Yu Long
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Neurology 13
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Neurological Disease Mechanisms and Treatments 5
- Pharmacology 10
- Flavonoids in Medical Research 6
- Co-authors
- Nan Li (21 shared papers)Jinyan Wan (14 shared papers)Yulu Zhang (12 shared papers)Shuang Yu (15 shared papers)Ai Shi (14 shared papers)Songyu Liu (9 shared papers)Jianping Huang (7 shared papers)Elias Sayour (7 shared papers)
- Journals
- Pharmacological Research (4 papers)Clinical Rehabilitation (2 papers)Frontiers in Immunology (2 papers)Biomedicine & Pharmacotherapy (2 papers)Neuro-Oncology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yu Long
47 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Biological Psychiatry 94
- Neurology 187
- Complementary and alternative medicine 152
- Oncology 422
- Genetics 140
Countries citing papers authored by Yu Long
This map shows the geographic impact of Yu Long'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 Yu Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Long more than expected).
Fields of papers citing papers by Yu Long
This network shows the impact of papers produced by Yu Long. 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 Yu Long. The network helps show where Yu Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Long, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 300 | |
| 2 | 2020 | 142 | |
| 3 | 2020 | 127 | |
| 4 | 2019 | 97 | |
| 5 | 2019 | 80 | |
| 6 | 2021 | 80 | |
| 7 | 2022 | 77 | |
| 8 | 2023 | 72 | |
| 9 | 2018 | 64 | |
| 10 | 2022 | 49 | |
| 11 | 2020 | 47 | |
| 12 | 2019 | 44 | |
| 13 | 2017 | 42 | |
| 14 | 2019 | 34 | |
| 15 | 2020 | 34 | |
| 16 | 2020 | 33 | |
| 17 | 2022 | 31 | |
| 18 | 2023 | 29 | |
| 19 | 2023 | 29 | |
| 20 | 2021 | 27 |
About Yu Long
Yu Long is a scholar working on Neurology, Pharmacology, Complementary and alternative medicine, Molecular Biology and Immunology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Flavonoids in Medical Research (6 papers), Immune cells in cancer (5 papers), Neurological Disease Mechanisms and Treatments (5 papers), Traditional Chinese Medicine Analysis (5 papers), Medicinal Plants and Neuroprotection (4 papers), Tryptophan and brain disorders (4 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Biological Psychiatry (94 citations), Neurology (187 citations), Complementary and alternative medicine (152 citations), Oncology (422 citations) and Genetics (140 citations). Yu Long has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nan Li, Jinyan Wan, Yulu Zhang, Shuang Yu, Ai Shi, Songyu Liu, Jianping Huang, Elias Sayour, Duane A. Mitchell and Qiyue Yang. Their work appears in journals such as Pharmacological Research, Clinical Rehabilitation, Frontiers in Immunology, Biomedicine & Pharmacotherapy and Neuro-Oncology.
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.