Runbi Ji
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- Extracellular vesicles in disease 10
- Circular RNAs in diseases 9
- Epigenetics and DNA Methylation 6
-
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 8
- Co-authors
- Hui Qian (16 shared papers)Wenrong Xu (16 shared papers)Xu Zhang (21 shared papers)Wei Zhu (4 shared papers)Mei Wang (3 shared papers)Bin Zhang (3 shared papers)Yongmin Yan (3 shared papers)Xiao Yuan (2 shared papers)
- Journals
- Oncology Reports (2 papers)Cell Death and Disease (2 papers)Frontiers in Cell and Developmental Biology (2 papers)Frontiers in Oncology (2 papers)Cancer Cell International (2 papers)
- Partner nations
- ChinaFinlandNetherlands
In The Last Decade
Runbi Ji
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 76
- Cancer Research 551
- Genetics 156
- Oncology 310
- Immunology 238
- Molecular Biology 725
Countries citing papers authored by Runbi Ji
This map shows the geographic impact of Runbi 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 Runbi Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runbi Ji more than expected).
Fields of papers citing papers by Runbi Ji
This network shows the impact of papers produced by Runbi 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 Runbi Ji. The network helps show where Runbi Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Runbi 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 194 | |
| 2 | 2016 | 91 | |
| 3 | 2020 | 83 | |
| 4 | 2015 | 78 | |
| 5 | 2019 | 69 | |
| 6 | 2020 | 57 | |
| 7 | 2017 | 54 | |
| 8 | 2013 | 47 | |
| 9 | 2019 | 46 | |
| 10 | 2020 | 38 | |
| 11 | 2020 | 36 | |
| 12 | 2024 | 34 | |
| 13 | 2020 | 32 | |
| 14 | 2024 | 24 | |
| 15 | 2010 | 24 | |
| 16 | 2019 | 20 | |
| 17 | 2019 | 19 | |
| 18 | 2017 | 18 | |
| 19 | 2023 | 17 | |
| 20 | 2023 | 15 |
About Runbi Ji
Runbi Ji is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Immunology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (11 papers), Extracellular vesicles in disease (10 papers), Circular RNAs in diseases (9 papers), Cancer-related molecular mechanisms research (8 papers), Cancer Cells and Metastasis (7 papers), Immune cells in cancer (7 papers), Epigenetics and DNA Methylation (6 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Cancer Research (551 citations), Genetics (156 citations), Oncology (310 citations), Immunology (238 citations) and Molecular Biology (725 citations). Runbi Ji has collaborated with scholars based in China, Finland and Netherlands. Frequent co-authors include Hui Qian, Wenrong Xu, Xu Zhang, Wei Zhu, Mei Wang, Bin Zhang, Yongmin Yan, Xiao Yuan, Hongbing Gu and Hui Shi. Their work appears in journals such as Oncology Reports, Cell Death and Disease, Frontiers in Cell and Developmental Biology, Frontiers in Oncology and Cancer Cell International.
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.