Bei-Qing Pan
Impact in
-
- Bone health and osteoporosis research
- Bone and Joint Diseases
- Oncology top 5%
- Bone health and treatments
- Peptidase Inhibition and Analysis
Papers in
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- Bone Metabolism and Diseases 4
- RNA modifications and cancer 3
- Protein Tyrosine Phosphatases 2
- Oncology 8
- Bone health and treatments 3
- Co-authors
- Andrew C.W. Zannettino (5 shared papers)David M. Findlay (5 shared papers)Amanda Farrugia (4 shared papers)Gerald J. Atkins (3 shared papers)Luen Bik To (3 shared papers)P. Kostakis (2 shared papers)Owen A. O’Connor (1 shared paper)Changchun Deng (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Journal of Bone and Mineral Research (2 papers)Bone (2 papers)Journal of Clinical Oncology (1 paper)Pharmacology & Therapeutics (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Bei-Qing Pan
14 papers receiving 912 citations
Peers
Comparison fields: 5 of 78
- Orthopedics and Sports Medicine 202
- Oncology 566
- Hematology 142
- Molecular Biology 482
- Cancer Research 84
Countries citing papers authored by Bei-Qing Pan
This map shows the geographic impact of Bei-Qing 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 Bei-Qing Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei-Qing Pan more than expected).
Fields of papers citing papers by Bei-Qing Pan
This network shows the impact of papers produced by Bei-Qing 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 Bei-Qing Pan. The network helps show where Bei-Qing Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei-Qing 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
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 201 | |
| 2 | Receptor activator of nuclear factor-kappaB ligand expression by human myeloma cells mediates osteoclast formation in vitro and correlates with bone destruction in vivo. | 2003 | 177 |
| 3 | 2004 | 137 | |
| 4 | 2012 | 120 | |
| 5 | 2003 | 96 | |
| 6 | 2012 | 59 | |
| 7 | 2014 | 45 | |
| 8 | 2018 | 20 | |
| 9 | Secondary tumors of the pancreas: a case series. | 2012 | 20 |
| 10 | 2006 | 17 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2015 | 4 | |
| 14 | 2021 | 1 |
About Bei-Qing Pan
Bei-Qing Pan is a scholar working on Molecular Biology, Oncology, Surgery, Pathology and Forensic Medicine and Hematology, having authored 14 papers that have together received 924 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (4 papers), Bone health and treatments (3 papers), RNA modifications and cancer (3 papers), Galectins and Cancer Biology (2 papers), Protein Tyrosine Phosphatases (2 papers), Multiple Myeloma Research and Treatments (2 papers), Orthopaedic implants and arthroplasty (2 papers) and Bone health and osteoporosis research (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (202 citations), Oncology (566 citations), Hematology (142 citations), Molecular Biology (482 citations) and Cancer Research (84 citations). Bei-Qing Pan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Andrew C.W. Zannettino, David M. Findlay, Amanda Farrugia, Gerald J. Atkins, Luen Bik To, P. Kostakis, Owen A. O’Connor, Changchun Deng, Stan Gronthos and Andreas Evdokiou. Their work appears in journals such as Clinical Cancer Research, Journal of Bone and Mineral Research, Bone, Journal of Clinical Oncology and Pharmacology & Therapeutics.
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.