Ying Lin
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 2%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in ⓘ
-
- Circular RNAs in diseases 12
- Oncology 70
- Cancer Immunotherapy and Biomarkers 10
- Cancer Treatment and Pharmacology 9
- Co-authors
- Steven M. Dubinett (16 shared papers)Sherven Sharma (16 shared papers)Chunxiang Zhang (4 shared papers)Xiaojun Liu (4 shared papers)Yunhui Cheng (4 shared papers)Jian Yang (4 shared papers)Mariam Dohadwala (12 shared papers)Jie Luo (11 shared papers)
- Journals
- Journal of Clinical Oncology (11 papers)Cancer Research (9 papers)Cancer Letters (6 papers)Journal of Biological Chemistry (4 papers)The Journal of Immunology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ying Lin
210 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Cancer Research 2.3k
- Immunology 1.5k
- Oncology 1.8k
- Pharmacology 1.0k
- Molecular Biology 3.5k
Countries citing papers authored by Ying Lin
This map shows the geographic impact of Ying 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 Ying Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Lin more than expected).
Fields of papers citing papers by Ying Lin
This network shows the impact of papers produced by Ying 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 Ying Lin. The network helps show where Ying Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 229 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MicroRNA-145, a Novel Smooth Muscle Cell Phenotypic Marker and Modulator, Controls Vascular Neointimal Lesion Formation Hit paper breakdown → | 2009 | 549 |
| 2 | 2005 | 464 | |
| 3 | 2009 | 453 | |
| 4 | 2000 | 397 | |
| 5 | 2009 | 319 | |
| 6 | 2006 | 230 | |
| 7 | 2002 | 216 | |
| 8 | 2019 | 212 | |
| 9 | 2009 | 202 | |
| 10 | 2001 | 195 | |
| 11 | 1999 | 188 | |
| 12 | Tumor cyclooxygenase 2-dependent suppression of dendritic cell function. | 2003 | 188 |
| 13 | 2001 | 184 | |
| 14 | 2004 | 174 | |
| 15 | 2008 | 121 | |
| 16 | 2003 | 117 | |
| 17 | 2004 | 110 | |
| 18 | 2007 | 109 | |
| 19 | 2020 | 100 | |
| 20 | 2000 | 99 |
About Ying Lin
Ying Lin is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 229 papers that have together received 7.8k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (19 papers), MicroRNA in disease regulation (17 papers), Breast Cancer Treatment Studies (15 papers), Circular RNAs in diseases (12 papers), Cancer Immunotherapy and Biomarkers (10 papers), Inflammatory mediators and NSAID effects (10 papers), Cancer Treatment and Pharmacology (9 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Cancer Research (2.3k citations), Immunology (1.5k citations), Oncology (1.8k citations), Pharmacology (1.0k citations) and Molecular Biology (3.5k citations). Ying Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Steven M. Dubinett, Sherven Sharma, Chunxiang Zhang, Xiaojun Liu, Yunhui Cheng, Jian Yang, Mariam Dohadwala, Jie Luo, Shuo Zhang and Ruo‐Pan Huang. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Cancer Letters, Journal of Biological Chemistry and The Journal of 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.