Li Sui
Impact in
-
- Thyroid Disorders and Treatments
- Diet, Metabolism, and Disease
- Developmental Neuroscience top 5%
Papers in
-
- RNA modifications and cancer 8
- Co-authors
- Masaaki Tokuda (35 shared papers)Youyi Dong (32 shared papers)Mary E. Gilbert (5 shared papers)Katsuyoshi Sugimoto (14 shared papers)Bao‐Ming Li (3 shared papers)Meng Chen (6 shared papers)Dong‐Jin Qian (6 shared papers)Yasuo Watanabe (12 shared papers)
- Journals
- International Journal of Oncology (4 papers)AIP Advances (3 papers)Frontiers in Public Health (3 papers)PLoS ONE (3 papers)Building Simulation (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Li Sui
176 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 171
- Endocrinology, Diabetes and Metabolism 852
- Developmental Neuroscience 104
- Behavioral Neuroscience 83
- Cancer Research 280
- Cellular and Molecular Neuroscience 353
Countries citing papers authored by Li Sui
This map shows the geographic impact of Li Sui'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 Li Sui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Sui more than expected).
Fields of papers citing papers by Li Sui
This network shows the impact of papers produced by Li Sui. 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 Li Sui. The network helps show where Li Sui may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Sui, 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 188 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 293 | |
| 2 | 2008 | 169 | |
| 3 | 2006 | 125 | |
| 4 | 2006 | 115 | |
| 5 | 2002 | 115 | |
| 6 | 2003 | 103 | |
| 7 | 2008 | 99 | |
| 8 | Jab1 expression is associated with inverse expression of p27(kip1) and poor prognosis in epithelial ovarian tumors. | 2001 | 92 |
| 9 | 2001 | 89 | |
| 10 | 2005 | 84 | |
| 11 | 2012 | 82 | |
| 12 | 2012 | 80 | |
| 13 | 2020 | 79 | |
| 14 | 2013 | 76 | |
| 15 | 2001 | 75 | |
| 16 | 2013 | 71 | |
| 17 | 2005 | 69 | |
| 18 | 2015 | 68 | |
| 19 | 2009 | 67 | |
| 20 | 2008 | 63 |
About Li Sui
Li Sui is a scholar working on Molecular Biology, Plant Science, Insect Science, Oncology and Cellular and Molecular Neuroscience, having authored 188 papers that have together received 4.2k indexed citations. Recurring topics across this work include Entomopathogenic Microorganisms in Pest Control (18 papers), Neuroscience and Neuropharmacology Research (13 papers), Cancer-related Molecular Pathways (12 papers), Diet, Metabolism, and Disease (9 papers), RNA modifications and cancer (8 papers), Insect symbiosis and bacterial influences (7 papers), Thyroid Disorders and Treatments (6 papers) and Genetics and Neurodevelopmental Disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (852 citations), Developmental Neuroscience (104 citations), Behavioral Neuroscience (83 citations), Cancer Research (280 citations) and Cellular and Molecular Neuroscience (353 citations). Li Sui has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Masaaki Tokuda, Youyi Dong, Mary E. Gilbert, Katsuyoshi Sugimoto, Bao‐Ming Li, Meng Chen, Dong‐Jin Qian, Yasuo Watanabe, Fuminori Yamaguchi and Huijun Li. Their work appears in journals such as International Journal of Oncology, AIP Advances, Frontiers in Public Health, PLoS ONE and Building Simulation.
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.