Hye Jin Jin

43 total papers · 2.5k total citations
38 papers, 2.0k citations indexed

About

Hye Jin Jin is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Hye Jin Jin has authored 38 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 18 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in Hye Jin Jin's work include Mesenchymal stem cell research (32 papers), Tissue Engineering and Regenerative Medicine (15 papers) and Electrospun Nanofibers in Biomedical Applications (6 papers). Hye Jin Jin is often cited by papers focused on Mesenchymal stem cell research (32 papers), Tissue Engineering and Regenerative Medicine (15 papers) and Electrospun Nanofibers in Biomedical Applications (6 papers). Hye Jin Jin collaborates with scholars based in South Korea, United States and Saudi Arabia. Hye Jin Jin's co-authors include Wonil Oh, Soo Jin Choi, Yoon Sun Yang, Miyeon Kim, Soon‐Jae Kwon, Jong Hee Chang, Seong Min Kim, Soo Young Choi, Yun Soo Bae and Hong Bae Jeon and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Hye Jin Jin

38 papers receiving 1.9k citations

Hit Papers

Comparative Analysis of H... 2013 2026 2017 2021 2013 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
Hye Jin Jin 1.1k 806 565 353 200 38 2.0k
Yoon Sun Yang 1.3k 1.1× 803 1.0× 739 1.3× 445 1.3× 176 0.9× 52 2.4k
Soo Jin Choi 1.3k 1.1× 831 1.0× 723 1.3× 468 1.3× 173 0.9× 57 2.4k
Georgina Shaw 1.1k 1.0× 790 1.0× 724 1.3× 300 0.8× 417 2.1× 50 2.6k
Reiner Class 1.7k 1.5× 783 1.0× 876 1.6× 195 0.6× 265 1.3× 32 2.7k
R. K. Chailakhyan 1.3k 1.2× 575 0.7× 610 1.1× 148 0.4× 243 1.2× 35 2.0k
Nikolay Bazhanov 1.4k 1.2× 848 1.1× 662 1.2× 334 0.9× 248 1.2× 18 2.3k
Ted J. Hofmann 1.6k 1.4× 737 0.9× 1.1k 2.0× 204 0.6× 228 1.1× 34 3.0k
Roxanne L. Reger 1.1k 1.0× 740 0.9× 638 1.1× 148 0.4× 152 0.8× 18 1.9k
Kerry Atkinson 1.3k 1.1× 829 1.0× 572 1.0× 326 0.9× 230 1.1× 51 2.2k
Pedro César Chagastelles 1.7k 1.5× 1.1k 1.4× 815 1.4× 182 0.5× 372 1.9× 29 2.6k

Countries citing papers authored by Hye Jin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Hye Jin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hye Jin Jin

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