Seungheon Lee

81 total papers · 1.1k total citations
48 papers, 836 citations indexed

About

Seungheon Lee is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Seungheon Lee has authored 48 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 8 papers in Cell Biology. Recurrent topics in Seungheon Lee's work include Neuroscience and Neuropharmacology Research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Retinal Diseases and Treatments (6 papers). Seungheon Lee is often cited by papers focused on Neuroscience and Neuropharmacology Research (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers) and Retinal Diseases and Treatments (6 papers). Seungheon Lee collaborates with scholars based in South Korea, United Kingdom and United States. Seungheon Lee's co-authors include Gi‐Young Kim, Yung Hyun Choi, Jong Hoon Ryu, Matharage Gayani Dilshara, Rajapaksha Gedara Prasad Tharanga Jayasooriya, Dong Hyun Kim, Ji Wook Jung, Chang‐Hee Kang, Se Jin Park and Ilandarage Menu Neelaka Molagoda and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Environmental Pollution.

In The Last Decade

Seungheon Lee

47 papers receiving 826 citations

Author Peers

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

Author						Papers	Cites
Seungheon Lee	308	150	122	118	100	48	836
Jianguo Niu	346 1.1×	103 0.7×	115 0.9×	118 1.0×	74 0.7×	61	876
Shi‐Xun Ma	324 1.1×	175 1.2×	78 0.6×	130 1.1×	74 0.7×	56	901
Juhee Lim	383 1.2×	167 1.1×	134 1.1×	94 0.8×	67 0.7×	49	924
Gang Zhao	319 1.0×	146 1.0×	145 1.2×	78 0.7×	110 1.1×	41	1.0k
Noha N. Nassar	266 0.9×	159 1.1×	134 1.1×	132 1.1×	65 0.7×	39	948
Mohammad Allahtavakoli	294 1.0×	176 1.2×	150 1.2×	123 1.0×	90 0.9×	59	898
Shijun Xu	290 0.9×	110 0.7×	134 1.1×	180 1.5×	55 0.6×	51	858
Sukumal Chongthammakun	281 0.9×	187 1.2×	118 1.0×	92 0.8×	78 0.8×	37	977
Muhammed A. Saad	318 1.0×	140 0.9×	94 0.8×	118 1.0×	41 0.4×	45	878
Duk-Yeon Cho	326 1.1×	115 0.8×	138 1.1×	108 0.9×	82 0.8×	31	739

Countries citing papers authored by Seungheon Lee

Since Specialization

Citations

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

Fields of papers citing papers by Seungheon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungheon Lee

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