Lin Cui
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
-
- Angiogenesis and VEGF in Cancer 5
- Oncology 25
- Cancer Cells and Metastasis 9
- Pancreatic and Hepatic Oncology Research 9
- CAR-T cell therapy research 4
- Co-authors
- Masao Tanaka (32 shared papers)Kenoki Ohuchida (31 shared papers)Kazuhiro Mizumoto (30 shared papers)Naoki Ikenaga (9 shared papers)Hayato Fujita (10 shared papers)Kohei Nakata (8 shared papers)Tomoyuki Shirai (10 shared papers)Tadashi Kayashima (5 shared papers)
- Journals
- Cancer Letters (6 papers)Cancer Science (5 papers)PLoS ONE (4 papers)Gastroenterology (3 papers)Surgery (2 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Lin Cui
80 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 591
- Oncology 778
- Immunology 290
- Molecular Biology 982
- Sensory Systems 43
Countries citing papers authored by Lin Cui
This map shows the geographic impact of Lin Cui'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 Lin Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Cui more than expected).
Fields of papers citing papers by Lin Cui
This network shows the impact of papers produced by Lin Cui. 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 Lin Cui. The network helps show where Lin Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Cui, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 176 | |
| 2 | 2010 | 152 | |
| 3 | 2011 | 126 | |
| 4 | 2017 | 94 | |
| 5 | 2012 | 93 | |
| 6 | 2010 | 88 | |
| 7 | 2000 | 78 | |
| 8 | 2017 | 78 | |
| 9 | 2009 | 65 | |
| 10 | 2010 | 60 | |
| 11 | 2007 | 57 | |
| 12 | 2000 | 53 | |
| 13 | 2016 | 46 | |
| 14 | 1999 | 45 | |
| 15 | 2012 | 44 | |
| 16 | 2012 | 42 | |
| 17 | 2015 | 39 | |
| 18 | 2024 | 37 | |
| 19 | Validation of treatment efficacy of a computer-assisted program for breast cancer patients receiving postoperative adjuvant chemotherapy. | 2010 | 37 |
| 20 | 2020 | 37 |
About Lin Cui
Lin Cui is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 81 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Pancreatic and Hepatic Oncology Research (9 papers), Virus-based gene therapy research (7 papers), Angiogenesis and VEGF in Cancer (5 papers), MicroRNA in disease regulation (5 papers), Prostate Cancer Treatment and Research (4 papers), CAR-T cell therapy research (4 papers) and Carcinogens and Genotoxicity Assessment (4 papers). The work is most often cited by research in Cancer Research (591 citations), Oncology (778 citations), Immunology (290 citations), Molecular Biology (982 citations) and Sensory Systems (43 citations). Lin Cui has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Masao Tanaka, Kenoki Ohuchida, Kazuhiro Mizumoto, Naoki Ikenaga, Hayato Fujita, Kohei Nakata, Tomoyuki Shirai, Tadashi Kayashima, Shingo Kozono and Taiki Moriyama. Their work appears in journals such as Cancer Letters, Cancer Science, PLoS ONE, Gastroenterology and Surgery.
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.