Jin Jiang
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
-
- Peroxisome Proliferator-Activated Receptors 3
-
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Co-authors
- Jian Zhan (2 shared papers)Yong Luo (4 shared papers)Chao‐Ke Tang (3 shared papers)Kai Yin (3 shared papers)Zhongcheng Mo (3 shared papers)Yikun Ren (3 shared papers)Wenyi Qin (1 shared paper)Ying Zhang (1 shared paper)
- Journals
- Neurochemical Research (2 papers)Journal of Cardiovascular Pharmacology (1 paper)Biomedicine & Pharmacotherapy (1 paper)Journal of Biological Chemistry (1 paper)Diagnostic Pathology (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Jin Jiang
13 papers receiving 324 citations
Peers
Comparison fields: 5 of 69
- Neurology 95
- Complementary and alternative medicine 44
- Cancer Research 63
- Biological Psychiatry 7
- Immunology 53
Countries citing papers authored by Jin Jiang
This map shows the geographic impact of Jin 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 Jin Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Jiang more than expected).
Fields of papers citing papers by Jin Jiang
This network shows the impact of papers produced by Jin 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 Jin Jiang. The network helps show where Jin Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 104 | |
| 2 | 2017 | 53 | |
| 3 | 2011 | 48 | |
| 4 | 2010 | 28 | |
| 5 | 2010 | 26 | |
| 6 | 2022 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 13 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 3 | |
| 12 | [4i, a novel PPARγ ligand, inhibits the production of inflammatory cytokines in murine macrophages by blocking NF-κB and MAPK pathway]. | 2018 | 1 |
| 13 | 2020 | 1 |
About Jin Jiang
Jin Jiang is a scholar working on Molecular Biology, Neurology, Cancer Research, Surgery and Pharmacology, having authored 13 papers that have together received 328 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cholesterol and Lipid Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), NF-κB Signaling Pathways (2 papers), Cancer-related molecular mechanisms research (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Acupuncture Treatment Research Studies (2 papers) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Neurology (95 citations), Complementary and alternative medicine (44 citations), Cancer Research (63 citations), Biological Psychiatry (7 citations) and Immunology (53 citations). Jin Jiang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jian Zhan, Yong Luo, Chao‐Ke Tang, Kai Yin, Zhongcheng Mo, Yikun Ren, Wenyi Qin, Ying Zhang, Hongmei Ma and Guojun Zhao. Their work appears in journals such as Neurochemical Research, Journal of Cardiovascular Pharmacology, Biomedicine & Pharmacotherapy, Journal of Biological Chemistry and Diagnostic Pathology.
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.