Xiaoting Li
Impact in
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
Papers in
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- Receptor Mechanisms and Signaling 4
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- Cannabis and Cannabinoid Research 4
- Co-authors
- Tian Hua (8 shared papers)Zhiping Zhang (2 shared papers)Yan Li (3 shared papers)Zhi‐Jie Liu (6 shared papers)Ling Shen (3 shared papers)Xukun Bi (2 shared papers)Zhe‐Shan Quan (4 shared papers)Duolong Di (3 shared papers)
- Journals
- Colloids and Surfaces A Physicochemical and Engineering Aspects (3 papers)European Journal of Medicinal Chemistry (2 papers)Nature Communications (2 papers)iScience (1 paper)Cell Research (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Xiaoting Li
27 papers receiving 373 citations
Peers
Comparison fields: 5 of 84
- Aging 13
- Cellular and Molecular Neuroscience 114
- Pharmacology 99
- Toxicology 18
- Endocrine and Autonomic Systems 30
Countries citing papers authored by Xiaoting Li
This map shows the geographic impact of Xiaoting 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 Xiaoting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoting Li more than expected).
Fields of papers citing papers by Xiaoting Li
This network shows the impact of papers produced by Xiaoting 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 Xiaoting Li. The network helps show where Xiaoting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoting 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 67 | |
| 2 | 2020 | 42 | |
| 3 | 2023 | 35 | |
| 4 | 2013 | 31 | |
| 5 | 2023 | 23 | |
| 6 | 2018 | 21 | |
| 7 | 2016 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2017 | 17 | |
| 10 | 2022 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2023 | 12 | |
| 14 | 2024 | 9 | |
| 15 | 2024 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2015 | 4 | |
| 18 | 2025 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2016 | 3 |
About Xiaoting Li
Xiaoting Li is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Surgery and Physiology, having authored 28 papers that have together received 378 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Cannabis and Cannabinoid Research (4 papers), Natural Compounds in Disease Treatment (2 papers), Animal Behavior and Reproduction (2 papers), Biochemical effects in animals (2 papers), Neurobiology and Insect Physiology Research (2 papers), Adaptive Control of Nonlinear Systems (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Aging (13 citations), Cellular and Molecular Neuroscience (114 citations), Pharmacology (99 citations), Toxicology (18 citations) and Endocrine and Autonomic Systems (30 citations). Xiaoting Li has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Tian Hua, Zhiping Zhang, Yan Li, Zhi‐Jie Liu, Ling Shen, Xukun Bi, Zhe‐Shan Quan, Duolong Di, Chang Liu and Qing‐Kun Shen. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, European Journal of Medicinal Chemistry, Nature Communications, iScience and Cell Research.
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.