In-geun Ryoo
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
-
- Genomics, phytochemicals, and oxidative stress
- Glutathione Transferases and Polymorphisms
- Epigenetics and DNA Methylation
Papers in
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- Genomics, phytochemicals, and oxidative stress 13
- Fibroblast Growth Factor Research 3
- Histone Deacetylase Inhibitors Research 3
- Glutathione Transferases and Polymorphisms 3
- Renal and related cancers 2
- Co-authors
- Mi‐Kyoung Kwak (18 shared papers)Bo-Hyun Choi (9 shared papers)Sae‐Kwang Ku (2 shared papers)Sanghwan Lee (4 shared papers)Su Jin Kang (2 shared papers)Young Joon Lee (1 shared paper)Han Chang Kang (1 shared paper)Jinhee Lee (1 shared paper)
- Journals
- Toxicology and Applied Pharmacology (3 papers)Biomolecules & Therapeutics (3 papers)Free Radical Biology and Medicine (3 papers)Oncotarget (2 papers)PLoS ONE (2 papers)
- Partner nations
- South Korea
In The Last Decade
In-geun Ryoo
19 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 86
- Cancer Research 161
- Molecular Biology 618
- Oncology 163
- Geriatrics and Gerontology 18
- Nephrology 37
Countries citing papers authored by In-geun Ryoo
This map shows the geographic impact of In-geun Ryoo'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 In-geun Ryoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In-geun Ryoo more than expected).
Fields of papers citing papers by In-geun Ryoo
This network shows the impact of papers produced by In-geun Ryoo. 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 In-geun Ryoo. The network helps show where In-geun Ryoo may publish in the future.
Co-authors
The 17 scholars most cited alongside In-geun Ryoo, 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 | 2018 | 188 | |
| 2 | 2018 | 123 | |
| 3 | 2018 | 95 | |
| 4 | 2019 | 90 | |
| 5 | 2011 | 70 | |
| 6 | 2015 | 68 | |
| 7 | 2014 | 61 | |
| 8 | 2016 | 58 | |
| 9 | 2012 | 57 | |
| 10 | 2015 | 43 | |
| 11 | 2014 | 42 | |
| 12 | 2012 | 39 | |
| 13 | 2015 | 29 | |
| 14 | 2017 | 28 | |
| 15 | 2018 | 16 | |
| 16 | 2022 | 13 | |
| 17 | 2016 | 2 | |
| 18 | 2018 | 1 | |
| 19 | 2018 | 1 |
About In-geun Ryoo
In-geun Ryoo is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Oncology and Organic Chemistry, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (13 papers), Fibroblast Growth Factor Research (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Glutathione Transferases and Polymorphisms (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Renal and related cancers (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (161 citations), Molecular Biology (618 citations), Oncology (163 citations), Geriatrics and Gerontology (18 citations) and Nephrology (37 citations). In-geun Ryoo has collaborated with scholars based in South Korea. Frequent co-authors include Mi‐Kyoung Kwak, Bo-Hyun Choi, Sae‐Kwang Ku, Sanghwan Lee, Su Jin Kang, Young Joon Lee, Han Chang Kang, Jinhee Lee, Kyeong-Ah Jung and Jiyeon Kwak. Their work appears in journals such as Toxicology and Applied Pharmacology, Biomolecules & Therapeutics, Free Radical Biology and Medicine, Oncotarget and PLoS ONE.
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.