P. Huelsenbeck is a scholar working on Paleontology, Genetics and Molecular Biology, having authored 107 papers that have together received 92.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (68 papers), Genetic diversity and population structure (60 papers) and Evolution and Paleontology Studies (45 papers). The work is most often cited by research in Paleontology (11.3k citations), Ecology, Evolution, Behavior and Systematics (29.2k citations) and Ecological Modeling (4.2k citations). John P. Huelsenbeck has collaborated with scholars based in United States, Sweden and Saudi Arabia. Frequent co-authors include Fredrik Ronquist, Bret Larget, Marc A. Suchard, Sebastian Höhna, Daniel L. Ayres, Aaron E. Darling, Paul van der Mark, Liang Liu, Maxim Teslenko and Jonathan P. Bollback. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Bioinformatics.

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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