Ding-Yen Lin
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Retinoids in leukemia and cellular processes
- Protein Degradation and Inhibitors
- RNA modifications and cancer
- Cancer-related gene regulation
Papers in
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- Ubiquitin and proteasome pathways 6
- Genomics and Chromatin Dynamics 3
- Retinoids in leukemia and cellular processes 2
- Cancer-related gene regulation 2
- RNA modifications and cancer 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)Yun-Ching Chen (1 shared paper)Chun-Chen Ho (1 shared paper)Kun-Sang Chang (1 shared paper)Ting-Ting Chao (1 shared paper)
- Journals
- Journal of Biomedical Science (2 papers)PLoS ONE (2 papers)International Journal of Molecular Sciences (2 papers)Biochemical and Biophysical Research Communications (1 paper)Cancer Letters (1 paper)
- Partner nations
- TaiwanUnited StatesFrance
In The Last Decade
Ding-Yen Lin
15 papers receiving 844 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 677
- Cancer Research 102
- Oncology 167
- Parasitology 39
- Genetics 132
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 | 349 | |
| 2 | 2005 | 98 | |
| 3 | 2004 | 95 | |
| 4 | 2005 | 91 | |
| 5 | 2015 | 45 | |
| 6 | 2015 | 39 | |
| 7 | 2017 | 38 | |
| 8 | 2019 | 23 | |
| 9 | 2013 | 22 | |
| 10 | 2019 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2019 | 8 | |
| 13 | 2015 | 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 857 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), NF-κB Signaling Pathways (3 papers), Genomics and Chromatin Dynamics (3 papers), Peptidase Inhibition and Analysis (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer-related gene regulation (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Biology (677 citations), Cancer Research (102 citations), Oncology (167 citations), Parasitology (39 citations) and Genetics (132 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, Yun-Ching Chen, Chun-Chen Ho, Kun-Sang Chang, Ting-Ting Chao, Ching‐Shu Suen and Kuen‐Haur Lee. Their work appears in journals such as Journal of Biomedical Science, PLoS ONE, International Journal of Molecular Sciences, Biochemical and Biophysical Research Communications 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.