Jaekyoon Shin

34 total papers · 2.5k total citations
32 papers, 2.1k citations indexed

About

Jaekyoon Shin is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jaekyoon Shin has authored 32 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Oncology. Recurrent topics in Jaekyoon Shin's work include Autophagy in Disease and Therapy (7 papers), Immune Cell Function and Interaction (5 papers) and Cancer-related Molecular Pathways (4 papers). Jaekyoon Shin is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Immune Cell Function and Interaction (5 papers) and Cancer-related Molecular Pathways (4 papers). Jaekyoon Shin collaborates with scholars based in South Korea, United States and Japan. Jaekyoon Shin's co-authors include Ratna K. Vadlamudi, Jack L. Strominger, Insil Joung, Tong Mook Kang, Hye Seung Jung, Yeon Taek Jeong, Jeong Won Kim, JW Kim, Kwang-Won Kim and Jin Kim and has published in prestigious journals such as Science, Journal of Biological Chemistry and Blood.

In The Last Decade

Jaekyoon Shin

32 papers receiving 2.1k citations

Hit Papers

Loss of Autophagy Diminis... 2008 2026 2014 2020 2008 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Jaekyoon Shin 1.1k 865 372 279 268 32 2.1k
Olivier Geneste 1.7k 1.5× 894 1.0× 371 1.0× 145 0.5× 353 1.3× 35 2.7k
Elaine A. Dunlop 1.3k 1.1× 626 0.7× 310 0.8× 147 0.5× 187 0.7× 28 2.0k
Dunecan Massey 900 0.8× 1.4k 1.6× 342 0.9× 212 0.8× 91 0.3× 30 2.2k
Ida Stenfeldt Mathiasen 1.0k 0.9× 858 1.0× 410 1.1× 117 0.4× 244 0.9× 17 2.1k
Yasumasa Nishito 2.1k 1.9× 884 1.0× 418 1.1× 145 0.5× 174 0.6× 46 3.2k
Grégory Bellot 1.4k 1.3× 940 1.1× 189 0.5× 140 0.5× 148 0.6× 22 2.5k
Amitava Mukherjee 1.0k 0.9× 361 0.4× 417 1.1× 227 0.8× 258 1.0× 33 2.0k
Shu‐Yong Lin 1.9k 1.7× 626 0.7× 349 0.9× 464 1.7× 322 1.2× 35 2.6k
Robert Gourlay 2.2k 2.0× 1.1k 1.3× 571 1.5× 197 0.7× 240 0.9× 40 3.2k
William C. Comb 1.2k 1.1× 392 0.5× 334 0.9× 185 0.7× 188 0.7× 16 2.1k

Countries citing papers authored by Jaekyoon Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jaekyoon Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaekyoon Shin

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