Yingchun Li
- Oncology top 10%
- Cancer-related Molecular Pathways 4
- CAR-T cell therapy research 4
- Obstetrics and Gynecology top 10%
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- Retinoids in leukemia and cellular processes 3
- Sphingolipid Metabolism and Signaling 3
- Toxicology top 10%
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- Acute Myeloid Leukemia Research 4
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- interferon and immune responses 3
- Immune Cell Function and Interaction 3
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- Gastric Cancer Management and Outcomes 3
- Co-authors
- Carol PrivesZhuogang LiuYan ZhuMasha V. PoyurovskyXavier JacqJoachim StahlHuihan WangKun Yao
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (2 papers)Blood (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Yingchun Li
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 110
- Oncology 390
- Obstetrics and Gynecology 78
- Cancer Research 118
- Molecular Biology 487
- Toxicology 20
Countries citing papers authored by Yingchun Li
This map shows the geographic impact of Yingchun 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 Yingchun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingchun Li more than expected).
Fields of papers citing papers by Yingchun Li
This network shows the impact of papers produced by Yingchun 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 Yingchun Li. The network helps show where Yingchun Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yingchun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 20 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 27 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 3 | |
| 9 | 2018 | 20 | |
| 10 | 2017 | 10 | |
| 11 | 2016 | 12 | |
| 12 | 2015 | 2 | |
| 13 | 2015 | 8 | |
| 14 | 2013 | 38 | |
| 15 | 2010 | 39 | |
| 16 | 2009 | 37 | |
| 17 | 2009 | 66 | |
| 18 | 2004 | 25 | |
| 19 | Alimentary Tract : Increased Expression of Toll-Like Receptor-4 in Helicobacter pylori Infected Gastric Mucosa | 2003 | 2 |
| 20 | Relationship between Meteorological Conditions and Occurrence of Cotton Aphid in Cotton Field in the Southern and Eastern Xinjiang | 2003 | 2 |
About Yingchun Li
Yingchun Li is a scholar working on Oncology, Neuropsychology and Physiological Psychology and Toxicology, having authored 72 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Acute Myeloid Leukemia Research (4 papers), CAR-T cell therapy research (4 papers), interferon and immune responses (3 papers), Retinoids in leukemia and cellular processes (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Gastric Cancer Management and Outcomes (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Oncology (390 citations), Obstetrics and Gynecology (78 citations) and Cancer Research (118 citations). Yingchun Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Carol Prives, Zhuogang Liu, Yan Zhu, Masha V. Poyurovsky, Xavier Jacq, Joachim Stahl, Huihan Wang, Kun Yao, Melissa J. Peart and Maria Lokshin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Blood.
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.