Nan Bi
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- Lung Cancer Diagnosis and Treatment 84
- Lung Cancer Treatments and Mutations 65
- Brain Metastases and Treatment 19
- Gastric Cancer Management and Outcomes 19
- Cancer Research top 5%
- Radiation top 2%
- Advanced Radiotherapy Techniques 29
- Oncology top 5%
- Lung Cancer Research Studies 53
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- Radiomics and Machine Learning in Medical Imaging 23
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- Esophageal Cancer Research and Treatment 27
- Journals
- International Journal of Radiation Oncology*Biology*Physics (34 papers)Frontiers in Oncology (14 papers)Journal of Clinical Oncology (10 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Nan Bi
181 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 127
- Pulmonary and Respiratory Medicine 1.4k
- Cancer Research 564
- Radiation 325
- Oncology 901
- Radiology, Nuclear Medicine and Imaging 633
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 25 | |
| 16 | 2022 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2018 | 2 | |
| 19 | 2017 | 2 | |
| 20 | Effect of Midtreatment PET/CT-Adapted Radiation Therapy With Concurrent Chemotherapy in Patients With Locally Advanced Non–Small-Cell Lung Cancer | 2017 | 9 |
About Nan Bi
Nan Bi is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Oncology, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 211 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (84 papers), Lung Cancer Treatments and Mutations (65 papers), Lung Cancer Research Studies (53 papers), Advanced Radiotherapy Techniques (29 papers), Esophageal Cancer Research and Treatment (27 papers), Radiomics and Machine Learning in Medical Imaging (23 papers), Brain Metastases and Treatment (19 papers) and Gastric Cancer Management and Outcomes (19 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.4k citations), Cancer Research (564 citations), Radiation (325 citations), Oncology (901 citations) and Radiology, Nuclear Medicine and Imaging (633 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, Yanhua Chen and Ruiping Zhang. 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.