Pu Jiang
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Toxic Organic Pollutants Impact
- Effects and risks of endocrine disrupting chemicals
Papers in
-
- Circular RNAs in diseases 3
- S100 Proteins and Annexins 3
- Immunology 11
- Immune Response and Inflammation 5
- Co-authors
- Bing Han (8 shared papers)Xiaoli Ye (8 shared papers)Zhaoxing Li (5 shared papers)Xuegang Li (5 shared papers)Yang Yu (4 shared papers)Tao Huang (1 shared paper)Heshan Xu (5 shared papers)Yuanfeng Li (4 shared papers)
- Journals
- Digestive Diseases and Sciences (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Scientific Reports (1 paper)Food Research International (1 paper)International Journal of Food Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Pu Jiang
44 papers receiving 713 citations
Peers
Comparison fields: 5 of 100
- Cancer Research 172
- Health, Toxicology and Mutagenesis 90
- Industrial and Manufacturing Engineering 49
- Aquatic Science 32
- Molecular Biology 303
Countries citing papers authored by Pu Jiang
This map shows the geographic impact of Pu 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 Pu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Jiang more than expected).
Fields of papers citing papers by Pu Jiang
This network shows the impact of papers produced by Pu 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 Pu Jiang. The network helps show where Pu Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 135 | |
| 2 | 2017 | 82 | |
| 3 | 2019 | 81 | |
| 4 | 2018 | 47 | |
| 5 | 2020 | 37 | |
| 6 | 2018 | 29 | |
| 7 | 2021 | 26 | |
| 8 | 2021 | 25 | |
| 9 | 2017 | 21 | |
| 10 | 2017 | 20 | |
| 11 | 2017 | 19 | |
| 12 | 2015 | 19 | |
| 13 | 2019 | 17 | |
| 14 | 2008 | 17 | |
| 15 | 2008 | 16 | |
| 16 | 2015 | 15 | |
| 17 | 2018 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2012 | 12 |
About Pu Jiang
Pu Jiang is a scholar working on Molecular Biology, Immunology, Cancer Research, Surgery and Epidemiology, having authored 45 papers that have together received 723 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), S100 Proteins and Annexins (3 papers), Multiple Myeloma Research and Treatments (3 papers), Apelin-related biomedical research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Cancer Research (172 citations), Health, Toxicology and Mutagenesis (90 citations), Industrial and Manufacturing Engineering (49 citations), Aquatic Science (32 citations) and Molecular Biology (303 citations). Pu Jiang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Bing Han, Xiaoli Ye, Zhaoxing Li, Xuegang Li, Yang Yu, Tao Huang, Heshan Xu, Yuanfeng Li, Shaoqing Ju and Xianjuan Shen. Their work appears in journals such as Digestive Diseases and Sciences, Journal of Agricultural and Food Chemistry, Scientific Reports, Food Research International and International Journal of Food Microbiology.
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.