Man Su Kim

52 total papers · 939 total citations
32 papers, 482 citations indexed

About

Man Su Kim is a scholar working on Molecular Biology, Infectious Diseases and Aging. According to data from OpenAlex, Man Su Kim has authored 32 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Aging. Recurrent topics in Man Su Kim's work include Viral gastroenteritis research and epidemiology (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and CRISPR and Genetic Engineering (3 papers). Man Su Kim is often cited by papers focused on Viral gastroenteritis research and epidemiology (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and CRISPR and Genetic Engineering (3 papers). Man Su Kim collaborates with scholars based in South Korea, United States and India. Man Su Kim's co-authors include Soo-Keun Choi, Yong Seok Jeong, Meong Cheol Shin, Kwan Hyung Cho, Kyoung Ah Min, Pankaj Kapahi, Sehoon Jeong, Marshall L. Stoller, Arnold Kahn and Joe Miller and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Spine.

In The Last Decade

Man Su Kim

31 papers receiving 473 citations

Author Peers

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

Author						Papers	Cites
Man Su Kim	145	77	68	55	45	32	482
Liu	60 0.4×	73 0.9×	38 0.6×	55 1.0×	49 1.1×	51	456
Kai Kang	152 1.0×	95 1.2×	38 0.6×	23 0.4×	17 0.4×	34	523
Hongxing Shen	192 1.3×	64 0.8×	46 0.7×	13 0.2×	64 1.4×	47	526
Yunmi Kim	99 0.7×	23 0.3×	32 0.5×	34 0.6×	48 1.1×	46	546
Yanwei Liu	294 2.0×	23 0.3×	29 0.4×	32 0.6×	51 1.1×	49	530
Parvin Shariati	321 2.2×	31 0.4×	19 0.3×	39 0.7×	73 1.6×	38	530
Paola Quaranta	139 1.0×	71 0.9×	64 0.9×	56 1.0×	50 1.1×	32	462
Meysam Soleimani	266 1.8×	57 0.7×	31 0.5×	19 0.3×	71 1.6×	41	545
Xiaodan Zhang	95 0.7×	39 0.5×	36 0.5×	15 0.3×	30 0.7×	37	487
Ka Li	138 1.0×	23 0.3×	26 0.4×	51 0.9×	60 1.3×	35	519

Countries citing papers authored by Man Su Kim

Since Specialization

Citations

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

Fields of papers citing papers by Man Su Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Man Su 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 Man Su Kim. The network helps show where Man Su Kim may publish in the future.

Co-authorship network of co-authors of Man Su Kim

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