Ji Hu
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
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- Neuroscience and Neuropharmacology Research 16
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- Receptor Mechanisms and Signaling 7
- Co-authors
- Wenzhi Sun (13 shared papers)Hailan Hu (2 shared papers)Hao Wang (2 shared papers)Yan Yang (1 shared paper)Zhaoyun Zhang (3 shared papers)Fuqiang Xu (3 shared papers)Fang Cai (9 shared papers)Wei L. Shen (4 shared papers)
- Journals
- Neuron (4 papers)PLoS ONE (2 papers)Neuropharmacology (2 papers)Nature Communications (2 papers)Current Biology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ji Hu
73 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 119
- Biological Psychiatry 144
- Behavioral Neuroscience 203
- Cellular and Molecular Neuroscience 523
- Endocrine and Autonomic Systems 165
- Neurology 179
Countries citing papers authored by Ji Hu
This map shows the geographic impact of Ji Hu'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 Ji Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Hu more than expected).
Fields of papers citing papers by Ji Hu
This network shows the impact of papers produced by Ji Hu. 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 Ji Hu. The network helps show where Ji Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Hu, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 244 | |
| 2 | 2017 | 185 | |
| 3 | 2009 | 184 | |
| 4 | 2019 | 115 | |
| 5 | 2019 | 111 | |
| 6 | 2014 | 90 | |
| 7 | 2013 | 87 | |
| 8 | 2019 | 65 | |
| 9 | 2022 | 51 | |
| 10 | 2024 | 50 | |
| 11 | 2017 | 48 | |
| 12 | 2012 | 45 | |
| 13 | 2020 | 44 | |
| 14 | 2020 | 43 | |
| 15 | 2023 | 38 | |
| 16 | 2020 | 38 | |
| 17 | 2020 | 37 | |
| 18 | 2019 | 37 | |
| 19 | 2023 | 34 | |
| 20 | 2016 | 34 |
About Ji Hu
Ji Hu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cognitive Neuroscience and Neurology, having authored 76 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Pain Mechanisms and Treatments (11 papers), Neural dynamics and brain function (8 papers), Receptor Mechanisms and Signaling (7 papers), Stress Responses and Cortisol (6 papers), Tryptophan and brain disorders (6 papers), Memory and Neural Mechanisms (6 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Biological Psychiatry (144 citations), Behavioral Neuroscience (203 citations), Cellular and Molecular Neuroscience (523 citations), Endocrine and Autonomic Systems (165 citations) and Neurology (179 citations). Ji Hu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Wenzhi Sun, Hailan Hu, Hao Wang, Yan Yang, Zhaoyun Zhang, Fuqiang Xu, Fang Cai, Wei L. Shen, Ming Chen and Sen Jin. Their work appears in journals such as Neuron, PLoS ONE, Neuropharmacology, Nature Communications and Current Biology.
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.