Ding-Yen Lin
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Retinoids in leukemia and cellular processes
- RNA modifications and cancer
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
Papers in
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- Ubiquitin and proteasome pathways 7
- Genomics and Chromatin Dynamics 4
- Nuclear Structure and Function 2
- RNA modifications and cancer 2
- Cancer-related gene regulation 2
- Retinoids in leukemia and cellular processes 2
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- NF-κB Signaling Pathways 3
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Hsiu-Ming Shih (4 shared papers)Che‐Chang Chang (3 shared papers)Gerd G. Maul (2 shared papers)Yen‐Sung Huang (2 shared papers)Kun-Sang Chang (1 shared paper)Chun-Chen Ho (1 shared paper)Yun-Ching Chen (1 shared paper)Ting-Ting Chao (1 shared paper)
- Journals
- Journal of Biomedical Science (2 papers)International Journal of Molecular Sciences (2 papers)PLoS ONE (2 papers)Proceedings of the National Academy of Sciences (1 paper)Cancer Letters (1 paper)
- Partner nations
- TaiwanUnited StatesFrance
In The Last Decade
Ding-Yen Lin
15 papers receiving 841 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 702
- Cancer Research 115
- Parasitology 42
- Oncology 170
- Genetics 138
Countries citing papers authored by Ding-Yen Lin
This map shows the geographic impact of Ding-Yen 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 Ding-Yen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding-Yen Lin more than expected).
Fields of papers citing papers by Ding-Yen Lin
This network shows the impact of papers produced by Ding-Yen 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 Ding-Yen Lin. The network helps show where Ding-Yen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding-Yen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 348 | |
| 2 | 2005 | 98 | |
| 3 | 2004 | 95 | |
| 4 | 2005 | 91 | |
| 5 | 2015 | 43 | |
| 6 | 2015 | 39 | |
| 7 | 2017 | 38 | |
| 8 | 2019 | 23 | |
| 9 | 2013 | 22 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2015 | 8 | |
| 13 | 2019 | 8 | |
| 14 | 1999 | 7 | |
| 15 | 2016 | 4 |
About Ding-Yen Lin
Ding-Yen Lin is a scholar working on Molecular Biology, Cancer Research, Oncology, Reproductive Medicine and Surgery, having authored 15 papers that have together received 854 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Genomics and Chromatin Dynamics (4 papers), NF-κB Signaling Pathways (3 papers), Cancer, Lipids, and Metabolism (2 papers), Nuclear Structure and Function (2 papers), RNA modifications and cancer (2 papers), Cancer-related gene regulation (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Molecular Biology (702 citations), Cancer Research (115 citations), Parasitology (42 citations), Oncology (170 citations) and Genetics (138 citations). Ding-Yen Lin has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include Hsiu-Ming Shih, Che‐Chang Chang, Gerd G. Maul, Yen‐Sung Huang, Kun-Sang Chang, Chun-Chen Ho, Yun-Ching Chen, Ting-Ting Chao, Kuen‐Haur Lee and Ruey‐Hwa Chen. Their work appears in journals such as Journal of Biomedical Science, International Journal of Molecular Sciences, PLoS ONE, Proceedings of the National Academy of Sciences and Cancer Letters.
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.