Yating Li
Impact in
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- MicroRNA in disease regulation
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- Municipal Solid Waste Management
Papers in
- Hematology 11
- Multiple Myeloma Research and Treatments 6
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 2
- Surgery 10
- Pancreatic function and diabetes 8
- Co-authors
- Pi‐Fang Hsu (1 shared paper)Cheng‐Ru Wu (1 shared paper)Yunxia Zhu (11 shared papers)Xiao Han (11 shared papers)Xiaoai Chang (8 shared papers)Weiyan You (3 shared papers)Xiaoyan Qu (8 shared papers)Zhengxu Sun (6 shared papers)
- Journals
- Diabetes (4 papers)Medicine (2 papers)Cancer Biomarkers (2 papers)Nature Communications (1 paper)Blood (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yating Li
31 papers receiving 446 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 107
- Industrial and Manufacturing Engineering 37
- Hematology 39
- Management Science and Operations Research 40
- Molecular Biology 165
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 | 95 | |
| 2 | 2021 | 79 | |
| 3 | 2013 | 70 | |
| 4 | 2019 | 37 | |
| 5 | 2018 | 29 | |
| 6 | 2022 | 19 | |
| 7 | 2016 | 18 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2022 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2022 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 3 |
About Yating Li
Yating Li is a scholar working on Hematology, Surgery, Molecular Biology, Cell Biology and Immunology, having authored 31 papers that have together received 448 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Multiple Myeloma Research and Treatments (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Acute Myeloid Leukemia Research (4 papers), FOXO transcription factor regulation (2 papers), Diabetes and associated disorders (2 papers), RNA Research and Splicing (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Cancer Research (107 citations), Industrial and Manufacturing Engineering (37 citations), Hematology (39 citations), Management Science and Operations Research (40 citations) and Molecular Biology (165 citations). Yating Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Pi‐Fang Hsu, Cheng‐Ru Wu, Yunxia Zhu, Xiao Han, Xiaoai Chang, Weiyan You, Xiaoyan Qu, Zhengxu Sun, Yuncai Zhou and Yan Zhang. Their work appears in journals such as Diabetes, Medicine, Cancer Biomarkers, Nature Communications 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.