John P. Huelsenbeck

114.4k total citations · 20 hit papers
107 papers, 92.9k citations indexed

About

John P. Huelsenbeck is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, John P. Huelsenbeck has authored 107 papers receiving a total of 92.9k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 70 papers in Genetics and 47 papers in Paleontology. Recurrent topics in John P. Huelsenbeck's work include Genomics and Phylogenetic Studies (68 papers), Genetic diversity and population structure (60 papers) and Evolution and Paleontology Studies (45 papers). John P. Huelsenbeck is often cited by papers focused on Genomics and Phylogenetic Studies (68 papers), Genetic diversity and population structure (60 papers) and Evolution and Paleontology Studies (45 papers). John P. Huelsenbeck collaborates with scholars based in United States, Sweden and Saudi Arabia. John P. Huelsenbeck's co-authors include Fredrik Ronquist, Bret Larget, Marc A. Suchard, Sebastian Höhna, Daniel L. Ayres, Aaron E. Darling, Paul van der Mark, Maxim Teslenko, Liang Liu and Jonathan P. Bollback and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Bioinformatics.

In The Last Decade

John P. Huelsenbeck

107 papers receiving 90.0k citations

Hit Papers

MrBayes 3: Bayesian phylo... 1992 2026 2003 2014 2003 2012 2001 2001 2001 5.0k 10.0k 15.0k 20.0k 25.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MrBayes 3: Bayesian phylogenetic inference under mixed models
    2003 25.4k citations Fredrik Ronquist, John P. Huelsenbeck Bioinformatics profile →
  2. MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
    2012 20.9k citations Fredrik Ronquist, Sebastian Höhna et al. Systematic Biology profile →
  3. MRBAYES: Bayesian inference of phylogenetic trees
    2001 19.3k citations John P. Huelsenbeck, Fredrik Ronquist Bioinformatics profile →
  4. MRBAYES: Bayesian inference of phylogeny
    2001 4.5k citations John P. Huelsenbeck, Fredrik Ronquist Bioinformatics profile →
  5. Bayesian Inference of Phylogeny and Its Impact on Evolutionary Biology
    2001 2.2k citations John P. Huelsenbeck, Fredrik Ronquist et al. Science profile →
  6. Bayesian Phylogenetic Analysis of Combined Data
    2004 1.6k citations Fredrik Ronquist, John P. Huelsenbeck et al. Systematic Biology profile →
  7. Signal, Noise, and Reliability in Molecular Phylogenetic Analyses
    1992 1.2k citations David M. Hillis, John P. Huelsenbeck profile →
  8. Parallel Metropolis coupled Markov chain Monte Carlo for Bayesian phylogenetic inference
    2004 916 citations John P. Huelsenbeck, Fredrik Ronquist et al. Bioinformatics profile →
  9. Phylogeny Estimation and Hypothesis Testing Using Maximum Likelihood
    1997 904 citations John P. Huelsenbeck et al. profile →
  10. Partitioning and Combining Data in Phylogenetic Analysis
    1993 770 citations John P. Huelsenbeck, Cliff Cunningham et al. Systematic Biology profile →
  11. Combining data in phylogenetic analysis
    1996 751 citations John P. Huelsenbeck, J. J. Bull et al. Trends in Ecology & Evolution profile →
  12. Frequentist Properties of Bayesian Posterior Probabilities of Phylogenetic Trees Under Simple and Complex Substitution Models
    2004 743 citations John P. Huelsenbeck, Bruce Rannala Systematic Biology profile →
  13. Stochastic Mapping of Morphological Characters
    2003 722 citations John P. Huelsenbeck, Rasmus Nielsen et al. Systematic Biology profile →
  14. Phylogenetic Methods Come of Age: Testing Hypotheses in an Evolutionary Context
    1997 692 citations John P. Huelsenbeck, Bruce Rannala Science profile →
  15. Potential Applications and Pitfalls of Bayesian Inference of Phylogeny
    2002 683 citations John P. Huelsenbeck, Fredrik Ronquist et al. Systematic Biology profile →
  16. Bayesian Analysis of Biogeography when the Number of Areas is Large
    2013 624 citations Michael J. Landis, John P. Huelsenbeck et al. Systematic Biology profile →
  17. Success of Phylogenetic Methods in the Four-Taxon Case
    1993 609 citations John P. Huelsenbeck, David M. Hillis Systematic Biology profile →
  18. The fossilized birth–death process for coherent calibration of divergence-time estimates
    2014 528 citations Tracy A. Heath, John P. Huelsenbeck et al. Proceedings of the National Academy of Sciences profile →
  19. RevBayes: Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language
    2016 499 citations Sebastian Höhna, Michael J. Landis et al. Systematic Biology profile →
  20. BEAGLE: An Application Programming Interface and High-Performance Computing Library for Statistical Phylogenetics
    2011 461 citations Mark T. Holder, John P. Huelsenbeck et al. Systematic Biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John P. Huelsenbeck United States 65 35.0k 29.2k 25.8k 23.5k 21.4k 107 92.9k
Fredrik Ronquist Sweden 55 29.6k 0.8× 29.7k 1.0× 21.4k 0.8× 22.2k 0.9× 20.1k 0.9× 123 85.8k
Joseph Felsenstein United States 55 44.8k 1.3× 20.8k 0.7× 26.3k 1.0× 24.2k 1.0× 21.9k 1.0× 94 96.4k
Alexei J. Drummond New Zealand 60 21.8k 0.6× 18.9k 0.6× 23.4k 0.9× 15.5k 0.7× 10.5k 0.5× 108 70.3k
Alexandros Stamatakis Germany 53 28.6k 0.8× 15.9k 0.5× 13.6k 0.5× 16.2k 0.7× 15.3k 0.7× 176 63.3k
M Nei United States 47 67.7k 1.9× 16.0k 0.5× 31.5k 1.2× 31.7k 1.4× 42.3k 2.0× 69 152.8k
Koichiro Tamura Japan 34 82.5k 2.4× 23.8k 0.8× 32.5k 1.3× 41.3k 1.8× 60.9k 2.8× 76 206.1k
Marc A. Suchard United States 78 18.9k 0.5× 15.6k 0.5× 17.0k 0.7× 12.6k 0.5× 10.9k 0.5× 300 64.7k
Glen Stecher United States 12 62.4k 1.8× 17.9k 0.6× 22.1k 0.9× 30.8k 1.3× 47.6k 2.2× 14 153.5k
Sudhir Kumar United States 64 92.7k 2.6× 25.4k 0.9× 36.5k 1.4× 43.5k 1.9× 64.6k 3.0× 302 224.1k
David Posada Spain 55 18.9k 0.5× 13.0k 0.4× 18.5k 0.7× 15.4k 0.7× 12.5k 0.6× 164 56.6k

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
1.
Baeshen, Mohammed N., Firoz Ahmed, Tarek A. A. Moussa, et al.. (2021). A COMPARATIVE ANALYSIS OF DE NOVO TRANSCRIPTOME ASSEMBLY TO UNDERSTAND THE ABIOTIC STRESS ADAPTATION OF DESERT PLANTS IN SAUDI ARABIA. Applied Ecology and Environmental Research. 19(3). 1753–1782. 2 indexed citations
2.
Höhna, Sebastian, Michael J. Landis, & John P. Huelsenbeck. (2021). Parallel power posterior analyses for fast computation of marginal likelihoods in phylogenetics. PeerJ. 9. e12438–e12438. 12 indexed citations
3.
Zhang, Chi, John P. Huelsenbeck, & Fredrik Ronquist. (2020). Using Parsimony-Guided Tree Proposals to Accelerate Convergence in Bayesian Phylogenetic Inference. Systematic Biology. 69(5). 1016–1032. 18 indexed citations
4.
Pipes, Lenore, Hongru Wang, John P. Huelsenbeck, & Rasmus Nielsen. (2020). Assessing Uncertainty in the Rooting of the SARS-CoV-2 Phylogeny. Molecular Biology and Evolution. 38(4). 1537–1543. 28 indexed citations
5.
Moussa, Tarek A. A., Firoz Ahmed, Aala A. Abulfaraj, et al.. (2020). DIVERSITY PROFILING OF ASSOCIATED BACTERIA FROM THE SOILS OF STRESS TOLERANT PLANTS FROM SEACOAST OF JEDDAH, SAUDI ARABIA. Applied Ecology and Environmental Research. 18(6). 8217–8231. 6 indexed citations
6.
Heath, Tracy A., Mark T. Holder, & John P. Huelsenbeck. (2011). A Dirichlet Process Prior for Estimating Lineage-Specific Substitution Rates. Molecular Biology and Evolution. 29(3). 939–955. 67 indexed citations
7.
Huelsenbeck, John P., Sonia Jain, Simon D. W. Frost, & Sergei L. Kosakovsky Pond. (2006). A Dirichlet process model for detecting positive selection in protein-coding DNA sequences. Proceedings of the National Academy of Sciences. 103(16). 6263–6268. 67 indexed citations
8.
Glenner, Henrik, et al.. (2005). Bayesian Inference of the Metazoan Phylogeny. Current Biology. 15(4). 392–393. 4 indexed citations
9.
Huelsenbeck, John P. & Kelly A. Dyer. (2004). Bayesian Estimation of Positively Selected Sites. Journal of Molecular Evolution. 58(6). 661–672. 60 indexed citations
10.
Huelsenbeck, John P.. (2002). Testing a Covariotide Model of DNA Substitution. Molecular Biology and Evolution. 19(5). 698–707. 141 indexed citations
11.
Huelsenbeck, John P. & Fredrik Ronquist. (2001). MRBAYES: Bayesian inference of phylogeny. Bioinformatics. 17(17). 754–755. 4506 indexed citations breakdown →
12.
Huelsenbeck, John P. & Jonathan P. Bollback. (2001). Empirical and Hierarchical Bayesian Estimation of Ancestral States. Systematic Biology. 50(3). 351–366. 269 indexed citations
13.
Huelsenbeck, John P. & Bruce Rannala. (1997). Maximum likelihood estimation of phylogeny using stratigraphic data. Paleobiology. 23(2). 174–180. 56 indexed citations
14.
Huelsenbeck, John P.. (1997). Is the Felsenstein Zone a Fly Trap?. Systematic Biology. 46(1). 69–74. 236 indexed citations
15.
Huelsenbeck, John P., Bruce Rannala, & Ziheng Yang. (1997). STATISTICAL TESTS OF HOST-PARASITE COSPECIATION. Evolution. 51(2). 410–419. 93 indexed citations
16.
Huelsenbeck, John P., J. J. Bull, & Cliff Cunningham. (1996). Combining data in phylogenetic analysis. Trends in Ecology & Evolution. 11(4). 152–158. 751 indexed citations breakdown →
17.
Hillis, David M. & John P. Huelsenbeck. (1995). Response : Assessing Molecular Phylogenies. Science. 267(5195). 255–256. 6 indexed citations
18.
Huelsenbeck, John P.. (1994). Comparing the stratigraphic record to estimates of phylogeny. Paleobiology. 20(4). 470–483. 186 indexed citations
19.
Huelsenbeck, John P.. (1991). When are Fossils better than Extant Taxa in Phylogenetic Analysis?. Systematic Zoology. 40(4). 458–458. 132 indexed citations
20.
Russell, Michael P. & John P. Huelsenbeck. (1989). Seasonal variation in brood structure of Transennella confusa (bivalvia: Veneridae). ˜The œVeliger. 32(3). 288–295. 11 indexed citations

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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