Juhyung Woo
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- Genomics, phytochemicals, and oxidative stress 2
- Biochemical and Molecular Research 2
- PI3K/AKT/mTOR signaling in cancer 2
- Metabolism, Diabetes, and Cancer 2
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- Autophagy in Disease and Therapy 3
- Adipokines, Inflammation, and Metabolic Diseases 2
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- Cancer-related Molecular Pathways 4
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- Renal cell carcinoma treatment 2
- Co-authors
- Dipali SharmaArumugam NagalingamNeeraj K. SaxenaNethaji MunirajBalázs GyőrffyEdward GabrielsonSeung Joon ChungPanjamurthy Kuppusamy
- Journals
- Nature Communications (2 papers)Cancer Research (3 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesSouth KoreaHungary
In The Last Decade
Juhyung Woo
24 papers receiving 497 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 113
- Physiology 19
- Molecular Biology 270
- Geriatrics and Gerontology 15
- Epidemiology 129
Countries citing papers authored by Juhyung Woo
This map shows the geographic impact of Juhyung 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 Juhyung Woo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juhyung Woo more than expected).
Fields of papers citing papers by Juhyung Woo
This network shows the impact of papers produced by Juhyung 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 Juhyung Woo. The network helps show where Juhyung Woo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juhyung 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2022 | 26 | |
| 4 | 2022 | 61 | |
| 5 | 2021 | 22 | |
| 6 | 2020 | 21 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 35 | |
| 9 | 2018 | 8 | |
| 10 | 2018 | 40 | |
| 11 | 2017 | 160 | |
| 12 | 2014 | 31 | |
| 13 | Bauhaus Theatre Workshop and Stage Costumes - Focusing on Stage Costumes by Oskar Schlemmer - | 2011 | 1 |
| 14 | 2010 | 2 | |
| 15 | Inhibition of fatty acid synthase by C247 for lung cancer treatment | 2005 | 1 |
| 16 | Increased expression of MARCKS in cancer cells represents a potential target for treatment | 2004 | 1 |
| 17 | 2003 | 22 | |
| 18 | 2002 | 7 | |
| 19 | 2001 | 7 | |
| 20 | Isolation and Characterization of Acinetobacter sp. WC-17 Producing Chitinase | 1995 | 4 |
About Juhyung Woo
Juhyung Woo is a scholar working on Applied Microbiology and Biotechnology, Cancer Research and Museology, having authored 26 papers that have together received 507 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Autophagy in Disease and Therapy (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Renal cell carcinoma treatment (2 papers), Biochemical and Molecular Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Cancer Research (113 citations), Physiology (19 citations) and Molecular Biology (270 citations). Juhyung Woo has collaborated with scholars based in United States, South Korea and Hungary. Frequent co-authors include Dipali Sharma, Arumugam Nagalingam, Neeraj K. Saxena, Nethaji Muniraj, Balázs Győrffy, Edward Gabrielson, Seung Joon Chung, Panjamurthy Kuppusamy, Ganji Purnachandra Nagaraju and Kaushal Asrani. Their work appears in journals such as Nature Communications, Cancer Research and Biochemical and Biophysical Research Communications.
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.