Bei-Qing Pan

1.3k citations
14 papers · 931 · h-index 12

Impact in

Papers in

    • Bone Metabolism and Diseases 3
    • RNA modifications and cancer 3
    • Bone health and treatments 2
    • Pancreatic and Hepatic Oncology Research 1

Bei-Qing Pan

14 papers receiving 919 citations

Peers

Bei-Qing Pan
Comparison fields: 5 of 77
  • Oncology 500
  • Orthopedics and Sports Medicine 154
  • Hematology 134
  • Molecular Biology 426
  • Pathology and Forensic Medicine 89
Replace Changpu Yu with:
Changpu Yu United States
Yasuhiro Tada Japan
Emerence Crompot Belgium
Caroline Wilson United Kingdom
Ivana Zavrski Germany
Amanda Farrugia Australia
Dominique Ledoux France
Μαρία Γκοτζαμανίδου Greece
Manali Bendre United States
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Citations per field
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Citations per year

Countries citing papers authored by Bei-Qing Pan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bei-Qing Pan Line = papers co-authored together Bei-Qing Pan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2003202
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.
2003176
3 2004138
4 2012123
5 200396
6 201260
7 201445
8
Secondary tumors of the pancreas: a case series.
201221
9 201820
10 200617
11 201915
12 201813
13 20154
14 20211

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 931 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (3 papers), RNA modifications and cancer (3 papers), Multiple Myeloma Research and Treatments (2 papers), Bone health and treatments (2 papers), Bone and Joint Diseases (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Renal cell carcinoma treatment (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Oncology (500 citations), Orthopedics and Sports Medicine (154 citations), Hematology (134 citations), Molecular Biology (426 citations) and Pathology and Forensic Medicine (89 citations). Bei-Qing Pan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include David M. Findlay, Andrew C.W. Zannettino, 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 Bone, Clinical Cancer Research, Journal of Bone and Mineral Research, Journal of Clinical Oncology and Biochemical and Biophysical Research Communications.

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.

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