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 30
- Colorectal Cancer Treatments and Studies 8
- Pancreatic and Hepatic Oncology Research 5
- Cancer Cells and Metastasis 4
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- Cancer-related gene regulation 4
- Co-authors
- Samuel Sam Wah Tay (3 shared papers)Bei He (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 (2 papers)Journal of Translational Medicine (2 papers)World Journal of Surgical Oncology (2 papers)Oncology Reports (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jun Ji
57 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 120
- Genetics 329
- Cancer Research 388
- Developmental Neuroscience 87
- Oncology 514
- Neurology 78
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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 383 | |
| 2 | 2010 | 94 | |
| 3 | 2011 | 94 | |
| 4 | 2004 | 90 | |
| 5 | 2018 | 83 | |
| 6 | 2021 | 56 | |
| 7 | 2005 | 54 | |
| 8 | 2018 | 50 | |
| 9 | 2018 | 43 | |
| 10 | 2006 | 41 | |
| 11 | 2013 | 37 | |
| 12 | 2014 | 32 | |
| 13 | 2017 | 29 | |
| 14 | 2012 | 29 | |
| 15 | 2015 | 24 | |
| 16 | 2020 | 24 | |
| 17 | 2014 | 22 | |
| 18 | 2019 | 21 | |
| 19 | 2019 | 19 | |
| 20 | 2024 | 17 |
About Jun Ji
Jun Ji is a scholar working on Oncology, Molecular Biology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers), Colorectal Cancer Treatments and Studies (8 papers), Gastric Cancer Management and Outcomes (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Cancer Cells and Metastasis (4 papers), Cancer-related gene regulation (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Genetics (329 citations), Cancer Research (388 citations), Developmental Neuroscience (87 citations), Oncology (514 citations) and Neurology (78 citations). Jun Ji has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Samuel Sam Wah Tay, Bei He, 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, Journal of Translational Medicine, World Journal of Surgical Oncology and Oncology Reports.
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.