Jason T. Weir

9.5k citations
60 papers · 6.5k indexed · 3 hit papers · h-index 32
Topics
Genetic diversity and population structure (46 papers)Evolution and Paleontology Studies (22 papers)Plant and animal studies (18 papers)

In The Last Decade

Jason T. Weir

60 papers receiving 6.4k citations

Hit Papers

GEIGER: investigating evolutionary radiations200720262013201920072010200850010001.5k

Peers

Jason T. Weir
Comparison fields: 5 of 127
  • Genetics 3.0k
  • Ecology, Evolution, Behavior and Systematics 2.6k
  • Paleontology 2.3k
  • Ecology 1.9k
  • Nature and Landscape Conservation 1.9k
Replace Rauri C. K. Bowie with:
Rauri C. K. Bowie United States
Per G. P. Ericson Sweden
Gavin H. Thomas United Kingdom
Emily Moriarty Lemmon United States
Rebecca T. Kimball United States
Shannon J. Hackett United States
Joël Cracraft United States
Irby J. Lovette United States
Robb T. Brumfield United States
Frederick H. Sheldon United States
Jason T. Weir relative to Rauri C. K. Bowie United States Rauri C. K. Bowie's profile →
Citations per field
00.5×1.5×
Rauri C. K. Bowie · 1×
Citations per year

Countries citing papers authored by Jason T. Weir

Since Specialization
Citations

This map shows the geographic impact of Jason T. Weir'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 Jason T. Weir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason T. Weir more than expected).

Fields of papers citing papers by Jason T. Weir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason T. Weir. 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 Jason T. Weir. The network helps show where Jason T. Weir may publish in the future.

Co-authorship network of co-authors of Jason T. Weir

This figure shows the co-authorship network connecting the top 25 collaborators of Jason T. Weir. A scholar is included among the top collaborators of Jason T. Weir 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 Jason T. Weir. Jason T. Weir 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 5
2 1
3 2
4 3
5 1
6 3
7 1
8 9
9 36
10 59
11 46
12 97
13 87
14 130
15
EARLY BURSTS OF BODY SIZE AND SHAPE EVOLUTION ARE RARE IN COMPARATIVE DATAbreakdown →
667
16 62
17
Calibrating the avian molecular clockbreakdown →
634
18 446
19 14
20 9

About Jason T. Weir

Jason T. Weir is a scholar working on Paleontology, Ecological Modeling and Developmental Biology, having authored 60 papers that have together received 6.5k indexed citations. Recurring topics across this work include Genetic diversity and population structure (46 papers), Evolution and Paleontology Studies (22 papers) and Plant and animal studies (18 papers). The work is most often cited by research in Paleontology (2.3k citations), Ecological Modeling (1.2k citations) and Nature and Landscape Conservation (1.9k citations). Jason T. Weir has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Dolph Schluter, Luke J. Harmon, Wendell Challenger, Chad D. Brock, Richard E. Glor, Trevor D. Price, Alexandre Luis Padovan Aleixo, Paola Pulido‐Santacruz, Eldredge Bermingham and David Wheatcroft. 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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