Li Wang
Impact in
- Cancer Research top 0.1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- Epigenetics and DNA Methylation
- Advanced biosensing and bioanalysis techniques
- RNA Research and Splicing
Papers in
- Cancer Research 218
- Cancer-related molecular mechanisms research 125
- MicroRNA in disease regulation 124
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- Lymphoma Diagnosis and Treatment 76
- Co-authors
- Robert C. MacDonaldRumiana KoynovaGuisheng SongYuxia ZhangZhihong YangBailong XiaoQiancheng ZhaoLunquan Sun
- Journals
- Blood (15 papers)Oncotarget (15 papers)PLoS ONE (12 papers)Scientific Reports (11 papers)Journal of Biological Chemistry (10 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Li Wang
673 papers receiving 15.1k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Cancer Research 5.0k
- Molecular Biology 9.5k
- Oncology 2.2k
- Pathology and Forensic Medicine 1.2k
- Physiology 1.6k
Countries citing papers authored by Li Wang
This map shows the geographic impact of Li Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Wang more than expected).
Fields of papers citing papers by Li Wang
This network shows the impact of papers produced by Li Wang. 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 Wang. The network helps show where Li Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 30 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 2 | |
| 16 | A Novel Inflammatory-Nutritional Prognostic Scoring System for Patients with Early-Stage Breast Cancer | 2022 | 20 |
| 17 | 2021 | 10 | |
| 18 | 2020 | 16 | |
| 19 | 2020 | 1 | |
| 20 | 2016 | 21 |
About Li Wang
Li Wang is a scholar working on Cancer Research, Pathology and Forensic Medicine, Molecular Biology, Hematology and Oncology, having authored 717 papers that have together received 15.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (125 papers), MicroRNA in disease regulation (124 papers), RNA modifications and cancer (91 papers), Lymphoma Diagnosis and Treatment (76 papers), Circular RNAs in diseases (71 papers), RNA Interference and Gene Delivery (55 papers), Epigenetics and DNA Methylation (49 papers) and Acute Myeloid Leukemia Research (37 papers). The work is most often cited by research in Cancer Research (5.0k citations), Molecular Biology (9.5k citations), Oncology (2.2k citations), Pathology and Forensic Medicine (1.2k citations) and Physiology (1.6k citations). Li Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Robert C. MacDonald, Rumiana Koynova, Guisheng Song, Yuxia Zhang, Zhihong Yang, Bailong Xiao, Qiancheng Zhao, Lunquan Sun, Jianyong Li and Lei Fan. Their work appears in journals such as Blood, Oncotarget, PLoS ONE, Scientific Reports and Journal of Biological Chemistry.
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.