Wang Ji
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Colorectal Cancer Surgical Treatments
- Colorectal Cancer Screening and Detection
Papers in
- Oncology 22
- Cancer Cells and Metastasis 5
- Cancer Immunotherapy and Biomarkers 4
- Pancreatic and Hepatic Oncology Research 4
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- Tracheal and airway disorders 3
- Co-authors
- Chenyang Ye (3 shared papers)Jichun Zhou (3 shared papers)Hanchu Xiong (2 shared papers)Linbo Wang (3 shared papers)Yunlu Jia (2 shared papers)Yongxia Chen (1 shared paper)Cong Chen (1 shared paper)Jin‐Yu Sun (2 shared papers)
- Journals
- Frontiers in Oncology (2 papers)International Journal of Cardiology (1 paper)Clinical Breast Cancer (1 paper)Japanese Journal of Clinical Oncology (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- ChinaSouth KoreaBelgium
In The Last Decade
Wang Ji
33 papers receiving 747 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 333
- Oncology 278
- Molecular Biology 352
- Pulmonary and Respiratory Medicine 123
- Surgery 125
Countries citing papers authored by Wang Ji
This map shows the geographic impact of Wang 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 Wang Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Ji more than expected).
Fields of papers citing papers by Wang Ji
This network shows the impact of papers produced by Wang 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 Wang Ji. The network helps show where Wang Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 206 | |
| 2 | 2016 | 162 | |
| 3 | 2016 | 67 | |
| 4 | 2022 | 53 | |
| 5 | 2016 | 43 | |
| 6 | 2019 | 43 | |
| 7 | 2013 | 32 | |
| 8 | 2021 | 25 | |
| 9 | 2016 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 10 | |
| 12 | 1994 | 10 | |
| 13 | 2024 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2021 | 5 |
About Wang Ji
Wang Ji is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Molecular Biology, having authored 33 papers that have together received 753 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Tracheal and airway disorders (3 papers), Immunotherapy and Immune Responses (3 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (333 citations), Oncology (278 citations), Molecular Biology (352 citations), Pulmonary and Respiratory Medicine (123 citations) and Surgery (125 citations). Wang Ji has collaborated with scholars based in China, South Korea and Belgium. Frequent co-authors include Chenyang Ye, Jichun Zhou, Hanchu Xiong, Linbo Wang, Yunlu Jia, Yongxia Chen, Cong Chen, Jin‐Yu Sun, Shuduo Xie and Yulu Zhou. Their work appears in journals such as Frontiers in Oncology, International Journal of Cardiology, Clinical Breast Cancer, Japanese Journal of Clinical Oncology and Frontiers in Plant Science.
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.