Sanghee Shin

37 total papers · 807 total citations
27 papers, 570 citations indexed

About

Sanghee Shin is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Sanghee Shin has authored 27 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Cancer Research. Recurrent topics in Sanghee Shin's work include Biotin and Related Studies (5 papers), Mitochondrial Function and Pathology (4 papers) and NF-κB Signaling Pathways (4 papers). Sanghee Shin is often cited by papers focused on Biotin and Related Studies (5 papers), Mitochondrial Function and Pathology (4 papers) and NF-κB Signaling Pathways (4 papers). Sanghee Shin collaborates with scholars based in South Korea, United States and Ethiopia. Sanghee Shin's co-authors include Jong‐Seo Kim, Hyun‐Woo Rhee, Myeong‐Gyun Kang, Chulhwan Kwak, Song-Yi Lee, Gang Min Hur, Minkyo Jung, Sang Ki Park, Ji Young Mun and Tae‐Hyuk Kwon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Sanghee Shin

23 papers receiving 566 citations

Author Peers

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

Author						Papers	Cites
Sanghee Shin	409	142	90	72	51	27	570
Anup D. Shah	307 0.8×	82 0.6×	57 0.6×	36 0.5×	46 0.9×	29	521
Renan B. Ferreira	335 0.8×	70 0.5×	35 0.4×	129 1.8×	51 1.0×	27	678
Paul Shapiro	468 1.1×	91 0.6×	71 0.8×	99 1.4×	40 0.8×	31	666
Mingming Liu	332 0.8×	193 1.4×	77 0.9×	118 1.6×	18 0.4×	24	617
L. Alexis Hoeferlin	442 1.1×	55 0.4×	87 1.0×	32 0.4×	72 1.4×	21	657
Yihan Wang	449 1.1×	64 0.5×	97 1.1×	31 0.4×	28 0.5×	31	629
Amandine Rovini	372 0.9×	111 0.8×	83 0.9×	44 0.6×	72 1.4×	26	628
Pierre Broquet	453 1.1×	102 0.7×	83 0.9×	100 1.4×	73 1.4×	46	594
Madhu Mahankali	363 0.9×	111 0.8×	55 0.6×	197 2.7×	59 1.2×	17	573
Gipsy Majumdar	371 0.9×	51 0.4×	73 0.8×	64 0.9×	39 0.8×	16	507

Countries citing papers authored by Sanghee Shin

Since Specialization

Citations

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

Fields of papers citing papers by Sanghee Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanghee Shin

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