Jae‐Yoon Kim

35 total papers · 459 total citations
16 papers, 272 citations indexed

About

Jae‐Yoon Kim is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Jae‐Yoon Kim has authored 16 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Jae‐Yoon Kim's work include Genetic and phenotypic traits in livestock (3 papers), Soybean genetics and cultivation (3 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). Jae‐Yoon Kim is often cited by papers focused on Genetic and phenotypic traits in livestock (3 papers), Soybean genetics and cultivation (3 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). Jae‐Yoon Kim collaborates with scholars based in South Korea, United States and Taiwan. Jae‐Yoon Kim's co-authors include Namshin Kim, Seongmun Jeong, Kyoung Hyoun Kim, Jung‐Kyung Moon, Soon‐Chun Jeong, Sung‐Taeg Kang, Hoyeon Lee, Sang Baek Koh, Namhee Jeong and Bo‐Keun Ha and has published in prestigious journals such as PLoS ONE, Scientific Reports and Infection and Immunity.

In The Last Decade

Jae‐Yoon Kim

13 papers receiving 269 citations

Author Peers

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

Author						Papers	Cites
Jae‐Yoon Kim	120	116	83	27	14	16	272
Seongmun Jeong	120 1.0×	118 1.0×	100 1.2×	57 2.1×	8 0.6×	14	322
Minmin Sun	52 0.4×	66 0.6×	64 0.8×	14 0.5×	9 0.6×	23	215
Zhigang Ma	159 1.3×	44 0.4×	180 2.2×	16 0.6×	10 0.7×	23	331
Jianfei Pan	51 0.4×	164 1.4×	128 1.5×	54 2.0×	27 1.9×	18	316
Marina Mora-Ortiz	56 0.5×	37 0.3×	143 1.7×	18 0.7×	18 1.3×	22	314
Deepti Jain	142 1.2×	63 0.5×	76 0.9×	13 0.5×	4 0.3×	13	300
Lei Du	93 0.8×	89 0.8×	117 1.4×	94 3.5×	15 1.1×	13	281
Sang-Je Park	34 0.3×	67 0.6×	202 2.4×	40 1.5×	17 1.2×	27	291
Silu Hu	28 0.2×	95 0.8×	164 2.0×	91 3.4×	32 2.3×	25	248
Shan Meng	278 2.3×	90 0.8×	83 1.0×	11 0.4×	7 0.5×	20	325

Countries citing papers authored by Jae‐Yoon Kim

Since Specialization

Citations

This map shows the geographic impact of Jae‐Yoon Kim'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 Jae‐Yoon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Yoon Kim more than expected).

Fields of papers citing papers by Jae‐Yoon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Yoon Kim. 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 Jae‐Yoon Kim. The network helps show where Jae‐Yoon Kim may publish in the future.

Co-authorship network of co-authors of Jae‐Yoon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Yoon Kim. A scholar is included among the top collaborators of Jae‐Yoon Kim 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 Jae‐Yoon Kim. Jae‐Yoon Kim 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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