Hyenjong Hong

13 total papers · 5.8k total citations
11 papers, 4.1k citations indexed

About

Hyenjong Hong is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hyenjong Hong has authored 11 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Biomedical Engineering and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hyenjong Hong's work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (10 papers) and 3D Printing in Biomedical Research (5 papers). Hyenjong Hong is often cited by papers focused on Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (10 papers) and 3D Printing in Biomedical Research (5 papers). Hyenjong Hong collaborates with scholars based in United States and Japan. Hyenjong Hong's co-authors include Keisuke Okita, Shinya Yamanaka, Masato Nakagawa, Tomoko Ichisaka, Kazutoshi Takahashi, Takashi Aoi, Osami Kanagawa, Yasuko Matsumura, Koji Tanabe and Jun Takahashi and has published in prestigious journals such as Nature, Science and Nature Methods.

In The Last Decade

Hyenjong Hong

10 papers receiving 4.1k citations

Hit Papers

A more efficient method t... 2008 2026 2014 2020 2011 2008 2009 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Hyenjong Hong 3.7k 655 601 511 465 11 4.1k
Irina Klimanskaya 4.0k 1.1× 639 1.0× 537 0.9× 559 1.1× 364 0.8× 25 5.0k
Nanako Takizawa 2.9k 0.8× 561 0.9× 336 0.6× 453 0.9× 318 0.7× 8 3.2k
Noemi Fusaki 3.2k 0.9× 485 0.7× 560 0.9× 436 0.9× 468 1.0× 39 3.9k
Tongxiang Lin 3.6k 1.0× 581 0.9× 424 0.7× 531 1.0× 349 0.8× 33 4.2k
Tim Ahfeldt 4.3k 1.2× 857 1.3× 674 1.1× 704 1.4× 541 1.2× 22 5.0k
Hongguang Huo 5.3k 1.4× 1.0k 1.6× 949 1.6× 909 1.8× 547 1.2× 13 6.0k
Paul H. Lerou 3.4k 0.9× 675 1.0× 500 0.8× 459 0.9× 381 0.8× 40 4.1k
Gustavo Tiscórnia 3.1k 0.8× 394 0.6× 512 0.9× 334 0.7× 665 1.4× 35 3.8k
Saiyong Zhu 4.1k 1.1× 816 1.2× 409 0.7× 572 1.1× 424 0.9× 36 5.2k
Philip D. Manos 2.9k 0.8× 502 0.8× 382 0.6× 505 1.0× 400 0.9× 8 3.1k

Countries citing papers authored by Hyenjong Hong

Since Specialization
Citations

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

Fields of papers citing papers by Hyenjong Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyenjong Hong

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