Ying Lin
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
- Oncology 11
- Cancer Cells and Metastasis 4
- Pancreatic and Hepatic Oncology Research 3
- Co-authors
- Yu Zhong (4 shared papers)Leona Cohen‐Gould (1 shared paper)David J. Pisapia (1 shared paper)Richa Singhania (1 shared paper)Conor Liston (1 shared paper)Teresa A. Milner (1 shared paper)Yasumi Nakayama (1 shared paper)Howard A. Fine (1 shared paper)
- Journals
- Cancer Cell International (2 papers)Medicine (2 papers)BMC Pregnancy and Childbirth (2 papers)Neoplasia (1 paper)Annals of Palliative Medicine (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Ying Lin
58 papers receiving 1.3k citations
Ying Lin's Hit Papers
Peers
Comparison fields: 5 of 122
- Genetics 156
- Cancer Research 197
- Developmental Neuroscience 54
- Oncology 331
- Immunology 160
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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Modeling Patient-Derived Glioblastoma with Cerebral Organoids Hit paper breakdown → | 2019 | 323 |
| 2 | 2013 | 101 | |
| 3 | 2009 | 77 | |
| 4 | 2020 | 77 | |
| 5 | 2014 | 63 | |
| 6 | 2014 | 49 | |
| 7 | 2016 | 44 | |
| 8 | 2023 | 42 | |
| 9 | 2013 | 42 | |
| 10 | 2015 | 40 | |
| 11 | 2017 | 37 | |
| 12 | 2012 | 27 | |
| 13 | 2021 | 25 | |
| 14 | 2018 | 24 | |
| 15 | 2017 | 23 | |
| 16 | 2018 | 17 | |
| 17 | 2020 | 16 | |
| 18 | 2008 | 16 | |
| 19 | 2013 | 16 | |
| 20 | 2017 | 14 |
About Ying Lin
Ying Lin is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology and Pediatrics, Perinatology and Child Health, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Maternal and Perinatal Health Interventions (8 papers), Maternal and fetal healthcare (5 papers), Cancer Cells and Metastasis (4 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Pregnancy-related medical research (3 papers), Cancer-related molecular mechanisms research (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Genetics (156 citations), Cancer Research (197 citations), Developmental Neuroscience (54 citations), Oncology (331 citations) and Immunology (160 citations). Ying Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yu Zhong, Leona Cohen‐Gould, David J. Pisapia, Richa Singhania, Conor Liston, Teresa A. Milner, Yasumi Nakayama, Howard A. Fine, Stéfano M. Cirigliano and Amanda Linkous. Their work appears in journals such as Cancer Cell International, Medicine, BMC Pregnancy and Childbirth, Neoplasia and Annals of Palliative Medicine.
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.