Pan Jiang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 12
- Circular RNAs in diseases 6
- Cancer-related gene regulation 6
- RNA Research and Splicing 5
-
- Cancer-related molecular mechanisms research 13
- MicroRNA in disease regulation 4
- Co-authors
- Qing Feng (19 shared papers)Xiaoyue Wu (8 shared papers)Aochang Chen (9 shared papers)Ijaz ul Haq (9 shared papers)Chuyue Xu (8 shared papers)Zahula Mariyam (7 shared papers)Pengqi Wang (5 shared papers)Wang Xuemin (1 shared paper)
- Journals
- Journal of Cellular Physiology (3 papers)Respiratory Research (3 papers)Environmental Pollution (2 papers)Journal of Cellular Biochemistry (2 papers)Shock (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Pan Jiang
52 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 624
- Applied Microbiology and Biotechnology 65
- Molecular Biology 923
- Biochemistry 72
- Geriatrics and Gerontology 38
Countries citing papers authored by Pan Jiang
This map shows the geographic impact of Pan Jiang'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 Pan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Jiang more than expected).
Fields of papers citing papers by Pan Jiang
This network shows the impact of papers produced by Pan Jiang. 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 Pan Jiang. The network helps show where Pan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan Jiang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 151 | |
| 2 | 2019 | 125 | |
| 3 | 2012 | 95 | |
| 4 | 2015 | 81 | |
| 5 | 2015 | 73 | |
| 6 | 2017 | 61 | |
| 7 | 2018 | 58 | |
| 8 | 2018 | 57 | |
| 9 | 2016 | 52 | |
| 10 | 2020 | 50 | |
| 11 | 2018 | 49 | |
| 12 | 2020 | 44 | |
| 13 | 2020 | 43 | |
| 14 | 2023 | 35 | |
| 15 | 2021 | 35 | |
| 16 | 2019 | 31 | |
| 17 | 2019 | 30 | |
| 18 | 2014 | 30 | |
| 19 | 2018 | 30 | |
| 20 | 2019 | 29 |
About Pan Jiang
Pan Jiang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (13 papers), RNA modifications and cancer (12 papers), Circular RNAs in diseases (6 papers), Cancer-related gene regulation (6 papers), Cancer Cells and Metastasis (5 papers), RNA Research and Splicing (5 papers), Ferroptosis and cancer prognosis (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (624 citations), Applied Microbiology and Biotechnology (65 citations), Molecular Biology (923 citations), Biochemistry (72 citations) and Geriatrics and Gerontology (38 citations). Pan Jiang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Qing Feng, Xiaoyue Wu, Aochang Chen, Ijaz ul Haq, Chuyue Xu, Zahula Mariyam, Pengqi Wang, Wang Xuemin, Wenbin Huang and Falak Zeb. Their work appears in journals such as Journal of Cellular Physiology, Respiratory Research, Environmental Pollution, Journal of Cellular Biochemistry and Shock.
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.