Bo Pan
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
- Oncology 38
- HER2/EGFR in Cancer Research 13
- Cancer Cells and Metastasis 9
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- Receptor Mechanisms and Signaling 6
- Co-authors
- Chao Deng (12 shared papers)Xu‐Feng Huang (10 shared papers)Jingyan Cao (6 shared papers)Dehai Che (5 shared papers)Yidong Zhou (16 shared papers)Feng Mao (12 shared papers)Changjun Wang (14 shared papers)Yan Yu (6 shared papers)
- Journals
- Oncotarget (6 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)Cancer Cell International (3 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Bo Pan
93 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 548
- Oncology 775
- Biological Psychiatry 61
- Rehabilitation 109
- Dermatology 122
Countries citing papers authored by Bo Pan
This map shows the geographic impact of Bo Pan'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 Bo Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Pan more than expected).
Fields of papers citing papers by Bo Pan
This network shows the impact of papers produced by Bo Pan. 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 Bo Pan. The network helps show where Bo Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo Pan, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 161 | |
| 2 | 2015 | 131 | |
| 3 | 2016 | 100 | |
| 4 | 2014 | 74 | |
| 5 | 2023 | 69 | |
| 6 | 2015 | 60 | |
| 7 | 2018 | 53 | |
| 8 | 2015 | 51 | |
| 9 | 2017 | 50 | |
| 10 | 2019 | 48 | |
| 11 | 2013 | 46 | |
| 12 | 2016 | 42 | |
| 13 | 2019 | 39 | |
| 14 | 2019 | 38 | |
| 15 | 2018 | 34 | |
| 16 | 2022 | 32 | |
| 17 | 2021 | 30 | |
| 18 | 2011 | 30 | |
| 19 | 2018 | 29 | |
| 20 | 2015 | 29 |
About Bo Pan
Bo Pan is a scholar working on Oncology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 96 papers that have together received 1.9k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (14 papers), HER2/EGFR in Cancer Research (13 papers), Cancer Cells and Metastasis (9 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Cancer Genomics and Diagnostics (9 papers), Breast Lesions and Carcinomas (9 papers), Receptor Mechanisms and Signaling (6 papers) and Wound Healing and Treatments (6 papers). The work is most often cited by research in Cancer Research (548 citations), Oncology (775 citations), Biological Psychiatry (61 citations), Rehabilitation (109 citations) and Dermatology (122 citations). Bo Pan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chao Deng, Xu‐Feng Huang, Jingyan Cao, Dehai Che, Yidong Zhou, Feng Mao, Changjun Wang, Yan Yu, Yan Yu and Jin Shi. Their work appears in journals such as Oncotarget, Scientific Reports, PLoS ONE, Cancer Cell International and OncoTargets and Therapy.
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.