T. J. Kisha

15 total papers · 441 total citations
11 papers, 325 citations indexed

About

T. J. Kisha is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, T. J. Kisha has authored 11 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 2 papers in Molecular Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in T. J. Kisha's work include Genetic and Environmental Crop Studies (3 papers), Soybean genetics and cultivation (3 papers) and Agricultural pest management studies (2 papers). T. J. Kisha is often cited by papers focused on Genetic and Environmental Crop Studies (3 papers), Soybean genetics and cultivation (3 papers) and Agricultural pest management studies (2 papers). T. J. Kisha collaborates with scholars based in United States, Canada and Italy. T. J. Kisha's co-authors include Clay Sneller, B. W. Diers, Marc A. Evans, Ronald C. Johnson, Clarice J. Coyne, Rebecca J. McGee, Gail M. Timmerman‐Vaughan, Kevin McPhee, Allan Brown and Jinguo Hu and has published in prestigious journals such as Crop Science, HortScience and BMC Research Notes.

In The Last Decade

T. J. Kisha

10 papers receiving 304 citations

Author Peers

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

Author						Papers	Cites
T. J. Kisha	314	64	35	20	20	11	325
Sukumar Mesapogu	319 1.0×	143 2.2×	37 1.1×	12 0.6×	19 0.9×	13	344
Christophe Dayteg	278 0.9×	93 1.5×	88 2.5×	23 1.1×	15 0.8×	10	302
Xuehui Yao	318 1.0×	33 0.5×	93 2.7×	9 0.5×	16 0.8×	15	349
Manish L. Raorane	229 0.7×	41 0.6×	114 3.3×	12 0.6×	10 0.5×	17	294
Ivone de Bem Oliveira	279 0.9×	162 2.5×	33 0.9×	21 1.1×	31 1.6×	16	344
Linzi Jorgensen	264 0.8×	59 0.9×	100 2.9×	14 0.7×	8 0.4×	11	294
L. Kaur	337 1.1×	62 1.0×	24 0.7×	27 1.4×	28 1.4×	11	358
Andrzej Killian	263 0.8×	61 1.0×	83 2.4×	23 1.1×	13 0.7×	8	344
A. K. Fritz	286 0.9×	83 1.3×	53 1.5×	22 1.1×	60 3.0×	10	315
Céline Hamon	280 0.9×	21 0.3×	58 1.7×	17 0.8×	13 0.7×	8	301

Countries citing papers authored by T. J. Kisha

Since Specialization

Citations

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

Fields of papers citing papers by T. J. Kisha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. J. Kisha

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Kisha. A scholar is included among the top collaborators of T. J. Kisha 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. J. Kisha. T. J. Kisha 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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