Jiansong Ji
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis 32
- Liver Disease and Transplantation 7
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 7
- Oncology top 5%
- CAR-T cell therapy research 7
- Immunology top 10%
- Molecular Biology top 10%
-
- Radiomics and Machine Learning in Medical Imaging 10
-
- Cholangiocarcinoma and Gallbladder Cancer Studies 7
-
- Cancer Mechanisms and Therapy 7
-
- Liver Disease Diagnosis and Treatment 7
- Co-authors
- Zhongwei ZhaoMinjiang ChenJingjing SongQiaoyou WengJianfei TuXiaojie LuDengke ZhangFazong Wu
- Cited by
- HepatologyCancer ResearchOncology
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jiansong Ji
73 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Hepatology 512
- Cancer Research 548
- Oncology 557
- Immunology 389
- Molecular Biology 904
Countries citing papers authored by Jiansong Ji
This map shows the geographic impact of Jiansong 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 Jiansong Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiansong Ji more than expected).
Fields of papers citing papers by Jiansong Ji
This network shows the impact of papers produced by Jiansong 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 Jiansong Ji. The network helps show where Jiansong Ji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiansong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 45 | |
| 6 | 2021 | 34 | |
| 7 | 2021 | 30 | |
| 8 | 2021 | 97 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 35 | |
| 15 | 2018 | 54 | |
| 16 | 2017 | 31 | |
| 17 | 2017 | 13 | |
| 18 | 2016 | 14 | |
| 19 | 2015 | 7 | |
| 20 | 2014 | 13 |
About Jiansong Ji
Jiansong Ji is a scholar working on Hepatology, Cancer Research and Oncology, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (32 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Liver Disease and Transplantation (7 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Cancer-related molecular mechanisms research (7 papers), Cancer Mechanisms and Therapy (7 papers), CAR-T cell therapy research (7 papers) and Liver Disease Diagnosis and Treatment (7 papers). The work is most often cited by research in Hepatology (512 citations), Cancer Research (548 citations) and Oncology (557 citations). Jiansong Ji has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhongwei Zhao, Minjiang Chen, Jingjing Song, Qiaoyou Weng, Jianfei Tu, Xiaojie Lu, Dengke Zhang, Fazong Wu, Jin‐Yu Sun and Liyun Zheng. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.