In-Young Lee

113 total papers · 1.4k total citations
58 papers, 1.1k citations indexed

About

In-Young Lee is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, In-Young Lee has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Public Health, Environmental and Occupational Health and 8 papers in Physiology. Recurrent topics in In-Young Lee's work include Diverse Approaches in Healthcare and Education Studies (6 papers), Microbial Metabolites in Food Biotechnology (3 papers) and Diverse Topics in Contemporary Research (3 papers). In-Young Lee is often cited by papers focused on Diverse Approaches in Healthcare and Education Studies (6 papers), Microbial Metabolites in Food Biotechnology (3 papers) and Diverse Topics in Contemporary Research (3 papers). In-Young Lee collaborates with scholars based in United States, South Korea and Taiwan. In-Young Lee's co-authors include Lars Ernster, Birgitta Norling, Bengt Persson, Rao S. Bezwada, Sylvia Liu, Dennis D. Jamiolkowski, Mi-Kyoung Kim, John P. N. Rosazza, Elmon L. Coe and Min Gyu Kim and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

In-Young Lee

46 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
In-Young Lee	400	166	156	155	144	58	1.1k
Byeong-Cheol Kang	390 1.0×	144 0.9×	130 0.8×	168 1.1×	88 0.6×	57	1.3k
Paul Baldrick	321 0.8×	241 1.5×	117 0.8×	103 0.7×	91 0.6×	59	1.5k
Ki‐Choon Choi	485 1.2×	159 1.0×	103 0.7×	78 0.5×	108 0.8×	56	1.1k
Debasish Bhattacharyya	471 1.2×	94 0.6×	110 0.7×	104 0.7×	78 0.5×	70	1.2k
Omid Koohi‐Hosseinabadi	206 0.5×	124 0.7×	133 0.9×	133 0.9×	109 0.8×	75	1.1k
Rabbani Syed	318 0.8×	120 0.7×	263 1.7×	99 0.6×	85 0.6×	108	1.4k
Ching‐Yun Hsu	476 1.2×	82 0.5×	142 0.9×	68 0.4×	96 0.7×	56	1.4k
Yiyang Wang	248 0.6×	107 0.6×	96 0.6×	107 0.7×	177 1.2×	62	1.0k
Juan Liang	484 1.2×	194 1.2×	112 0.7×	61 0.4×	107 0.7×	52	1.2k
Mara Massimi	424 1.1×	178 1.1×	252 1.6×	148 1.0×	63 0.4×	52	1.3k

Countries citing papers authored by In-Young Lee

Since Specialization

Citations

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

Fields of papers citing papers by In-Young Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of In-Young Lee

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