Sean Nee

13.6k citations
94 papers · 9.9k indexed · 3 hit papers · h-index 44

Sean Nee

92 papers receiving 9.4k citations

Hit Papers

Quantifying the roles of immigration and chance in s...1.3k19912026200220144008001.2k

Peers

Sean Nee
Comparison fields: 5 of 168
  • Paleontology 1.9k
  • Ecology, Evolution, Behavior and Systematics 3.3k
  • Nature and Landscape Conservation 2.0k
  • Ecological Modeling 617
  • Genetics 3.6k
Replace Peter Beerli with:
Peter Beerli United States
Hirohisa Kishino Japan
Daniel R. Brooks Canada
James J. Bull United States
Sarah P. Otto Canada
Steven M. Goodman United States
Olga Chernomor Austria
François Balloux United Kingdom
Robert C. Fleischer United States
Matthew J. Phillips Australia
Sean Nee relative to Peter Beerli United States Peter Beerli's profile →
Citations per field
00.5×2.8×
Peter Beerli · 1×
Citations per year

Countries citing papers authored by Sean Nee

Since Specialization
Citations

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

Fields of papers citing papers by Sean Nee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Sean Nee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sean Nee Line = papers co-authored together Sean Nee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20104
2 200527
3
Quantifying the roles of immigration and chance in shaping prokaryote community structurebreakdown →
20051276
4 200412
5 2004129
6 20044
7 20034
8 2001446
9 199751
10 1996220
11 199623
12 199570
13 1995132
14 199555
15
The reconstructed evolutionary processbreakdown →
1994625
16 199276
17 199295
18 199020
19 198984
20 198756

About Sean Nee

Sean Nee is a scholar working on Paleontology, Genetics, Nature and Landscape Conservation, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 94 papers that have together received 9.9k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (25 papers), Genetic diversity and population structure (18 papers), Ecology and Vegetation Dynamics Studies (17 papers), Evolution and Paleontology Studies (15 papers), Genomics and Phylogenetic Studies (13 papers), Plant and animal studies (13 papers), Animal Behavior and Reproduction (7 papers) and Wildlife Ecology and Conservation (6 papers). The work is most often cited by research in Paleontology (1.9k citations), Ecology, Evolution, Behavior and Systematics (3.3k citations), Nature and Landscape Conservation (2.0k citations), Ecological Modeling (617 citations) and Genetics (3.6k citations). Sean Nee has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Paul Harvey, Robert M. May, Andrew F. Read, Andrew Pomiankowski, Yoh Iwasa, Timothy G. Barraclough, Stephen Woodcock, Thomas P. Curtis, William T. Sloan and Mary Lunn. Their work appears in journals such as Nature, Evolution, Proceedings of the Royal Society B Biological Sciences, Trends in Ecology & Evolution and Philosophical Transactions of the Royal Society B Biological Sciences.

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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