Yanlin Yu
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Neurology top 5%
- Neurofibromatosis and Schwannoma Cases
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 8
- Melanoma and MAPK Pathways 5
- Protein Tyrosine Phosphatases 3
- Oncology 9
- CAR-T cell therapy research 3
- Co-authors
- Glenn Merlino (18 shared papers)Lee J. Helman (2 shared papers)Chand Khanna (3 shared papers)Javed Khan (1 shared paper)Paul S. Meltzer (1 shared paper)A. Hari Reddi (2 shared papers)Elai Davicioni (1 shared paper)Timothy J. Triche (1 shared paper)
- Journals
- Oncogene (4 papers)iScience (2 papers)PLoS ONE (2 papers)Cancer Research (2 papers)Cells (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Yanlin Yu
32 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Immunology and Allergy 101
- Neurology 187
- Oncology 332
- Cancer Research 174
- Molecular Biology 849
Countries citing papers authored by Yanlin Yu
This map shows the geographic impact of Yanlin Yu'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 Yanlin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanlin Yu more than expected).
Fields of papers citing papers by Yanlin Yu
This network shows the impact of papers produced by Yanlin Yu. 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 Yanlin Yu. The network helps show where Yanlin Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanlin Yu, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 442 | |
| 2 | 1992 | 129 | |
| 3 | 2006 | 125 | |
| 4 | 1992 | 124 | |
| 5 | 2002 | 115 | |
| 6 | 2018 | 76 | |
| 7 | 2023 | 60 | |
| 8 | Constitutive c-Met signaling through a nonautocrine mechanism promotes metastasis in a transgenic transplantation model. | 2002 | 54 |
| 9 | 2004 | 53 | |
| 10 | 2010 | 45 | |
| 11 | 2022 | 42 | |
| 12 | 2015 | 38 | |
| 13 | 2018 | 25 | |
| 14 | 2017 | 22 | |
| 15 | 2013 | 21 | |
| 16 | 2021 | 20 | |
| 17 | 2016 | 17 | |
| 18 | 2021 | 17 | |
| 19 | 2023 | 15 | |
| 20 | 2001 | 11 |
About Yanlin Yu
Yanlin Yu is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Neurology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), Melanoma and MAPK Pathways (5 papers), Neurofibromatosis and Schwannoma Cases (4 papers), Cancer Mechanisms and Therapy (4 papers), Immunotherapy and Immune Responses (4 papers), Protein Tyrosine Phosphatases (3 papers), Immune Cell Function and Interaction (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Immunology and Allergy (101 citations), Neurology (187 citations), Oncology (332 citations), Cancer Research (174 citations) and Molecular Biology (849 citations). Yanlin Yu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Glenn Merlino, Lee J. Helman, Chand Khanna, Javed Khan, Paul S. Meltzer, A. Hari Reddi, Elai Davicioni, Timothy J. Triche, Benjamin S. Weeks and Hynda K. Kleinman. Their work appears in journals such as Oncogene, iScience, PLoS ONE, Cancer Research and Cells.
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.