Dongjun Li
Impact in
- Psychiatry and Mental health top 5%
- Cancer, Stress, Anesthesia, and Immune Response
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
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- Receptor Mechanisms and Signaling 6
- Protein Kinase Regulation and GTPase Signaling 3
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- Mineral Processing and Grinding 4
- Co-authors
- Andrew D. Rhim (2 shared papers)Kathryn M. Albers (1 shared paper)Howard C. Crawford (1 shared paper)Jami L. Saloman (1 shared paper)Brian M. Davis (1 shared paper)Douglas J. Hartman (1 shared paper)Yaqing Zhang (1 shared paper)Gregory L. Beatty (1 shared paper)
- Journals
- Blood (4 papers)Applied Sciences (2 papers)Nature Communications (1 paper)steel research international (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dongjun Li
27 papers receiving 826 citations
Peers
Comparison fields: 5 of 104
- Psychiatry and Mental health 182
- Oncology 265
- Immunology 170
- Neurology 52
- Cellular and Molecular Neuroscience 108
Countries citing papers authored by Dongjun Li
This map shows the geographic impact of Dongjun 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 Dongjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongjun Li more than expected).
Fields of papers citing papers by Dongjun Li
This network shows the impact of papers produced by Dongjun 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 Dongjun Li. The network helps show where Dongjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Dongjun 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 274 | |
| 2 | 2016 | 250 | |
| 3 | 2019 | 51 | |
| 4 | 2010 | 43 | |
| 5 | 2014 | 43 | |
| 6 | 2023 | 29 | |
| 7 | 2019 | 27 | |
| 8 | 2005 | 24 | |
| 9 | 2022 | 20 | |
| 10 | 2023 | 11 | |
| 11 | 2021 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2016 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2013 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 2 |
About Dongjun Li
Dongjun Li is a scholar working on Molecular Biology, Mechanical Engineering, Cellular and Molecular Neuroscience, Organic Chemistry and Control and Systems Engineering, having authored 29 papers that have together received 834 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Mineral Processing and Grinding (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Blood disorders and treatments (3 papers), Neuropeptides and Animal Physiology (3 papers), Coal Properties and Utilization (2 papers), Glaucoma and retinal disorders (2 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Psychiatry and Mental health (182 citations), Oncology (265 citations), Immunology (170 citations), Neurology (52 citations) and Cellular and Molecular Neuroscience (108 citations). Dongjun Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Andrew D. Rhim, Kathryn M. Albers, Howard C. Crawford, Jami L. Saloman, Brian M. Davis, Douglas J. Hartman, Yaqing Zhang, Gregory L. Beatty, Ashley Velez-Delgado and Diane M. Simeone. Their work appears in journals such as Blood, Applied Sciences, Nature Communications, steel research international and Journal of Neuroscience.
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.