Li Su
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Oncology top 2%
- Cancer-related Molecular Pathways
Papers in
-
- RNA modifications and cancer 15
- Epigenetics and DNA Methylation 10
- Oncology 44
- Co-authors
- David C. Christiani (114 shared papers)Geoffrey Liu (31 shared papers)G H Enders (1 shared paper)Claude Gorka (1 shared paper)Chia‐Ling Wu (1 shared paper)Li‐Huei Tsai (1 shared paper)Matthew Meyerson (1 shared paper)Ed Harlow (1 shared paper)
- Journals
- International Journal of Cancer (10 papers)PLoS ONE (7 papers)Journal of Clinical Oncology (7 papers)Carcinogenesis (7 papers)Cancer Epidemiology Biomarkers & Prevention (6 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Li Su
243 papers receiving 6.3k citations
Li Su's Hit Papers
Peers
Comparison fields: 5 of 157
- Cancer Research 798
- Oncology 1.3k
- Pathology and Forensic Medicine 551
- Cardiology and Cardiovascular Medicine 628
- Molecular Biology 2.0k
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 250 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A family of human cdc2‐related protein kinases. Hit paper breakdown → | 1992 | 791 |
| 2 | 2014 | 168 | |
| 3 | 2015 | 167 | |
| 4 | 2007 | 160 | |
| 5 | 2014 | 146 | |
| 6 | 2010 | 142 | |
| 7 | 2012 | 106 | |
| 8 | 2008 | 101 | |
| 9 | 2010 | 93 | |
| 10 | 2009 | 92 | |
| 11 | 2004 | 87 | |
| 12 | 2007 | 85 | |
| 13 | 2009 | 85 | |
| 14 | Differential association of the codon 72 p53 and GSTM1 polymorphisms on histological subtype of non-small cell lung carcinoma. | 2001 | 84 |
| 15 | 2013 | 83 | |
| 16 | 2011 | 76 | |
| 17 | 2008 | 70 | |
| 18 | 2008 | 69 | |
| 19 | 2005 | 68 | |
| 20 | 2010 | 64 |
About Li Su
Li Su is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery, having authored 250 papers that have together received 6.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (15 papers), Esophageal Cancer Research and Treatment (13 papers), Atrial Fibrillation Management and Outcomes (12 papers), Epigenetics and DNA Methylation (10 papers), Lung Cancer Treatments and Mutations (9 papers), Cancer-related molecular mechanisms research (8 papers), Heavy Metal Exposure and Toxicity (8 papers) and Lymphoma Diagnosis and Treatment (8 papers). The work is most often cited by research in Cancer Research (798 citations), Oncology (1.3k citations), Pathology and Forensic Medicine (551 citations), Cardiology and Cardiovascular Medicine (628 citations) and Molecular Biology (2.0k citations). Li Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include David C. Christiani, Geoffrey Liu, G H Enders, Claude Gorka, Chia‐Ling Wu, Li‐Huei Tsai, Matthew Meyerson, Ed Harlow, Kofi Asomaning and Rihong Zhai. Their work appears in journals such as International Journal of Cancer, PLoS ONE, Journal of Clinical Oncology, Carcinogenesis and Cancer Epidemiology Biomarkers & Prevention.
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.