Yin Li
- Molecular Biology top 5%
- Oncology top 2%
- Immunology top 2%
- Cancer Research top 2%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Robert D. SchreiberJ. Michael WhiteCora D. ArthurDonald KüfeDavid V. GoeddelXiao-kun ZhangSurender KharbandaKathleen C. F. Sheehan
- Topics
- Epigenetics and DNA Methylation (12 papers)Cancer Cells and Metastasis (10 papers)RNA modifications and cancer (7 papers)
- Cited by
- Cancer ResearchImmunologyOncology
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yin Li
101 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 2.4k
- Oncology 1.1k
- Immunology 1.0k
- Cancer Research 1.0k
- Cellular and Molecular Neuroscience 446
Countries citing papers authored by Yin Li
This map shows the geographic impact of Yin 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 Yin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin Li more than expected).
Fields of papers citing papers by Yin Li
This network shows the impact of papers produced by Yin 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 Yin Li. The network helps show where Yin Li may publish in the future.
Co-authorship network of co-authors of Yin Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yin Li. A scholar is included among the top collaborators of Yin Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yin Li. Yin Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 41 | |
| 3 | 15 | |
| 4 | 18 | |
| 5 | 17 | |
| 6 | 1 | |
| 7 | 88 | |
| 8 | 13 | |
| 9 | 5 | |
| 10 | 51 | |
| 11 | Functional deficits precede structural lesions in a mouse model of diabetic retinopathy induced by high-fat diet-feeding | 1 |
| 12 | 22 | |
| 13 | 20 | |
| 14 | 125 | |
| 15 | The expression of tumor-infiltrating lymphocytes and its relationship with prognosis of esophageal carcinoma. | 2 |
| 16 | The psychological problems in the wounded of Wenchuan earthquake in Sichuan. | 2 |
| 17 | The pathogenesis of the alcohol-induced osteonecrosis and the preventive effect of puerarin | 0 |
| 18 | 199 | |
| 19 | 25 | |
| 20 | 288 |
About Yin Li
Yin Li is a scholar working on Cancer Research, Endocrine and Autonomic Systems and Aging, having authored 104 papers that have together received 4.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Cancer Cells and Metastasis (10 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Cancer Research (1.0k citations), Immunology (1.0k citations) and Oncology (1.1k citations). Yin Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Robert D. Schreiber, J. Michael White, Cora D. Arthur, Donald Küfe, David V. Goeddel, Xiao-kun Zhang, Surender Kharbanda, Kathleen C. F. Sheehan, Kathleen L. King and Diane Pennica. Their work appears in journals such as Science, Cell 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.