Liting Ji
Impact in
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- Medicinal Plants and Neuroprotection
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- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
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- Pluripotent Stem Cells Research 2
- Bone Metabolism and Diseases 2
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- Alzheimer's disease research and treatments 8
- Co-authors
- Changyu Li (17 shared papers)Yuanxiao Yang (5 shared papers)Sichen Wang (4 shared papers)Huazhong Ying (2 shared papers)Chunlan Hong (2 shared papers)Xiaojie Zhou (1 shared paper)Wen-Ying Yu (2 shared papers)Xiaojie Zhou (2 shared papers)
- Journals
- Phytomedicine (3 papers)Evidence-based Complementary and Alternative Medicine (3 papers)Frontiers in Pharmacology (1 paper)European Journal of Medicinal Chemistry (1 paper)Animal Cells and Systems (1 paper)
- Partner nations
- ChinaSouth KoreaGermany
In The Last Decade
Liting Ji
24 papers receiving 269 citations
Peers
Comparison fields: 5 of 59
- Complementary and alternative medicine 54
- Neurology 42
- Pharmacology 33
- Biological Psychiatry 8
- Physiology 50
Countries citing papers authored by Liting Ji
This map shows the geographic impact of Liting Ji'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 Liting Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liting Ji more than expected).
Fields of papers citing papers by Liting Ji
This network shows the impact of papers produced by Liting Ji. 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 Liting Ji. The network helps show where Liting Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Liting Ji, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 31 | |
| 2 | 2023 | 30 | |
| 3 | 2022 | 28 | |
| 4 | 2022 | 24 | |
| 5 | 2017 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2017 | 16 | |
| 8 | 2022 | 12 | |
| 9 | 2020 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 2013 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2013 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2020 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2016 | 3 |
About Liting Ji
Liting Ji is a scholar working on Molecular Biology, Physiology, Complementary and alternative medicine, Neurology and Pharmacology, having authored 25 papers that have together received 272 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Medicinal Plants and Neuroprotection (7 papers), Medicinal Plant Pharmacodynamics Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Pluripotent Stem Cells Research (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Complementary and alternative medicine (54 citations), Neurology (42 citations), Pharmacology (33 citations), Biological Psychiatry (8 citations) and Physiology (50 citations). Liting Ji has collaborated with scholars based in China, South Korea and Germany. Frequent co-authors include Changyu Li, Yuanxiao Yang, Sichen Wang, Huazhong Ying, Chunlan Hong, Xiaojie Zhou, Wen-Ying Yu, Xiaojie Zhou, Sung‐Oh Huh and Junhao Huang. Their work appears in journals such as Phytomedicine, Evidence-based Complementary and Alternative Medicine, Frontiers in Pharmacology, European Journal of Medicinal Chemistry and Animal Cells and Systems.
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.