Su Kim

88 total papers · 1.3k total citations
49 papers, 581 citations indexed

About

Su Kim is a scholar working on Radiology, Nuclear Medicine and Imaging, Plant Science and Pathology and Forensic Medicine. According to data from OpenAlex, Su Kim has authored 49 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Plant Science and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Su Kim's work include Medical Imaging Techniques and Applications (9 papers), Breast Lesions and Carcinomas (7 papers) and Plant Virus Research Studies (5 papers). Su Kim is often cited by papers focused on Medical Imaging Techniques and Applications (9 papers), Breast Lesions and Carcinomas (7 papers) and Plant Virus Research Studies (5 papers). Su Kim collaborates with scholars based in United States, South Korea and Brazil. Su Kim's co-authors include Nestor de Barros, Evan D. Morris, A F Abramson, D. David Dershaw, Jenna M. Sullivan, Kelly Cosgrove, Elizabeth A. Morris, Giovanni Guido Cerri, Byeang Hyean Kim and Natarajan Venkatesan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Radiology.

In The Last Decade

Su Kim

39 papers receiving 564 citations

Author Peers

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

Author						Papers	Cites
Su Kim	202	142	118	94	66	49	581
Ting He	83 0.4×	45 0.3×	269 2.3×	63 0.7×	31 0.5×	43	674
Ke An	93 0.5×	99 0.7×	186 1.6×	30 0.3×	99 1.5×	35	562
W. De Loecker	64 0.3×	41 0.3×	254 2.2×	27 0.3×	117 1.8×	45	690
Irene González-Menéndez	41 0.2×	52 0.4×	226 1.9×	137 1.5×	18 0.3×	46	692
Jan Stenzel	108 0.5×	25 0.2×	191 1.6×	65 0.7×	51 0.8×	33	670
Zsolt Lengyel	130 0.6×	43 0.3×	63 0.5×	24 0.3×	75 1.1×	53	508
Norman Allen	58 0.3×	75 0.5×	124 1.1×	122 1.3×	37 0.6×	28	531
Eunha Park	60 0.3×	36 0.3×	146 1.2×	71 0.8×	13 0.2×	36	519
Bárbara Leal	24 0.1×	113 0.8×	138 1.2×	76 0.8×	14 0.2×	40	653
Yajuan Zheng	101 0.5×	26 0.2×	345 2.9×	53 0.6×	17 0.3×	41	689

Countries citing papers authored by Su Kim

Since Specialization

Citations

This map shows the geographic impact of 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 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 Su Kim more than expected).

Fields of papers citing papers by Su Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Kim

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