Li Su
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
-
- DNA Repair Mechanisms 5
- RNA Research and Splicing 4
- Co-authors
- Brian Z. Ring (9 shared papers)Lingyun Feng (7 shared papers)B Vogelstein (1 shared paper)Karl A. Johnson (1 shared paper)K. W. Kinzler (1 shared paper)David E. Hill (1 shared paper)K Smith (1 shared paper)Nagahiro Minato (7 shared papers)
- Journals
- PLoS ONE (5 papers)Oncogene (3 papers)Heliyon (2 papers)Journal of Translational Medicine (2 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Li Su
79 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 275
- Oncology 356
- Pathology and Forensic Medicine 213
- Water Science and Technology 185
- Molecular Biology 794
Countries citing papers authored by Li Su
This map shows the geographic impact of Li Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Su more than expected).
Fields of papers citing papers by Li Su
This network shows the impact of papers produced by Li Su. 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 Su. The network helps show where Li Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Su, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 169 | |
| 2 | Association between wild type and mutant APC gene products. | 1993 | 156 |
| 3 | 2019 | 101 | |
| 4 | 2020 | 84 | |
| 5 | 2018 | 80 | |
| 6 | 2003 | 80 | |
| 7 | 2017 | 75 | |
| 8 | 2016 | 71 | |
| 9 | 2014 | 64 | |
| 10 | 2000 | 61 | |
| 11 | 2019 | 57 | |
| 12 | 2006 | 54 | |
| 13 | 2019 | 44 | |
| 14 | 2012 | 42 | |
| 15 | 2020 | 41 | |
| 16 | 2014 | 38 | |
| 17 | 2021 | 37 | |
| 18 | Inhibition of cancer cell growth by BRCA2. | 2002 | 37 |
| 19 | 2009 | 35 | |
| 20 | 2007 | 34 |
About Li Su
Li Su is a scholar working on Molecular Biology, Cancer Research, Oncology, Biomedical Engineering and Artificial Intelligence, having authored 85 papers that have together received 2.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Cell Adhesion Molecules Research (5 papers), Cryptography and Data Security (4 papers), RNA Research and Splicing (4 papers), Cancer-related Molecular Pathways (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Catalysts for Methane Reforming (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Cancer Research (275 citations), Oncology (356 citations), Pathology and Forensic Medicine (213 citations), Water Science and Technology (185 citations) and Molecular Biology (794 citations). Li Su has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Brian Z. Ring, Lingyun Feng, B Vogelstein, Karl A. Johnson, K. W. Kinzler, David E. Hill, K Smith, Nagahiro Minato, Yan Wang and Lijun Jing. Their work appears in journals such as PLoS ONE, Oncogene, Heliyon, Journal of Translational Medicine and Cancer Research.
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.