Beiying Ding
Impact in
-
- Bone health and osteoporosis research
- Bone and Joint Diseases
- Oncology top 2%
- Bone health and treatments
- Cancer Immunotherapy and Biomarkers
Papers in
- Co-authors
- Paul D. Miller (5 shared papers)Michael A. Bolognese (5 shared papers)Javier San Martín (5 shared papers)E. Michael Lewiecki (5 shared papers)Michael R. McClung (4 shared papers)Yu Liu (1 shared paper)Matthew Austin (1 shared paper)Rachel B. Wagman (5 shared papers)
- Journals
- Journal of Clinical Oncology (11 papers)Annals of Oncology (5 papers)Ophthalmology (3 papers)Journal of Thoracic Oncology (2 papers)Journal of Bone and Mineral Research (2 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Beiying Ding
49 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 99
- Orthopedics and Sports Medicine 739
- Oncology 1.3k
- Ophthalmology 258
- Hepatology 101
- Radiology, Nuclear Medicine and Imaging 287
Countries citing papers authored by Beiying Ding
This map shows the geographic impact of Beiying Ding'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 Beiying Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beiying Ding more than expected).
Fields of papers citing papers by Beiying Ding
This network shows the impact of papers produced by Beiying Ding. 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 Beiying Ding. The network helps show where Beiying Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Beiying Ding, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 427 | |
| 2 | 2017 | 214 | |
| 3 | 2010 | 173 | |
| 4 | 2018 | 115 | |
| 5 | 2010 | 104 | |
| 6 | 2018 | 98 | |
| 7 | 2007 | 97 | |
| 8 | 2012 | 84 | |
| 9 | 2005 | 68 | |
| 10 | 2015 | 59 | |
| 11 | 2011 | 57 | |
| 12 | 2016 | 46 | |
| 13 | 2021 | 45 | |
| 14 | 2008 | 42 | |
| 15 | 2007 | 41 | |
| 16 | 2016 | 38 | |
| 17 | 2020 | 29 | |
| 18 | 2018 | 28 | |
| 19 | 2020 | 26 | |
| 20 | 2020 | 21 |
About Beiying Ding
Beiying Ding is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Genetics and Molecular Biology, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (16 papers), Bladder and Urothelial Cancer Treatments (11 papers), Neutropenia and Cancer Infections (10 papers), Blood disorders and treatments (8 papers), Bone health and treatments (7 papers), Bone health and osteoporosis research (6 papers), Urinary and Genital Oncology Studies (6 papers) and Bone Metabolism and Diseases (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (739 citations), Oncology (1.3k citations), Ophthalmology (258 citations), Hepatology (101 citations) and Radiology, Nuclear Medicine and Imaging (287 citations). Beiying Ding has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Paul D. Miller, Michael A. Bolognese, Javier San Martín, E. Michael Lewiecki, Michael R. McClung, Yu Liu, Matthew Austin, Rachel B. Wagman, Robert Gentleman and Yohann Loriot. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Ophthalmology, Journal of Thoracic Oncology and Journal of Bone and Mineral Research.
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.