Yinghui Li
- Immunology top 5%
- Immunotherapy and Immune Responses 6
- Molecular Biology top 5%
- RNA modifications and cancer 7
- Ubiquitin and proteasome pathways 5
- Cancer Research top 5%
- NF-κB Signaling Pathways 8
- Aging top 10%
- Endocrinology top 5%
- Vibrio bacteria research studies 7
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- Salmonella and Campylobacter epidemiology 9
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- Telomeres, Telomerase, and Senescence 7
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- Cancer Research and Treatments 6
- Co-authors
- Vinay TergaonkarSven PetterssonHui ChengA S FauciDrew WeissmanJan M. OrensteinMert B. OzturkYulong Yin
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Yinghui Li
108 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 138
- Immunology 464
- Molecular Biology 1.5k
- Cancer Research 315
- Aging 36
- Endocrinology 101
Countries citing papers authored by Yinghui Li
This map shows the geographic impact of Yinghui 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 Yinghui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinghui Li more than expected).
Fields of papers citing papers by Yinghui Li
This network shows the impact of papers produced by Yinghui 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 Yinghui Li. The network helps show where Yinghui Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yinghui 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 37 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 36 | |
| 10 | 2021 | 12 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 1 | |
| 13 | Genomics-Based Crop Germplasm Research: Advances and Perspectives | 2015 | 12 |
| 14 | 2015 | 74 | |
| 15 | Study on Tourism Commercialization of Fenghuang Ancient Town | 2012 | 2 |
| 16 | 2012 | 149 | |
| 17 | 2006 | 1 | |
| 18 | Construction of the HBV-TR recombinant adenovirus vector | 2004 | 1 |
| 19 | Application of Orthogonal Design in Tissue Culture of Nematanthus glabra | 2001 | 3 |
| 20 | An Insect-Resistant Transgenic Cabbage Plant with Cowpea Trypsin Inhibitor(CpTI) Gene | 1997 | 4 |
About Yinghui Li
Yinghui Li is a scholar working on Endocrinology, Microbiology and Molecular Medicine, having authored 116 papers that have together received 2.6k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (9 papers), NF-κB Signaling Pathways (8 papers), RNA modifications and cancer (7 papers), Vibrio bacteria research studies (7 papers), Telomeres, Telomerase, and Senescence (7 papers), Cancer Research and Treatments (6 papers), Immunotherapy and Immune Responses (6 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Immunology (464 citations), Molecular Biology (1.5k citations) and Cancer Research (315 citations). Yinghui Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Vinay Tergaonkar, Sven Pettersson, Hui Cheng, A S Fauci, Drew Weissman, Jan M. Orenstein, Vinay Tergaonkar, Mert B. Ozturk, Yulong Yin and A. O. Oso. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.