Dingjue Ji
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
- Protein Structure and Dynamics 1
- Machine Learning in Bioinformatics 1
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- Respiratory viral infections research 2
- Co-authors
- Haifeng Chen (4 shared papers)Wei Wang (1 shared paper)Ray Luo (1 shared paper)Wei Ye (1 shared paper)Hongyu Zhao (5 shared papers)Ronald S. Duman (3 shared papers)Matthew J. Girgenti (3 shared papers)John H. Krystal (3 shared papers)
- Journals
- Nature Neuroscience (1 paper)Journal of Chemical Information and Modeling (1 paper)Thorax (1 paper)Molecular BioSystems (1 paper)The International Journal of Neuropsychopharmacology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Dingjue Ji
9 papers receiving 212 citations
Peers
Comparison fields: 5 of 60
- Biological Psychiatry 36
- Behavioral Neuroscience 49
- Developmental Neuroscience 15
- Molecular Biology 97
- Spectroscopy 19
Countries citing papers authored by Dingjue Ji
This map shows the geographic impact of Dingjue 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 Dingjue Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingjue Ji more than expected).
Fields of papers citing papers by Dingjue Ji
This network shows the impact of papers produced by Dingjue 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 Dingjue Ji. The network helps show where Dingjue Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingjue 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 107 | |
| 2 | 2015 | 73 | |
| 3 | 2014 | 12 | |
| 4 | 2020 | 9 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 4 | |
| 7 | 2015 | 2 | |
| 8 | 2020 | 2 | |
| 9 | 2013 | 1 |
About Dingjue Ji
Dingjue Ji is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Neurology and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 216 indexed citations. Recurring topics across this work include Respiratory viral infections research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Mental Health Research Topics (1 paper), Protein Structure and Dynamics (1 paper), Viral Infections and Immunology Research (1 paper), HIV/AIDS drug development and treatment (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Biological Psychiatry (36 citations), Behavioral Neuroscience (49 citations), Developmental Neuroscience (15 citations), Molecular Biology (97 citations) and Spectroscopy (19 citations). Dingjue Ji has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Haifeng Chen, Wei Wang, Ray Luo, Wei Ye, Hongyu Zhao, Ronald S. Duman, Matthew J. Girgenti, John H. Krystal, Jiawei Wang and Dianne A. Cruz. Their work appears in journals such as Nature Neuroscience, Journal of Chemical Information and Modeling, Thorax, Molecular BioSystems and The International Journal of Neuropsychopharmacology.
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.