Ki-Up Lee

10 total papers · 931 total citations
9 papers, 787 citations indexed

About

Ki-Up Lee is a scholar working on Molecular Biology, Surgery and Nephrology. According to data from OpenAlex, Ki-Up Lee has authored 9 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Nephrology. Recurrent topics in Ki-Up Lee's work include Clusterin in disease pathology (2 papers), Biomarkers in Disease Mechanisms (2 papers) and TGF-β signaling in diseases (2 papers). Ki-Up Lee is often cited by papers focused on Clusterin in disease pathology (2 papers), Biomarkers in Disease Mechanisms (2 papers) and TGF-β signaling in diseases (2 papers). Ki-Up Lee collaborates with scholars based in South Korea and United States. Ki-Up Lee's co-authors include Goo Taeg Oh, Hyoun Sik Kim, Eun Hee Koh, Joong‐Yeol Park, Min‐Seon Kim, Ki Sook Oh, Hye Sun Park, Jong Chul Won, Woo Je Lee and Mi‐Na Kim and has published in prestigious journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications and Journal of the American Society of Nephrology.

In The Last Decade

Ki-Up Lee

9 papers receiving 773 citations

Author Peers

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

Author						Papers	Cites
Ki-Up Lee	425	231	140	137	111	9	787
Despina Tsorotes	332 0.8×	111 0.5×	77 0.6×	100 0.7×	110 1.0×	12	888
Masako Baba	186 0.4×	292 1.3×	92 0.7×	391 2.9×	62 0.6×	9	812
JC Fruchart	581 1.4×	165 0.7×	118 0.8×	144 1.1×	100 0.9×	9	898
Wenliang Zha	381 0.9×	103 0.4×	57 0.4×	111 0.8×	83 0.7×	20	883
Sara Fröjdö	394 0.9×	245 1.1×	36 0.3×	135 1.0×	83 0.7×	9	854
Kyoko Hoshina	406 1.0×	105 0.5×	63 0.5×	208 1.5×	99 0.9×	10	621
Naoichi Sato	202 0.5×	198 0.9×	42 0.3×	142 1.0×	53 0.5×	11	623
Nicole S. Wayman	487 1.1×	130 0.6×	127 0.9×	37 0.3×	94 0.8×	10	768
Asjad Visnagri	284 0.7×	148 0.6×	88 0.6×	40 0.3×	65 0.6×	15	878
Naotaka Sekiguchi	250 0.6×	284 1.2×	50 0.4×	142 1.0×	74 0.7×	22	801

Countries citing papers authored by Ki-Up Lee

Since Specialization

Citations

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

Fields of papers citing papers by Ki-Up Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki-Up Lee. 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 Ki-Up Lee. The network helps show where Ki-Up Lee may publish in the future.

Co-authorship network of co-authors of Ki-Up Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ki-Up Lee. A scholar is included among the top collaborators of Ki-Up Lee 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 Ki-Up Lee. Ki-Up Lee 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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