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
-
- PI3K/AKT/mTOR signaling in cancer 2
-
- Psoriasis: Treatment and Pathogenesis 3
- Co-authors
- Jinglei Liu (2 shared papers)Yao Lei (1 shared paper)Maopeng Yang (1 shared paper)Mingyan Zhang (1 shared paper)Xin Shi (4 shared papers)Teng Yu (1 shared paper)Yongli Guo (1 shared paper)Longjiang Xu (3 shared papers)
In The Last Decade
Jiang Ji
36 papers receiving 782 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 190
- Dermatology 94
- Immunology 147
- Urology 36
- Immunology and Allergy 31
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 | 167 | |
| 2 | 2017 | 80 | |
| 3 | 2013 | 54 | |
| 4 | 2017 | 49 | |
| 5 | 2014 | 49 | |
| 6 | 2017 | 36 | |
| 7 | Cancer-associated fibroblasts from NSCLC promote the radioresistance in lung cancer cell lines. | 2015 | 34 |
| 8 | 2022 | 32 | |
| 9 | 2019 | 31 | |
| 10 | Overexpression of CD9 correlates with tumor stage and lymph node metastasis in esophageal squamous cell carcinoma. | 2015 | 26 |
| 11 | 2018 | 26 | |
| 12 | 2016 | 22 | |
| 13 | Inhibition of survivin expression and mechanisms of reversing drug-resistance of human lung adenocarcinoma cells by siRNA. | 2010 | 22 |
| 14 | 2021 | 19 | |
| 15 | 2021 | 19 | |
| 16 | 2019 | 18 | |
| 17 | 2021 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2023 | 11 |
About Jiang Ji
Jiang Ji is a scholar working on Molecular Biology, Immunology, Cell Biology, Dermatology and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 790 indexed citations. Recurring topics across this work include Effects of Radiation Exposure (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Hair Growth and Disorders (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Cancer Cells and Metastasis (2 papers), Urticaria and Related Conditions (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Skin and Cellular Biology Research (2 papers). The work is most often cited by research in Cancer Research (190 citations), Dermatology (94 citations), Immunology (147 citations), Urology (36 citations) and Immunology and Allergy (31 citations). Jiang Ji has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Jinglei Liu, Yao Lei, Maopeng Yang, Mingyan Zhang, Xin Shi, Teng Yu, Yongli Guo, Longjiang Xu, Shuyu Zhang and Jianping Cao. Their work appears in journals such as Frontiers in Oncology, The Journal of Dermatology, Biochemical and Biophysical Research Communications, Aging and Skin Research and Technology.
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.