Yunqing Lin
- Molecular Biology
- Organic Chemistry top 5%
- Oncology
- Cancer Research top 10%
- Immunology
- Co-authors
- Scott A. SnyderAlexandros L. ZografosJun TangVanessa M. Hubbard-LuceyJeffrey P. HodgeJia Xin YuSteven P. BreazzanoAudrey G. Ross
- Topics
- Bioactive natural compounds (5 papers)RNA modifications and cancer (5 papers)CAR-T cell therapy research (3 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchAngewandte Chemie International Edition
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yunqing Lin
19 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 467
- Organic Chemistry 427
- Oncology 217
- Cancer Research 202
- Immunology 158
Countries citing papers authored by Yunqing Lin
This map shows the geographic impact of Yunqing 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 Yunqing Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunqing Lin more than expected).
Fields of papers citing papers by Yunqing Lin
This network shows the impact of papers produced by Yunqing 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 Yunqing Lin. The network helps show where Yunqing Lin may publish in the future.
Co-authorship network of co-authors of Yunqing Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Yunqing Lin. A scholar is included among the top collaborators of Yunqing Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yunqing Lin. Yunqing Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | 24 | |
| 8 | 6 | |
| 9 | 17 | |
| 10 | 170 | |
| 11 | 7 | |
| 12 | The clinical trial landscape for PD1/PDL1 immune checkpoint inhibitorsbreakdown → | 301 |
| 13 | 29 | |
| 14 | 44 | |
| 15 | 16 | |
| 16 | 234 | |
| 17 | 150 | |
| 18 | 36 | |
| 19 | [Study on the epidemiology and etiologic agent of Dengue fever outbreaks in Fuzhou in 2004]. | 3 |
| 20 | 9 |
About Yunqing Lin
Yunqing Lin is a scholar working on Geriatrics and Gerontology, Toxicology and Developmental Neuroscience, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioactive natural compounds (5 papers), RNA modifications and cancer (5 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Geriatrics and Gerontology (83 citations), Organic Chemistry (427 citations) and Cancer Research (202 citations). Yunqing Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Scott A. Snyder, Alexandros L. Zografos, Jun Tang, Vanessa M. Hubbard-Lucey, Jeffrey P. Hodge, Jia Xin Yu, Steven P. Breazzano, Audrey G. Ross, Yuncong Zhang and Yan Huang. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.
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.