Byung Jun Ryu
Impact in
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- Pregnancy and preeclampsia studies
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- Bone health and treatments
- Cancer-related Molecular Pathways
Papers in
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- Bone Metabolism and Diseases 5
- Signaling Pathways in Disease 4
- Cell death mechanisms and regulation 3
- Oncology 6
- Peptidase Inhibition and Analysis 3
- Co-authors
- Seong Hwan Kim (10 shared papers)Sik‐Won Choi (8 shared papers)Jeong‐Tae Yeon (7 shared papers)Kwang‐Jin Kim (6 shared papers)Sang Yeol Lee (4 shared papers)Young–Jin Son (4 shared papers)Jongsung Lee (2 shared papers)Jae Youl Cho (2 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)American Journal of Reproductive Immunology (3 papers)Amino Acids (2 papers)Cancer Letters (1 paper)BioMed Research International (1 paper)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Byung Jun Ryu
23 papers receiving 448 citations
Peers
Comparison fields: 5 of 72
- Obstetrics and Gynecology 27
- Oncology 99
- Molecular Biology 268
- Reproductive Medicine 27
- Cancer Research 45
Countries citing papers authored by Byung Jun Ryu
This map shows the geographic impact of Byung Jun Ryu'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 Byung Jun Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byung Jun Ryu more than expected).
Fields of papers citing papers by Byung Jun Ryu
This network shows the impact of papers produced by Byung Jun Ryu. 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 Byung Jun Ryu. The network helps show where Byung Jun Ryu may publish in the future.
Co-authors
The 25 scholars most cited alongside Byung Jun Ryu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 46 | |
| 2 | 2013 | 43 | |
| 3 | 2014 | 34 | |
| 4 | 2014 | 33 | |
| 5 | 2015 | 33 | |
| 6 | 2014 | 29 | |
| 7 | 2003 | 27 | |
| 8 | 2013 | 27 | |
| 9 | 2015 | 19 | |
| 10 | 2008 | 17 | |
| 11 | 2017 | 15 | |
| 12 | 2017 | 15 | |
| 13 | 2017 | 15 | |
| 14 | 2014 | 14 | |
| 15 | 2015 | 14 | |
| 16 | 2012 | 13 | |
| 17 | 2012 | 13 | |
| 18 | 2011 | 12 | |
| 19 | 2012 | 9 | |
| 20 | 2013 | 7 |
About Byung Jun Ryu
Byung Jun Ryu is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Genetics, having authored 23 papers that have together received 449 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), Estrogen and related hormone effects (4 papers), Signaling Pathways in Disease (4 papers), Cell death mechanisms and regulation (3 papers), Protease and Inhibitor Mechanisms (3 papers), NF-κB Signaling Pathways (3 papers), Peptidase Inhibition and Analysis (3 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Obstetrics and Gynecology (27 citations), Oncology (99 citations), Molecular Biology (268 citations), Reproductive Medicine (27 citations) and Cancer Research (45 citations). Byung Jun Ryu has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Seong Hwan Kim, Sik‐Won Choi, Jeong‐Tae Yeon, Kwang‐Jin Kim, Sang Yeol Lee, Young–Jin Son, Jongsung Lee, Jae Youl Cho, Sung Ki Lee and Byung Ju Lee. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, American Journal of Reproductive Immunology, Amino Acids, Cancer Letters and BioMed Research International.
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.