T. Kaye Peterman

12 total papers · 1.0k total citations
10 papers, 840 citations indexed

About

T. Kaye Peterman is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, T. Kaye Peterman has authored 10 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Molecular Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in T. Kaye Peterman's work include Plant Molecular Biology Research (5 papers), Plant Reproductive Biology (4 papers) and Plant Stress Responses and Tolerance (3 papers). T. Kaye Peterman is often cited by papers focused on Plant Molecular Biology Research (5 papers), Plant Reproductive Biology (4 papers) and Plant Stress Responses and Tolerance (3 papers). T. Kaye Peterman collaborates with scholars based in United States. T. Kaye Peterman's co-authors include Howard M. Goodman, Melissa A. Melan, Keith Davis, Xinnian Dong, Frederick M. Ausubel, James N. Siedow, Elizabeth J. Luna, Lisa J. McReynolds, Yamini M. Ohol and Xin Zhang and has published in prestigious journals such as PLANT PHYSIOLOGY, Archives of Biochemistry and Biophysics and Molecular & Cellular Proteomics.

In The Last Decade

T. Kaye Peterman

10 papers receiving 813 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T. Kaye Peterman 687 406 123 68 40 10 840
Tamara Vellosillo 699 1.0× 333 0.8× 150 1.2× 43 0.6× 44 1.1× 11 854
Sun Jae Kwon 700 1.0× 447 1.1× 59 0.5× 67 1.0× 70 1.8× 12 900
Alina Mosblech 612 0.9× 486 1.2× 164 1.3× 84 1.2× 145 3.6× 8 873
S. Mark Goodwin 950 1.4× 437 1.1× 63 0.5× 34 0.5× 42 1.1× 7 1.0k
Christina Vieira Dos Santos 545 0.8× 491 1.2× 51 0.4× 45 0.7× 58 1.4× 8 839
Ratnesh Chaturvedi 673 1.0× 307 0.8× 68 0.6× 87 1.3× 50 1.3× 18 866
Theodora Farmaki 386 0.6× 370 0.9× 171 1.4× 148 2.2× 108 2.7× 15 718
Alexander Kaever 423 0.6× 452 1.1× 40 0.3× 106 1.6× 25 0.6× 18 729
Jeongwoon Kim 541 0.8× 640 1.6× 98 0.8× 23 0.3× 34 0.8× 15 1.0k
Rozenn Ménard 665 1.0× 372 0.9× 92 0.7× 43 0.6× 10 0.3× 10 780

Countries citing papers authored by T. Kaye Peterman

Since Specialization
Citations

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

Fields of papers citing papers by T. Kaye Peterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Kaye Peterman

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

All Works

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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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2026