Chen-Sheng Lin
- Oncology top 10%
- Surgery top 10%
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- Phytochemical and Pharmacological Studies 1
- Pharmacology top 10%
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- Genomics, phytochemicals, and oxidative stress 2
- Cell death mechanisms and regulation 1
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- SARS-CoV-2 and COVID-19 Research 1
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- Viral Infections and Immunology Research 1
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- Influenza Virus Research Studies 1
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- Phytochemicals and Antioxidant Activities 1
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- Health Systems, Economic Evaluations, Quality of Life 1
- Co-authors
- Pavlina SpiliopoulouMargaret K. CallahanRathi N. PillaiJonathan E. RosenbergDirk JaegerFilippo de BraudPatrick A. OttAlex Azrilevich
- Journals
- Journal of the American Statistical Association (1 paper)The Lancet Oncology (1 paper)Molecules (1 paper)
- Partner nations
- TaiwanUnited StatesItaly
In The Last Decade
Chen-Sheng Lin
7 papers receiving 730 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Oncology 407
- Surgery 326
- Complementary and alternative medicine 49
- Immunology 123
- Pharmacology 44
Countries citing papers authored by Chen-Sheng Lin
This map shows the geographic impact of Chen-Sheng 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 Chen-Sheng Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Sheng Lin more than expected).
Fields of papers citing papers by Chen-Sheng Lin
This network shows the impact of papers produced by Chen-Sheng 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 Chen-Sheng Lin. The network helps show where Chen-Sheng Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chen-Sheng 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 | 2019 | 3 | |
| 2 | 2019 | 125 | |
| 3 | 2018 | 11 | |
| 4 | Nivolumab monotherapy in recurrent metastatic urothelial carcinoma (CheckMate 032): a multicentre, open-label, two-stage, multi-arm, phase 1/2 trialbreakdown → | 2016 | 511 |
| 5 | 2016 | 21 | |
| 6 | 2015 | 34 | |
| 7 | 2004 | 31 |
About Chen-Sheng Lin
Chen-Sheng Lin is a scholar working on Biochemistry, Statistics and Probability and Complementary and alternative medicine, having authored 7 papers that have together received 736 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Viral Infections and Immunology Research (1 paper), Influenza Virus Research Studies (1 paper), Phytochemicals and Antioxidant Activities (1 paper), Cell death mechanisms and regulation (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Phytochemical and Pharmacological Studies (1 paper). The work is most often cited by research in Oncology (407 citations), Surgery (326 citations) and Complementary and alternative medicine (49 citations). Chen-Sheng Lin has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Pavlina Spiliopoulou, Margaret K. Callahan, Rathi N. Pillai, Jonathan E. Rosenberg, Dirk Jaeger, Filippo de Braud, Patrick A. Ott, Alex Azrilevich, Petri Bono and Dung T. Le. Their work appears in journals such as Journal of the American Statistical Association, The Lancet Oncology and Molecules.
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.