Weichen Lin
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 3
-
- Data-Driven Disease Surveillance 1
- Autophagy in Disease and Therapy 1
- Co-authors
- Qing Geng (8 shared papers)Ruyuan He (8 shared papers)Heng Meng (8 shared papers)Wenyang Jiang (6 shared papers)Zilong Lu (7 shared papers)Xiaokang Shen (6 shared papers)Tao Fan (4 shared papers)Rui Xiong (5 shared papers)
- Journals
- Cell Death Discovery (1 paper)Journal of Clinical Virology (1 paper)Life Sciences (1 paper)QJM (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Weichen Lin
13 papers receiving 686 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Infectious Diseases 355
- Neurology 186
- Cancer Research 91
- Health Informatics 7
- Critical Care and Intensive Care Medicine 26
Countries citing papers authored by Weichen Lin
This map shows the geographic impact of Weichen 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 Weichen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weichen Lin more than expected).
Fields of papers citing papers by Weichen Lin
This network shows the impact of papers produced by Weichen 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 Weichen Lin. The network helps show where Weichen Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Weichen 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 | 2020 | 182 | |
| 2 | Itaconate inhibits ferroptosis of macrophage via Nrf2 pathways against sepsis-induced acute lung injury Hit paper breakdown → | 2022 | 177 |
| 3 | 2020 | 170 | |
| 4 | 2022 | 91 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 10 | |
| 8 | 2014 | 9 | |
| 9 | 2020 | 6 | |
| 10 | 2011 | 3 | |
| 11 | 2014 | 3 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 1 |
About Weichen Lin
Weichen Lin is a scholar working on Infectious Diseases, Epidemiology, Neurology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 13 papers that have together received 694 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (4 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 diagnosis using AI (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), MicroRNA in disease regulation (2 papers), Data-Driven Disease Surveillance (1 paper), Lung Cancer Diagnosis and Treatment (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Infectious Diseases (355 citations), Neurology (186 citations), Cancer Research (91 citations), Health Informatics (7 citations) and Critical Care and Intensive Care Medicine (26 citations). Weichen Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Qing Geng, Ruyuan He, Heng Meng, Wenyang Jiang, Zilong Lu, Xiaokang Shen, Tao Fan, Rui Xiong, Bo Hao and Haojie Feng. Their work appears in journals such as Cell Death Discovery, Journal of Clinical Virology, Life Sciences, QJM and Frontiers in Immunology.
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.