Jin Won Cho
Impact in
- Immunology top 5%
- Galectins and Cancer Biology
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
Papers in
-
- Glycosylation and Glycoproteins Research 39
- Ubiquitin and proteasome pathways 9
- Immunology 27
- Galectins and Cancer Biology 17
- Co-authors
- Won Ho Yang (18 shared papers)Hyung Wook Nam (4 shared papers)Hoe Suk Kim (4 shared papers)Sangyoon Park (9 shared papers)Yu Sam Kim (2 shared papers)Jung‐Won Ju (3 shared papers)Jeong Gu Kang (9 shared papers)Jürgen Roth (9 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (6 papers)FEBS Letters (5 papers)Scientific Reports (4 papers)PROTEOMICS (4 papers)Molecules and Cells (3 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jin Won Cho
85 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 122
- Immunology 883
- Molecular Biology 2.2k
- Aging 49
- Organic Chemistry 717
- Cell Biology 368
Countries citing papers authored by Jin Won Cho
This map shows the geographic impact of Jin Won Cho'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 Jin Won Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Won Cho more than expected).
Fields of papers citing papers by Jin Won Cho
This network shows the impact of papers produced by Jin Won Cho. 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 Jin Won Cho. The network helps show where Jin Won Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Won Cho, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 375 | |
| 2 | 2008 | 214 | |
| 3 | 2010 | 157 | |
| 4 | 2010 | 133 | |
| 5 | 2012 | 103 | |
| 6 | 2012 | 101 | |
| 7 | 2005 | 100 | |
| 8 | 2016 | 82 | |
| 9 | 2009 | 82 | |
| 10 | 2015 | 76 | |
| 11 | 2009 | 73 | |
| 12 | 2011 | 69 | |
| 13 | 2018 | 68 | |
| 14 | 2018 | 56 | |
| 15 | 2016 | 56 | |
| 16 | 2010 | 55 | |
| 17 | 2012 | 55 | |
| 18 | 2021 | 55 | |
| 19 | 2003 | 52 | |
| 20 | 2018 | 50 |
About Jin Won Cho
Jin Won Cho is a scholar working on Molecular Biology, Immunology, Cell Biology, Organic Chemistry and Epidemiology, having authored 87 papers that have together received 3.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (39 papers), Galectins and Cancer Biology (17 papers), Carbohydrate Chemistry and Synthesis (13 papers), Autophagy in Disease and Therapy (9 papers), Ubiquitin and proteasome pathways (9 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Cellular transport and secretion (7 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). The work is most often cited by research in Immunology (883 citations), Molecular Biology (2.2k citations), Aging (49 citations), Organic Chemistry (717 citations) and Cell Biology (368 citations). Jin Won Cho has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Won Ho Yang, Hyung Wook Nam, Hoe Suk Kim, Sangyoon Park, Yu Sam Kim, Jung‐Won Ju, Jeong Gu Kang, Jürgen Roth, Ji Eun Kim and Insook Jang. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters, Scientific Reports, PROTEOMICS and Molecules and Cells.
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.