Dajin Pi
Impact in
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- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
Papers in
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- Ferroptosis and cancer prognosis 3
- Cancer-related cognitive impairment studies 2
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- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Mingzi Ouyang (10 shared papers)Yiliu Chen (9 shared papers)Yingchao Wu (10 shared papers)Qian Zuo (3 shared papers)Huan Ye (4 shared papers)Wuhong Wang (2 shared papers)Yangyang Dong (2 shared papers)Shuyao Zhou (1 shared paper)
- Journals
- Evidence-based Complementary and Alternative Medicine (3 papers)International Journal of Molecular Sciences (3 papers)International Journal of Biological Macromolecules (2 papers)Integrative Cancer Therapies (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- China
In The Last Decade
Dajin Pi
19 papers receiving 284 citations
Peers
Comparison fields: 5 of 50
- Biological Psychiatry 18
- Cancer Research 56
- Pulmonary and Respiratory Medicine 88
- Pharmacology 19
- Molecular Biology 138
Countries citing papers authored by Dajin Pi
This map shows the geographic impact of Dajin Pi'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 Dajin Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dajin Pi more than expected).
Fields of papers citing papers by Dajin Pi
This network shows the impact of papers produced by Dajin Pi. 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 Dajin Pi. The network helps show where Dajin Pi may publish in the future.
Co-authors
The 25 scholars most cited alongside Dajin Pi, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 77 | |
| 2 | 2022 | 42 | |
| 3 | 2022 | 34 | |
| 4 | 2021 | 26 | |
| 5 | 2024 | 16 | |
| 6 | 2022 | 14 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 10 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 9 | |
| 12 | 2024 | 7 | |
| 13 | 2025 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 0 |
About Dajin Pi
Dajin Pi is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Biological Psychiatry, Cancer Research and Molecular Biology, having authored 22 papers that have together received 287 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related molecular mechanisms research (3 papers), Gut microbiota and health (3 papers), Tryptophan and brain disorders (2 papers), Diet and metabolism studies (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cancer-related cognitive impairment studies (2 papers). The work is most often cited by research in Biological Psychiatry (18 citations), Cancer Research (56 citations), Pulmonary and Respiratory Medicine (88 citations), Pharmacology (19 citations) and Molecular Biology (138 citations). Dajin Pi has collaborated with scholars based in China. Frequent co-authors include Mingzi Ouyang, Yiliu Chen, Yingchao Wu, Qian Zuo, Huan Ye, Wuhong Wang, Yangyang Dong, Shuyao Zhou, Yupei Zhang and Qinhe Yang. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, International Journal of Molecular Sciences, International Journal of Biological Macromolecules, Integrative Cancer Therapies and Frontiers in Pharmacology.
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.