Jiang Ji
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Dermatology top 5%
- Dermatologic Treatments and Research
Papers in ⓘ
- Co-authors
- Jinglei Liu (2 shared papers)Maopeng Yang (1 shared paper)Yao Lei (1 shared paper)Mingyan Zhang (1 shared paper)Xin Shi (4 shared papers)Yongli Guo (1 shared paper)Teng Yu (1 shared paper)Longjiang Xu (3 shared papers)
- Journals
- Radiation Research (2 papers)The Journal of Dermatology (2 papers)Aging (2 papers)Skin Research and Technology (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jiang Ji
36 papers receiving 750 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 229
- Dermatology 107
- Immunology 161
- Molecular Biology 401
- Immunology and Allergy 33
Countries citing papers authored by Jiang Ji
This map shows the geographic impact of Jiang Ji'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 Jiang Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Ji more than expected).
Fields of papers citing papers by Jiang Ji
This network shows the impact of papers produced by Jiang Ji. 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 Jiang Ji. The network helps show where Jiang Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang Ji, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 164 | |
| 2 | 2017 | 79 | |
| 3 | 2013 | 54 | |
| 4 | 2014 | 46 | |
| 5 | 2017 | 45 | |
| 6 | 2017 | 35 | |
| 7 | Cancer-associated fibroblasts from NSCLC promote the radioresistance in lung cancer cell lines. | 2015 | 34 |
| 8 | 2019 | 30 | |
| 9 | 2022 | 27 | |
| 10 | 2018 | 26 | |
| 11 | Overexpression of CD9 correlates with tumor stage and lymph node metastasis in esophageal squamous cell carcinoma. | 2015 | 25 |
| 12 | Inhibition of survivin expression and mechanisms of reversing drug-resistance of human lung adenocarcinoma cells by siRNA. | 2010 | 22 |
| 13 | 2016 | 22 | |
| 14 | 2019 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 16 | |
| 17 | 2021 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2023 | 10 |
About Jiang Ji
Jiang Ji is a scholar working on Molecular Biology, Immunology, Dermatology, Oncology and Cell Biology, having authored 38 papers that have together received 756 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cell Adhesion Molecules Research (3 papers), Cancer Cells and Metastasis (3 papers), Dermatologic Treatments and Research (3 papers), Urticaria and Related Conditions (3 papers), Hair Growth and Disorders (3 papers) and Hippo pathway signaling and YAP/TAZ (3 papers). The work is most often cited by research in Cancer Research (229 citations), Dermatology (107 citations), Immunology (161 citations), Molecular Biology (401 citations) and Immunology and Allergy (33 citations). Jiang Ji has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jinglei Liu, Maopeng Yang, Yao Lei, Mingyan Zhang, Xin Shi, Yongli Guo, Teng Yu, Longjiang Xu, Jianping Cao and Shuyu Zhang. Their work appears in journals such as Radiation Research, The Journal of Dermatology, Aging, Skin Research and Technology and Frontiers in Oncology.
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.