Nan Bi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
-
- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
Papers in
-
- Lung Cancer Diagnosis and Treatment 46
- Lung Cancer Treatments and Mutations 30
- Brain Metastases and Treatment 14
- Oncology 56
- Lung Cancer Research Studies 37
- Co-authors
- Lühua Wang (76 shared papers)Zongmei Zhou (62 shared papers)Yongmei Song (9 shared papers)Feng‐Ming Kong (17 shared papers)Jima Lv (28 shared papers)Qinfu Feng (42 shared papers)Jun Liang (39 shared papers)Dongfu Chen (34 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (34 papers)Frontiers in Oncology (14 papers)Journal of Clinical Oncology (10 papers)Radiotherapy and Oncology (8 papers)BMC Cancer (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Nan Bi
190 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 119
- Cancer Research 437
- Pulmonary and Respiratory Medicine 916
- Oncology 618
- Radiation 212
- Radiology, Nuclear Medicine and Imaging 422
Countries citing papers authored by Nan Bi
This map shows the geographic impact of Nan 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 Nan Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Bi more than expected).
Fields of papers citing papers by Nan Bi
This network shows the impact of papers produced by Nan 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 Nan Bi. The network helps show where Nan Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Nan 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 214 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 272 | |
| 2 | 2020 | 163 | |
| 3 | 2017 | 150 | |
| 4 | 2021 | 147 | |
| 5 | 2013 | 109 | |
| 6 | 2017 | 79 | |
| 7 | 2016 | 79 | |
| 8 | 2011 | 73 | |
| 9 | 2021 | 72 | |
| 10 | 2010 | 63 | |
| 11 | 2014 | 60 | |
| 12 | 2012 | 57 | |
| 13 | 2017 | 55 | |
| 14 | 2004 | 54 | |
| 15 | 2010 | 48 | |
| 16 | 2018 | 46 | |
| 17 | 2021 | 43 | |
| 18 | 2010 | 42 | |
| 19 | 2018 | 42 | |
| 20 | 2019 | 39 |
About Nan Bi
Nan Bi is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 214 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (46 papers), Lung Cancer Research Studies (37 papers), Lung Cancer Treatments and Mutations (30 papers), Esophageal Cancer Research and Treatment (27 papers), Advanced Radiotherapy Techniques (18 papers), Brain Metastases and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Effects of Radiation Exposure (11 papers). The work is most often cited by research in Cancer Research (437 citations), Pulmonary and Respiratory Medicine (916 citations), Oncology (618 citations), Radiation (212 citations) and Radiology, Nuclear Medicine and Imaging (422 citations). Nan Bi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lühua Wang, Zongmei Zhou, Yongmei Song, Feng‐Ming Kong, Jima Lv, Qinfu Feng, Jun Liang, Dongfu Chen, Jiuming He and Yanhua Chen. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Frontiers in Oncology, Journal of Clinical Oncology, Radiotherapy and Oncology and BMC Cancer.
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.