Jingwei Lin
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Cancer, Hypoxia, and Metabolism 3
- Cancer-related molecular mechanisms research 2
- Surgery 5
- Esophageal Cancer Research and Treatment 4
- Co-authors
- Howard Burkom (1 shared paper)A.B. Feldman (1 shared paper)Yevgeniy Elbert (1 shared paper)Jianbo Lin (3 shared papers)Cheng-Yen Chuang (3 shared papers)Viggo Andreasen (1 shared paper)Minglian Qiu (2 shared papers)Min‐Shu Hsieh (1 shared paper)
- Journals
- Growth Factors (2 papers)BMC Medical Informatics and Decision Making (2 papers)Scientific Reports (2 papers)Frontiers in Genetics (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Jingwei Lin
29 papers receiving 364 citations
Peers
Comparison fields: 5 of 93
- Modeling and Simulation 17
- Otorhinolaryngology 13
- Cancer Research 36
- Pulmonary and Respiratory Medicine 72
- Oncology 49
Countries citing papers authored by Jingwei Lin
This map shows the geographic impact of Jingwei 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 Jingwei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingwei Lin more than expected).
Fields of papers citing papers by Jingwei Lin
This network shows the impact of papers produced by Jingwei 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 Jingwei Lin. The network helps show where Jingwei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingwei 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 47 | |
| 2 | 2004 | 46 | |
| 3 | 2019 | 31 | |
| 4 | 2020 | 25 | |
| 5 | 2024 | 23 | |
| 6 | 2017 | 23 | |
| 7 | 2016 | 19 | |
| 8 | A model of influenza a drift evolution | 1996 | 18 |
| 9 | 2015 | 18 | |
| 10 | 2022 | 16 | |
| 11 | 2020 | 16 | |
| 12 | 2016 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2019 | 8 | |
| 17 | 2017 | 6 | |
| 18 | 2012 | 5 | |
| 19 | 2022 | 3 | |
| 20 | 2019 | 3 |
About Jingwei Lin
Jingwei Lin is a scholar working on Cancer Research, Surgery, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering and Oncology, having authored 31 papers that have together received 373 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Prostate Cancer Treatment and Research (2 papers), Lung Cancer Research Studies (2 papers), Metamaterials and Metasurfaces Applications (2 papers), Gastric Cancer Management and Outcomes (2 papers), Cancer-related molecular mechanisms research (2 papers) and Head and Neck Cancer Studies (2 papers). The work is most often cited by research in Modeling and Simulation (17 citations), Otorhinolaryngology (13 citations), Cancer Research (36 citations), Pulmonary and Respiratory Medicine (72 citations) and Oncology (49 citations). Jingwei Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Howard Burkom, A.B. Feldman, Yevgeniy Elbert, Jianbo Lin, Cheng-Yen Chuang, Viggo Andreasen, Minglian Qiu, Min‐Shu Hsieh, Te‐Jen Su and Jin‐Shing Chen. Their work appears in journals such as Growth Factors, BMC Medical Informatics and Decision Making, Scientific Reports, Frontiers in Genetics and Cancer Epidemiology Biomarkers & Prevention.
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.