Xiling Li
Impact in
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Aging top 10%
Papers in ⓘ
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- Metabolomics and Mass Spectrometry Studies 6
- Ion channel regulation and function 4
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- Neurobiology and Insect Physiology Research 9
- Neuroscience and Neuropharmacology Research 6
- Co-authors
- Dion Dickman (14 shared papers)Pragya Goel (7 shared papers)Jun Zhe Min (19 shared papers)Lu Chen (1 shared paper)Michelle Tjia (1 shared paper)Qing Shi (6 shared papers)Catherine Chen (3 shared papers)Sarah L. Perry (4 shared papers)
- Journals
- Journal of Chromatography A (5 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)Journal of Neuroscience (2 papers)Analytica Chimica Acta (2 papers)Cell Reports (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiling Li
38 papers receiving 599 citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 254
- Aging 24
- Cell Biology 120
- Biochemistry 44
- Molecular Biology 268
Countries citing papers authored by Xiling Li
This map shows the geographic impact of Xiling 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 Xiling Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiling Li more than expected).
Fields of papers citing papers by Xiling Li
This network shows the impact of papers produced by Xiling 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 Xiling Li. The network helps show where Xiling Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiling 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 61 | |
| 2 | 2022 | 58 | |
| 3 | 2017 | 50 | |
| 4 | 2017 | 43 | |
| 5 | 2018 | 36 | |
| 6 | 2019 | 36 | |
| 7 | 2018 | 32 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 24 | |
| 10 | 2012 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2022 | 16 | |
| 14 | 2010 | 15 | |
| 15 | 2017 | 14 | |
| 16 | 2016 | 14 | |
| 17 | 2019 | 13 | |
| 18 | 2017 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2023 | 10 |
About Xiling Li
Xiling Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Biochemistry and Spectroscopy, having authored 39 papers that have together received 601 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Amino Acid Enzymes and Metabolism (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Cellular transport and secretion (6 papers), Ion channel regulation and function (4 papers), Molecular Sensors and Ion Detection (3 papers) and Sulfur Compounds in Biology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (254 citations), Aging (24 citations), Cell Biology (120 citations), Biochemistry (44 citations) and Molecular Biology (268 citations). Xiling Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dion Dickman, Pragya Goel, Jun Zhe Min, Lu Chen, Michelle Tjia, Qing Shi, Catherine Chen, Sarah L. Perry, Xun Chen and Toshimasa Toyo’oka. Their work appears in journals such as Journal of Chromatography A, Journal of Pharmaceutical and Biomedical Analysis, Journal of Neuroscience, Analytica Chimica Acta and Cell 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.