Junming Bi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Circular RNAs in diseases
- Extracellular vesicles in disease
- RNA modifications and cancer
Papers in
-
- Circular RNAs in diseases 9
- RNA modifications and cancer 1
-
- Cancer-related molecular mechanisms research 3
- Co-authors
- Tianxin Lin (12 shared papers)Wei Dong (7 shared papers)Jian Huang (6 shared papers)Meihua Yang (8 shared papers)Ning Jiang (5 shared papers)Qingqing He (4 shared papers)Wang He (3 shared papers)Hongwei Liu (3 shared papers)
- Journals
- Aging (4 papers)Molecular Cancer (3 papers)Cell Death and Disease (2 papers)Nature Communications (1 paper)Histopathology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junming Bi
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 35
- Cancer Research 262
- Molecular Biology 587
- Immunology 52
- Oncology 60
- Surgery 95
Countries citing papers authored by Junming Bi
This map shows the geographic impact of Junming Bi'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 Junming Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junming Bi more than expected).
Fields of papers citing papers by Junming Bi
This network shows the impact of papers produced by Junming Bi. 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 Junming Bi. The network helps show where Junming Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Junming Bi, 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 | 2018 | 331 | |
| 2 | 2018 | 139 | |
| 3 | 2019 | 136 | |
| 4 | 2019 | 125 | |
| 5 | 2018 | 104 | |
| 6 | 2018 | 82 | |
| 7 | 2019 | 75 | |
| 8 | 2018 | 61 | |
| 9 | 2018 | 48 | |
| 10 | 2020 | 42 | |
| 11 | 2019 | 40 | |
| 12 | 2021 | 33 | |
| 13 | 2023 | 15 | |
| 14 | 2019 | 10 | |
| 15 | 2025 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2018 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2023 | 3 |
About Junming Bi
Junming Bi is a scholar working on Molecular Biology, Cancer Research, Surfaces, Coatings and Films, Surgery and Oncology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Circular RNAs in diseases (9 papers), Cancer-related molecular mechanisms research (3 papers), Bladder and Urothelial Cancer Treatments (2 papers), Surface Modification and Superhydrophobicity (2 papers), Cancer Immunotherapy and Biomarkers (1 paper), Prostate Cancer Treatment and Research (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (262 citations), Molecular Biology (587 citations), Immunology (52 citations), Oncology (60 citations) and Surgery (95 citations). Junming Bi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tianxin Lin, Wei Dong, Jian Huang, Meihua Yang, Ning Jiang, Qingqing He, Wang He, Hongwei Liu, Hongwei Liu and Guangzheng Zhong. Their work appears in journals such as Aging, Molecular Cancer, Cell Death and Disease, Nature Communications and Histopathology.
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.