Ji‐Fan Lin
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 10%
Papers in
-
- Genomics, phytochemicals, and oxidative stress 9
- Epidemiology 16
- Autophagy in Disease and Therapy 16
- Co-authors
- Yi‐Chia Lin (32 shared papers)Kuang‐Yu Chou (31 shared papers)Te‐Fu Tsai (31 shared papers)Hung‐En Chen (29 shared papers)Thomas I‐Sheng Hwang (25 shared papers)Thomas I.S. Hwang (9 shared papers)Yi‐Hsuan Lin (3 shared papers)Po‐Chun Chen (5 shared papers)
- Journals
- The Journal of Urology (5 papers)Drug Design Development and Therapy (3 papers)Environmental Toxicology (2 papers)International Journal of Molecular Sciences (2 papers)The American Journal of Chinese Medicine (2 papers)
- Partner nations
- TaiwanUnited States
In The Last Decade
Ji‐Fan Lin
44 papers receiving 980 citations
Peers
Comparison fields: 5 of 98
- Cancer Research 223
- Geriatrics and Gerontology 31
- Epidemiology 283
- Physiology 37
- Molecular Biology 487
Countries citing papers authored by Ji‐Fan Lin
This map shows the geographic impact of Ji‐Fan Lin'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 Ji‐Fan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji‐Fan Lin more than expected).
Fields of papers citing papers by Ji‐Fan Lin
This network shows the impact of papers produced by Ji‐Fan Lin. 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 Ji‐Fan Lin. The network helps show where Ji‐Fan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji‐Fan Lin, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 100 | |
| 2 | 2017 | 93 | |
| 3 | 2016 | 73 | |
| 4 | 2012 | 68 | |
| 5 | 2013 | 53 | |
| 6 | 2015 | 49 | |
| 7 | 2019 | 46 | |
| 8 | 2018 | 46 | |
| 9 | 2011 | 41 | |
| 10 | 2017 | 33 | |
| 11 | 2011 | 32 | |
| 12 | 2019 | 31 | |
| 13 | 2014 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2017 | 25 | |
| 16 | 2016 | 24 | |
| 17 | 2022 | 23 | |
| 18 | 2016 | 21 | |
| 19 | 2019 | 20 | |
| 20 | 2017 | 19 |
About Ji‐Fan Lin
Ji‐Fan Lin is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 987 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (16 papers), Genomics, phytochemicals, and oxidative stress (9 papers), MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (6 papers), Bone health and treatments (4 papers), Ferroptosis and cancer prognosis (3 papers), Advanced Glycation End Products research (3 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Cancer Research (223 citations), Geriatrics and Gerontology (31 citations), Epidemiology (283 citations), Physiology (37 citations) and Molecular Biology (487 citations). Ji‐Fan Lin has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yi‐Chia Lin, Kuang‐Yu Chou, Te‐Fu Tsai, Hung‐En Chen, Thomas I‐Sheng Hwang, Thomas I.S. Hwang, Yi‐Hsuan Lin, Po‐Chun Chen, Gon‐Ann Lee and Hsun‐Hsien Chang. Their work appears in journals such as The Journal of Urology, Drug Design Development and Therapy, Environmental Toxicology, International Journal of Molecular Sciences and The American Journal of Chinese 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.