I‐Ling Lin
Impact in
- Molecular Medicine top 5%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Oncology 11
- Co-authors
- Chien‐Chih Chiu (13 shared papers)Sheng‐Kai Hsu (7 shared papers)Kai‐Chun Cheng (4 shared papers)Yen‐Ni Teng (2 shared papers)Yih‐Fung Chen (2 shared papers)Chia‐Yang Li (2 shared papers)Yi‐Hsiung Lin (1 shared paper)Chia‐Hung Yen (1 shared paper)
- Journals
- International Journal of Molecular Sciences (5 papers)Cancer Cell International (4 papers)Cancers (2 papers)Clinical Biochemistry (2 papers)Gels (2 papers)
- Partner nations
- TaiwanUnited StatesVietnam
In The Last Decade
I‐Ling Lin
56 papers receiving 1.4k citations
I‐Ling Lin's Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Medicine 86
- Cancer Research 227
- Hepatology 82
- Molecular Biology 673
- Applied Microbiology and Biotechnology 17
Countries citing papers authored by I‐Ling Lin
This map shows the geographic impact of I‐Ling 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 I‐Ling Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Ling Lin more than expected).
Fields of papers citing papers by I‐Ling Lin
This network shows the impact of papers produced by I‐Ling 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 I‐Ling Lin. The network helps show where I‐Ling Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside I‐Ling 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inflammation-related pyroptosis, a novel programmed cell death pathway, and its crosstalk with immune therapy in cancer treatment Hit paper breakdown → | 2021 | 336 |
| 2 | 2014 | 99 | |
| 3 | 2019 | 92 | |
| 4 | 2020 | 85 | |
| 5 | 2008 | 82 | |
| 6 | 2013 | 54 | |
| 7 | 2019 | 54 | |
| 8 | 2016 | 47 | |
| 9 | 2017 | 46 | |
| 10 | 2020 | 38 | |
| 11 | 2010 | 31 | |
| 12 | 2021 | 31 | |
| 13 | 2013 | 28 | |
| 14 | 2019 | 25 | |
| 15 | 2003 | 25 | |
| 16 | 2003 | 21 | |
| 17 | 2019 | 20 | |
| 18 | 2013 | 18 | |
| 19 | 2023 | 15 | |
| 20 | 2009 | 14 |
About I‐Ling Lin
I‐Ling Lin is a scholar working on Molecular Biology, Oncology, Epidemiology, Molecular Medicine and Pharmaceutical Science, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Drug Delivery Systems (8 papers), Hydrogels: synthesis, properties, applications (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (4 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Advancements in Transdermal Drug Delivery (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Molecular Medicine (86 citations), Cancer Research (227 citations), Hepatology (82 citations), Molecular Biology (673 citations) and Applied Microbiology and Biotechnology (17 citations). I‐Ling Lin has collaborated with scholars based in Taiwan, United States and Vietnam. Frequent co-authors include Chien‐Chih Chiu, Sheng‐Kai Hsu, Kai‐Chun Cheng, Yen‐Ni Teng, Yih‐Fung Chen, Chia‐Yang Li, Yi‐Hsiung Lin, Chia‐Hung Yen, Wen‐Tsan Chang and Huimin Wang. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Cell International, Cancers, Clinical Biochemistry and Gels.
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.