Shaoying Li
Impact in
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 93
- Genetics 70
- Chronic Lymphocytic Leukemia Research 55
- Myeloproliferative Neoplasms: Diagnosis and Treatment 13
- Co-authors
- L. Jeffrey Medeiros (119 shared papers)C. Cameron Yin (72 shared papers)Pei Lin (40 shared papers)Guilin Tang (75 shared papers)Roberto N. Miranda (37 shared papers)Joseph D. Khoury (30 shared papers)Jie Xu (40 shared papers)Shimin Hu (41 shared papers)
- Journals
- Modern Pathology (25 papers)Human Pathology (21 papers)Blood (14 papers)The American Journal of Surgical Pathology (11 papers)American Journal of Clinical Pathology (7 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Shaoying Li
202 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 108
- Pathology and Forensic Medicine 1.6k
- Genetics 888
- Oncology 1.1k
- Hematology 439
- Dermatology 262
Countries citing papers authored by Shaoying Li
This map shows the geographic impact of Shaoying Li'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 Shaoying Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoying Li more than expected).
Fields of papers citing papers by Shaoying Li
This network shows the impact of papers produced by Shaoying Li. 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 Shaoying Li. The network helps show where Shaoying Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoying Li, 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 210 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 196 | |
| 2 | 2017 | 171 | |
| 3 | 2012 | 148 | |
| 4 | 2015 | 137 | |
| 5 | 2013 | 96 | |
| 6 | 2004 | 75 | |
| 7 | 2015 | 74 | |
| 8 | 2015 | 70 | |
| 9 | 2016 | 68 | |
| 10 | 2013 | 67 | |
| 11 | 2014 | 60 | |
| 12 | 2017 | 60 | |
| 13 | 2016 | 59 | |
| 14 | 2020 | 59 | |
| 15 | 2019 | 57 | |
| 16 | 2015 | 46 | |
| 17 | 2017 | 46 | |
| 18 | 2006 | 45 | |
| 19 | 2015 | 45 | |
| 20 | 2020 | 41 |
About Shaoying Li
Shaoying Li is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Hematology and Molecular Biology, having authored 210 papers that have together received 3.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (93 papers), Chronic Lymphocytic Leukemia Research (55 papers), Viral-associated cancers and disorders (35 papers), Acute Myeloid Leukemia Research (34 papers), CNS Lymphoma Diagnosis and Treatment (17 papers), Cutaneous lymphoproliferative disorders research (16 papers), Chronic Myeloid Leukemia Treatments (14 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.6k citations), Genetics (888 citations), Oncology (1.1k citations), Hematology (439 citations) and Dermatology (262 citations). Shaoying Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include L. Jeffrey Medeiros, C. Cameron Yin, Pei Lin, Guilin Tang, Roberto N. Miranda, Joseph D. Khoury, Jie Xu, Shimin Hu, Sa A. Wang and Wei Wang. Their work appears in journals such as Modern Pathology, Human Pathology, Blood, The American Journal of Surgical Pathology and American Journal of Clinical Pathology.
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.