Jingwang Bi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
Papers in
- Oncology 14
- Lymphatic System and Diseases 3
- Colorectal Cancer Treatments and Studies 3
- Lung Cancer Research Studies 3
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- RNA Research and Splicing 5
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 3
- Co-authors
- Baocheng Wang (14 shared papers)Huili Chu (8 shared papers)Kainan Li (9 shared papers)Yan Guo (3 shared papers)Baocheng Wang (2 shared papers)Yaping Guan (2 shared papers)Jun Wang (1 shared paper)Jun Wang (4 shared papers)
- Journals
- Medicine (4 papers)Molecular Biology Reports (3 papers)Tumor Biology (2 papers)PLoS ONE (2 papers)Aging (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jingwang Bi
27 papers receiving 980 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 334
- Oncology 321
- Molecular Biology 619
- Pulmonary and Respiratory Medicine 220
- Pathology and Forensic Medicine 80
Countries citing papers authored by Jingwang Bi
This map shows the geographic impact of Jingwang 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 Jingwang Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingwang Bi more than expected).
Fields of papers citing papers by Jingwang Bi
This network shows the impact of papers produced by Jingwang 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 Jingwang Bi. The network helps show where Jingwang Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingwang 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
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 222 | |
| 2 | 2018 | 108 | |
| 3 | 2011 | 63 | |
| 4 | 2010 | 63 | |
| 5 | 2013 | 52 | |
| 6 | 2010 | 47 | |
| 7 | 2012 | 43 | |
| 8 | 2012 | 43 | |
| 9 | 2012 | 41 | |
| 10 | 2011 | 40 | |
| 11 | 2010 | 26 | |
| 12 | 2016 | 25 | |
| 13 | 2012 | 24 | |
| 14 | 2016 | 22 | |
| 15 | 2013 | 22 | |
| 16 | 2019 | 21 | |
| 17 | 2013 | 18 | |
| 18 | 2016 | 18 | |
| 19 | 2017 | 17 | |
| 20 | 2011 | 16 |
About Jingwang Bi
Jingwang Bi is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 27 papers that have together received 989 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), Genetic factors in colorectal cancer (4 papers), Lung Cancer Treatments and Mutations (4 papers), Lymphatic System and Diseases (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Epigenetics and DNA Methylation (3 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Cancer Research (334 citations), Oncology (321 citations), Molecular Biology (619 citations), Pulmonary and Respiratory Medicine (220 citations) and Pathology and Forensic Medicine (80 citations). Jingwang Bi has collaborated with scholars based in China and United States. Frequent co-authors include Baocheng Wang, Huili Chu, Kainan Li, Yan Guo, Baocheng Wang, Yaping Guan, Jun Wang, Jun Wang, Jun Wang and Cong Zhang. Their work appears in journals such as Medicine, Molecular Biology Reports, Tumor Biology, PLoS ONE and Aging.
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.