Jingjiang Pi
Impact in
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- Protein Degradation and Inhibitors
- Inflammasome and immune disorders
- DNA Repair Mechanisms
- Sphingolipid Metabolism and Signaling
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- MicroRNA in disease regulation
Papers in
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- Kruppel-like factors research 3
- Angiogenesis and VEGF in Cancer 2
- Sphingolipid Metabolism and Signaling 1
- Ubiquitin and proteasome pathways 1
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- Cardiovascular Disease and Adiposity 2
- Co-authors
- Yuzhen Zhang (16 shared papers)Lin Zhang (14 shared papers)Paul Chan (14 shared papers)Zuoren Yu (8 shared papers)Zhongmin Liu (12 shared papers)Xiaoli Chen (12 shared papers)Edward E. Morrisey (6 shared papers)Xiangjian Zheng (5 shared papers)
In The Last Decade
Jingjiang Pi
19 papers receiving 647 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 404
- Cancer Research 77
- Cardiology and Cardiovascular Medicine 99
- Oncology 115
- Immunology 90
Countries citing papers authored by Jingjiang Pi
This map shows the geographic impact of Jingjiang 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 Jingjiang Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingjiang Pi more than expected).
Fields of papers citing papers by Jingjiang Pi
This network shows the impact of papers produced by Jingjiang 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 Jingjiang Pi. The network helps show where Jingjiang Pi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingjiang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 185 | |
| 2 | 2019 | 142 | |
| 3 | 2019 | 77 | |
| 4 | 2020 | 51 | |
| 5 | 2016 | 43 | |
| 6 | 2019 | 27 | |
| 7 | 2023 | 22 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 18 | |
| 10 | 2017 | 14 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2001 | 1 |
About Jingjiang Pi
Jingjiang Pi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Immunology and Surgery, having authored 19 papers that have together received 651 indexed citations. Recurring topics across this work include Kruppel-like factors research (3 papers), Angiogenesis and VEGF in Cancer (2 papers), MicroRNA in disease regulation (2 papers), Cardiovascular Disease and Adiposity (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Folate and B Vitamins Research (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (404 citations), Cancer Research (77 citations), Cardiology and Cardiovascular Medicine (99 citations), Oncology (115 citations) and Immunology (90 citations). Jingjiang Pi has collaborated with scholars based in China, Taiwan and Macao. Frequent co-authors include Yuzhen Zhang, Lin Zhang, Paul Chan, Zuoren Yu, Zhongmin Liu, Xiaoli Chen, Edward E. Morrisey, Xiangjian Zheng, Brian Tomlinson and Tao Zhuang. Their work appears in journals such as Redox Biology, Circulation Research, Journal of the American Heart Association, Frontiers in Cardiovascular Medicine and Cardiovascular Research.
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.