Jun Ji
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 21
- Colorectal Cancer Treatments and Studies 5
- Cancer Cells and Metastasis 4
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- Angiogenesis and VEGF in Cancer 3
- Cancer-related gene regulation 3
- Co-authors
- Bei He (3 shared papers)Samuel Sam Wah Tay (3 shared papers)S. Thameem Dheen (3 shared papers)Yingyan Yu (19 shared papers)Qu Cai (18 shared papers)Jun Zhang (17 shared papers)Bingya Liu (12 shared papers)Zhenggang Zhu (14 shared papers)
- Journals
- Frontiers in Pharmacology (3 papers)BioScience Trends (3 papers)Oncology Reports (2 papers)Current Cancer Drug Targets (2 papers)Journal of Translational Medicine (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jun Ji
60 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 119
- Genetics 312
- Cancer Research 315
- Developmental Neuroscience 84
- Oncology 450
- Neurology 81
Countries citing papers authored by Jun Ji
This map shows the geographic impact of Jun 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 Jun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ji more than expected).
Fields of papers citing papers by Jun Ji
This network shows the impact of papers produced by Jun 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 Jun Ji. The network helps show where Jun Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 391 | |
| 2 | 2004 | 96 | |
| 3 | 2010 | 96 | |
| 4 | 2011 | 94 | |
| 5 | 2018 | 84 | |
| 6 | 2021 | 63 | |
| 7 | 2005 | 56 | |
| 8 | 2018 | 54 | |
| 9 | 2018 | 44 | |
| 10 | 2006 | 41 | |
| 11 | 2013 | 37 | |
| 12 | 2014 | 33 | |
| 13 | 2017 | 30 | |
| 14 | 2012 | 28 | |
| 15 | 2015 | 25 | |
| 16 | 2020 | 24 | |
| 17 | 2014 | 23 | |
| 18 | 2024 | 22 | |
| 19 | 2019 | 21 | |
| 20 | 2022 | 20 |
About Jun Ji
Jun Ji is a scholar working on Oncology, Molecular Biology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 64 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Colorectal Cancer Treatments and Studies (5 papers), Gastric Cancer Management and Outcomes (5 papers), Cancer Cells and Metastasis (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Breast Cancer Treatment Studies (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Genetics (312 citations), Cancer Research (315 citations), Developmental Neuroscience (84 citations), Oncology (450 citations) and Neurology (81 citations). Jun Ji has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Bei He, Samuel Sam Wah Tay, S. Thameem Dheen, Yingyan Yu, Qu Cai, Jun Zhang, Bingya Liu, Zhenggang Zhu, Zhenggang Zhu and Min Shi. Their work appears in journals such as Frontiers in Pharmacology, BioScience Trends, Oncology Reports, Current Cancer Drug Targets and Journal of Translational Medicine.
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.