Yating Li
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Protein Degradation and Inhibitors 3
- Hematology 12
- Multiple Myeloma Research and Treatments 7
- Acute Myeloid Leukemia Research 4
- Co-authors
- Pi‐Fang Hsu (1 shared paper)Cheng‐Ru Wu (1 shared paper)Xiao Han (11 shared papers)Yunxia Zhu (11 shared papers)Weiyan You (3 shared papers)Xiaoai Chang (8 shared papers)Xiaoyan Qu (8 shared papers)Zhengxu Sun (6 shared papers)
- Journals
- Diabetes (4 papers)Cancer Biomarkers (2 papers)Medicine (2 papers)Clinica Chimica Acta (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yating Li
28 papers receiving 405 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 116
- Industrial and Manufacturing Engineering 36
- Hematology 37
- Management Science and Operations Research 38
- Molecular Biology 187
Countries citing papers authored by Yating Li
This map shows the geographic impact of Yating 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 Yating Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yating Li more than expected).
Fields of papers citing papers by Yating Li
This network shows the impact of papers produced by Yating 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 Yating Li. The network helps show where Yating Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yating 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 88 | |
| 2 | 2021 | 74 | |
| 3 | 2013 | 67 | |
| 4 | 2019 | 36 | |
| 5 | 2018 | 28 | |
| 6 | 2022 | 17 | |
| 7 | 2016 | 17 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2016 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2025 | 2 |
About Yating Li
Yating Li is a scholar working on Molecular Biology, Hematology, Surgery, Immunology and Oncology, having authored 31 papers that have together received 407 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Multiple Myeloma Research and Treatments (7 papers), Acute Myeloid Leukemia Research (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Diabetes and associated disorders (4 papers), Protein Degradation and Inhibitors (3 papers), MicroRNA in disease regulation (2 papers) and Phagocytosis and Immune Regulation (2 papers). The work is most often cited by research in Cancer Research (116 citations), Industrial and Manufacturing Engineering (36 citations), Hematology (37 citations), Management Science and Operations Research (38 citations) and Molecular Biology (187 citations). Yating Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Pi‐Fang Hsu, Cheng‐Ru Wu, Xiao Han, Yunxia Zhu, Weiyan You, Xiaoai Chang, Xiaoyan Qu, Zhengxu Sun, Yuncai Zhou and Yi Sun. Their work appears in journals such as Diabetes, Cancer Biomarkers, Medicine, Clinica Chimica Acta and Scientific Reports.
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.