Junfang Ji
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- MicroRNA in disease regulation 23
- Cancer-related molecular mechanisms research 14
-
- Hepatocellular Carcinoma Treatment and Prognosis 5
- Liver physiology and pathology 4
- Co-authors
- Xin Wei WangAnuradha BudhuMarshonna ForguesQing‐Hai YeHu‐Liang JiaTaro YamashitaLun–Xiu QinLola M. Reid
- Journals
- Hepatology (6 papers)Cancer Research (4 papers)Nature Communications (3 papers)Gastroenterology (3 papers)International Journal of Biological Sciences (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Junfang Ji
54 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cancer Research 2.4k
- Hepatology 781
- Geriatrics and Gerontology 293
- Oncology 1.3k
- Molecular Biology 3.1k
Countries citing papers authored by Junfang Ji
This map shows the geographic impact of Junfang 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 Junfang Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfang Ji more than expected).
Fields of papers citing papers by Junfang Ji
This network shows the impact of papers produced by Junfang 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 Junfang Ji. The network helps show where Junfang Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfang 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 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 1 | |
| 8 | 2020 | 56 | |
| 9 | 2020 | 12 | |
| 10 | 2018 | 69 | |
| 11 | 2018 | 51 | |
| 12 | 2017 | 220 | |
| 13 | 2016 | 5 | |
| 14 | 2014 | 5 | |
| 15 | 2013 | 22 | |
| 16 | 2012 | 173 | |
| 17 | 2011 | 248 | |
| 18 | 2011 | 418 | |
| 19 | 2009 | 436 | |
| 20 | EpCAM-Positive Hepatocellular Carcinoma Cells Are Tumor-Initiating Cells With Stem/Progenitor Cell Features Hit paper breakdown → | 2008 | 958 |
About Junfang Ji
Junfang Ji is a scholar working on Cancer Research, Hepatology, Geriatrics and Gerontology, Molecular Biology and Oncology, having authored 55 papers that have together received 4.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (23 papers), Cancer-related molecular mechanisms research (14 papers), RNA modifications and cancer (7 papers), Circular RNAs in diseases (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Liver physiology and pathology (4 papers), Cancer Cells and Metastasis (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers). The work is most often cited by research in Cancer Research (2.4k citations), Hepatology (781 citations), Geriatrics and Gerontology (293 citations), Oncology (1.3k citations) and Molecular Biology (3.1k citations). Junfang Ji has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xin Wei Wang, Anuradha Budhu, Marshonna Forgues, Qing‐Hai Ye, Hu‐Liang Jia, Taro Yamashita, Lun–Xiu Qin, Lola M. Reid, Stéphanie Roessler and Zhao–You Tang. Their work appears in journals such as Hepatology, Cancer Research, Nature Communications, Gastroenterology and International Journal of Biological Sciences.
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.