John Bunge

4.8k total citations · 1 hit paper
39 papers, 3.3k citations indexed

About

John Bunge is a scholar working on Ecology, Molecular Biology and Statistics and Probability. According to data from OpenAlex, John Bunge has authored 39 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 19 papers in Molecular Biology and 12 papers in Statistics and Probability. Recurrent topics in John Bunge's work include Microbial Community Ecology and Physiology (16 papers), Protist diversity and phylogeny (13 papers) and Census and Population Estimation (12 papers). John Bunge is often cited by papers focused on Microbial Community Ecology and Physiology (16 papers), Protist diversity and phylogeny (13 papers) and Census and Population Estimation (12 papers). John Bunge collaborates with scholars based in United States, Germany and South Korea. John Bunge's co-authors include Matthew C. Fitzpatrick, Anne Chao, Thorsten Stoeck, Sunok Jeon, Slava S. Epstein, Chesley Leslin, Sun Hee Hong, Amy D. Willis, Anke Behnke and Kathryn Barger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

John Bunge

39 papers receiving 3.2k citations

Hit Papers

Estimating the Number of Species: A Review 1993 2026 2004 2015 1993 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Bunge United States 26 1.9k 1.6k 343 333 287 39 3.3k
Paul Joyce Australia 35 1.2k 0.6× 1.9k 1.2× 50 0.1× 174 0.5× 288 1.0× 163 5.7k
Amaury Lambert France 27 1.5k 0.8× 1.1k 0.7× 645 1.9× 132 0.4× 694 2.4× 102 4.6k
Shen‐Ming Lee Taiwan 12 736 0.4× 337 0.2× 94 0.3× 371 1.1× 336 1.2× 40 1.8k
Nicolas Ray Switzerland 37 1.5k 0.8× 682 0.4× 165 0.5× 72 0.2× 655 2.3× 147 5.9k
Tsung‐Jen Shen Taiwan 12 1.2k 0.6× 470 0.3× 204 0.6× 58 0.2× 1.1k 3.7× 37 3.1k
Jean Thioulouse France 43 2.5k 1.3× 2.0k 1.3× 353 1.0× 76 0.2× 1.4k 5.0× 113 8.2k
Uwe Ligges Germany 12 758 0.4× 215 0.1× 66 0.2× 430 1.3× 545 1.9× 41 3.2k
Daniel W. Schafer United States 22 458 0.2× 507 0.3× 41 0.1× 529 1.6× 280 1.0× 42 2.5k
Paul O. Lewis United States 32 1.5k 0.8× 3.3k 2.1× 513 1.5× 69 0.2× 1.1k 3.7× 63 8.4k
Tim J. Daniell United Kingdom 41 1.3k 0.7× 608 0.4× 130 0.4× 108 0.3× 521 1.8× 107 5.7k

Countries citing papers authored by John Bunge

Since Specialization
Citations

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

Fields of papers citing papers by John Bunge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Bunge

This figure shows the co-authorship network connecting the top 25 collaborators of John Bunge. A scholar is included among the top collaborators of John Bunge 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 Bunge. John Bunge 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.
Exner‐Cortens, Deinera, John Eckenrode, John Bunge, & Emily F. Rothman. (2017). Revictimization After Adolescent Dating Violence in a Matched, National Sample of Youth. Journal of Adolescent Health. 60(2). 176–183. 80 indexed citations
2.
Willis, Amy D. & John Bunge. (2015). Estimating Diversity via Frequency Ratios. Biometrics. 71(4). 1042–1049. 122 indexed citations
3.
Willis, Amy D. & John Bunge. (2014). breakaway-package Species richness estimation and modelling in the high-diversity setting. 1 indexed citations
4.
Allen, Heather K., John Bunge, James A. Foster, Darrell O. Bayles, & Thaddeus B. Stanton. (2013). Estimation of viral richness from shotgun metagenomes using a frequency count approach. Microbiome. 1(1). 5–5. 23 indexed citations
5.
Bunge, John, Amy D. Willis, & Fiona Walsh. (2013). Estimating the Number of Species in Microbial Diversity Studies. Annual Review of Statistics and Its Application. 1(1). 427–445. 58 indexed citations
6.
Foster, James A., John Bunge, Jack A. Gilbert, & Jason H. Moore. (2012). Measuring the microbiome: perspectives on advances in DNA-based techniques for exploring microbial life. Briefings in Bioinformatics. 13(4). 420–429. 25 indexed citations
7.
Behnke, Anke, Kathryn Barger, John Bunge, & Thorsten Stoeck. (2010). Spatio-temporal variations in protistan communities along an O2/H2S gradient in the anoxic Framvaren Fjord (Norway). FEMS Microbiology Ecology. 72(1). 89–102. 66 indexed citations
8.
Bunge, John. (2010). ESTIMATING THE NUMBER OF SPECIES WITH CATCHALL. WORLD SCIENTIFIC eBooks. 121–130. 59 indexed citations
9.
Bunge, John, Philippe Chouvarine, & Daniel G. Peterson. (2009). CotQuest: Improved algorithm and software for nonlinear regression analysis of DNA reassociation kinetics data. Analytical Biochemistry. 388(2). 322–330. 3 indexed citations
10.
Bunge, John & Kathryn Barger. (2008). Parametric Models for Estimating the Number of Classes. Biometrical Journal. 50(6). 971–982. 26 indexed citations
11.
Edgcomb, Virginia P., William Orsi, Chesley Leslin, et al.. (2008). Protistan community patterns within the brine and halocline of deep hypersaline anoxic basins in the eastern Mediterranean Sea. Extremophiles. 13(1). 151–167. 73 indexed citations
12.
Barger, Kathryn & John Bunge. (2008). Bayesian Estimation of the Number of Species using Noninformative Priors. Biometrical Journal. 50(6). 1064–1076. 7 indexed citations
13.
Alexander, Eva, Alexandra Stock, Hans‐Werner Breiner, et al.. (2008). Microbial eukaryotes in the hypersaline anoxic L'Atalante deep‐sea basin. Environmental Microbiology. 11(2). 360–381. 122 indexed citations
14.
Jeon, Sunok, John Bunge, Chesley Leslin, et al.. (2008). Environmental rRNA inventories miss over half of protistan diversity. BMC Microbiology. 8(1). 222–222. 43 indexed citations
15.
Stoeck, Thorsten, et al.. (2007). Protistan Diversity in the Arctic: A Case of Paleoclimate Shaping Modern Biodiversity?. PLoS ONE. 2(8). e728–e728. 66 indexed citations
16.
Bunge, John, et al.. (2006). Diversity estimates of microeukaryotes below the chemocline of the anoxic Mariager Fjord, Denmark. FEMS Microbiology Ecology. 58(3). 476–491. 86 indexed citations
17.
Hong, Sun Hee, John Bunge, Sunok Jeon, & Slava S. Epstein. (2005). Predicting microbial species richness. Proceedings of the National Academy of Sciences. 103(1). 117–122. 167 indexed citations
18.
Chao, Anne & John Bunge. (2002). Estimating the Number of Species in a Stochastic Abundance Model. Biometrics. 58(3). 531–539. 454 indexed citations
19.
Bunge, John, Matthew C. Fitzpatrick, & John C. Handley. (1995). Comparison of three estimators of the number of species. Journal of Applied Statistics. 22(1). 45–59. 19 indexed citations
20.
Browne, Sid & John Bunge. (1995). Random record processes and state dependent thinning. Stochastic Processes and their Applications. 55(1). 131–142. 2 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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