Y. T. Kiang

51 total papers · 687 total citations
40 papers, 498 citations indexed

About

Y. T. Kiang is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Y. T. Kiang has authored 40 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 4 papers in Genetics and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Y. T. Kiang's work include Soybean genetics and cultivation (28 papers), Legume Nitrogen Fixing Symbiosis (18 papers) and Phytase and its Applications (7 papers). Y. T. Kiang is often cited by papers focused on Soybean genetics and cultivation (28 papers), Legume Nitrogen Fixing Symbiosis (18 papers) and Phytase and its Applications (7 papers). Y. T. Kiang collaborates with scholars based in United States and Japan. Y. T. Kiang's co-authors include J. L. Hamrick, Y. C. Chiang, T. S. Cox, D. M. Rodgers, Hongrun Yu, N. Kaizuma, W. J. Libby, Carol J. Bult, Houqing Yu and J. J. O'Neill and has published in prestigious journals such as The American Naturalist, Evolution and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Y. T. Kiang

38 papers receiving 423 citations

Author Peers

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

Author						Papers	Cites
Y. T. Kiang	383	135	131	91	49	40	498
Bao-Rong Lu	356 0.9×	156 1.2×	117 0.9×	134 1.5×	50 1.0×	30	496
Václav Mahelka	403 1.1×	130 1.0×	194 1.5×	140 1.5×	41 0.8×	25	507
Susana N. Marcucci Poltri	342 0.9×	232 1.7×	64 0.5×	146 1.6×	84 1.7×	30	539
Ivan W. Mott	376 1.0×	88 0.7×	152 1.2×	115 1.3×	46 0.9×	35	589
S. G. Hegde	409 1.1×	109 0.8×	148 1.1×	185 2.0×	92 1.9×	18	526
E. Ottaviano	395 1.0×	119 0.9×	166 1.3×	302 3.3×	52 1.1×	21	504
Águedo Marrero	286 0.7×	98 0.7×	205 1.6×	158 1.7×	46 0.9×	47	483
Alejandro Presotto	418 1.1×	69 0.5×	62 0.5×	114 1.3×	24 0.5×	40	466
Marina V. Olonova	370 1.0×	103 0.8×	216 1.6×	116 1.3×	33 0.7×	35	491
Jiapeng Fang	489 1.3×	91 0.7×	41 0.3×	188 2.1×	38 0.8×	25	608

Countries citing papers authored by Y. T. Kiang

Since Specialization

Citations

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

Fields of papers citing papers by Y. T. Kiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. T. Kiang

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