Whitney L. E. Tsai

751 citations
19 papers · 478 indexed · h-index 11
Topics
Genetic diversity and population structure (12 papers)Plant and animal studies (7 papers)Genomics and Phylogenetic Studies (6 papers)

In The Last Decade

Whitney L. E. Tsai

17 papers receiving 473 citations

Peers

Whitney L. E. Tsai
Comparison fields: 5 of 47
  • Genetics 301
  • Molecular Biology 211
  • Ecology 175
  • Ecology, Evolution, Behavior and Systematics 152
  • Ecological Modeling 72
Replace Eugenia Zarza with:
Eugenia Zarza Mexico
Joshua V. Peñalba Australia
Nuria Macías‐Hernández Spain
Bailey D. McKay United States
Rémy Dernat France
José Cerca Norway
Chaochao Hu China
Mari Kekkonen Finland
Brent E. Hendrixson United States
Yaroslav A. Red’kin Russia
Whitney L. E. Tsai relative to Eugenia Zarza Mexico Eugenia Zarza's profile →
Citations per field
00.5×1.5×2.1×
Eugenia Zarza · 1×
Citations per year

Countries citing papers authored by Whitney L. E. Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Whitney L. E. Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Whitney L. E. Tsai. 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 Whitney L. E. Tsai. The network helps show where Whitney L. E. Tsai may publish in the future.

Co-authorship network of co-authors of Whitney L. E. Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Whitney L. E. Tsai. A scholar is included among the top collaborators of Whitney L. E. Tsai 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 Whitney L. E. Tsai. Whitney L. E. Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 10
5 13
6 3
7 4
8 14
9 61
10 20
11 1
12 25
13 30
14 2
15 16
16 54
17 15
18 191
19 18

About Whitney L. E. Tsai

Whitney L. E. Tsai is a scholar working on Genetics, Ecological Modeling and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 478 indexed citations. Recurring topics across this work include Genetic diversity and population structure (12 papers), Plant and animal studies (7 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Ecological Modeling (72 citations), Genetics (301 citations) and Paleontology (67 citations). Whitney L. E. Tsai has collaborated with scholars based in United States, Mexico and Brazil. Frequent co-authors include John E. McCormack, Brant C. Faircloth, James M. Maley, Eugenia Zarza, John Klicka, Robert W. Bryson, Devon A. DeRaad, Márcio R. Pie, John C. Hafner and Gary G. Martin. Their work appears in journals such as Evolution, Molecular Ecology and Molecular Phylogenetics and Evolution.

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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