Ju Rang Woo
Impact in
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- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
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- Adipokines, Inflammation, and Metabolic Diseases
Papers in
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- Ubiquitin and proteasome pathways 3
- Protein Kinase Regulation and GTPase Signaling 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Protein purification and stability 2
- Metabolism, Diabetes, and Cancer 2
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Steven E. Shoelson (4 shared papers)Jongsoon Lee (3 shared papers)Nozomu Kamei (2 shared papers)Myung‐Sunny Kim (2 shared papers)Yasuhiko Yamamoto (2 shared papers)Jin Hyoung Park (2 shared papers)Gyun Min Lee (2 shared papers)Jong‐Won Kim (2 shared papers)
- Journals
- International Journal of Biological Macromolecules (2 papers)Microchemical Journal (1 paper)Biotechnology Journal (1 paper)Biotechnology Progress (1 paper)Experimental & Molecular Medicine (1 paper)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Ju Rang Woo
12 papers receiving 576 citations
Peers
Comparison fields: 5 of 72
- Immunology 175
- Epidemiology 159
- Physiology 111
- Molecular Biology 235
- Endocrine and Autonomic Systems 18
Countries citing papers authored by Ju Rang Woo
This map shows the geographic impact of Ju Rang Woo'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 Ju Rang Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Rang Woo more than expected).
Fields of papers citing papers by Ju Rang Woo
This network shows the impact of papers produced by Ju Rang Woo. 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 Ju Rang Woo. The network helps show where Ju Rang Woo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Rang Woo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 238 | |
| 2 | 2013 | 110 | |
| 3 | 2015 | 59 | |
| 4 | 2017 | 38 | |
| 5 | 2022 | 29 | |
| 6 | 2016 | 26 | |
| 7 | 2013 | 23 | |
| 8 | 2011 | 22 | |
| 9 | 2024 | 18 | |
| 10 | 2023 | 10 | |
| 11 | 2017 | 7 | |
| 12 | 2019 | 3 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Ju Rang Woo
Ju Rang Woo is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Epidemiology and Infectious Diseases, having authored 14 papers that have together received 583 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Ubiquitin and proteasome pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Protein purification and stability (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cellular transport and secretion (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Immunology (175 citations), Epidemiology (159 citations), Physiology (111 citations), Molecular Biology (235 citations) and Endocrine and Autonomic Systems (18 citations). Ju Rang Woo has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Steven E. Shoelson, Jongsoon Lee, Nozomu Kamei, Myung‐Sunny Kim, Yasuhiko Yamamoto, Jin Hyoung Park, Gyun Min Lee, Jong‐Won Kim, Delphine Eberlé and Souphatta Sasorith. Their work appears in journals such as International Journal of Biological Macromolecules, Microchemical Journal, Biotechnology Journal, Biotechnology Progress and Experimental & Molecular Medicine.
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.