Phillip Stafford
- Molecular Biology top 10%
- Physiology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Cancer Research top 5%
- Oncology
- Co-authors
- Stephen Albert JohnstonAdrienne C. ScheckMohammed G. AbdelwahabMark C. PreulJong M. RhoJoseph Barten LegutkiRebecca F. HalperinKathryn E. Fenton
- Topics
- Monoclonal and Polyclonal Antibodies Research (22 papers)Advanced Biosensing Techniques and Applications (22 papers)Gene expression and cancer classification (14 papers)
- Partner nations
- United StatesQatarCanada
In The Last Decade
Phillip Stafford
75 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 1.3k
- Physiology 430
- Radiology, Nuclear Medicine and Imaging 427
- Cancer Research 380
- Oncology 224
Countries citing papers authored by Phillip Stafford
This map shows the geographic impact of Phillip Stafford'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 Phillip Stafford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Stafford more than expected).
Fields of papers citing papers by Phillip Stafford
This network shows the impact of papers produced by Phillip Stafford. 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 Phillip Stafford. The network helps show where Phillip Stafford may publish in the future.
Co-authorship network of co-authors of Phillip Stafford
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Stafford. A scholar is included among the top collaborators of Phillip Stafford based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phillip Stafford. Phillip Stafford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 35 | |
| 5 | 28 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 34 | |
| 9 | 20 | |
| 10 | 13 | |
| 11 | 15 | |
| 12 | 24 | |
| 13 | 35 | |
| 14 | 39 | |
| 15 | 31 | |
| 16 | 86 | |
| 17 | 35 | |
| 18 | 20 | |
| 19 | 168 | |
| 20 | 108 |
About Phillip Stafford
Phillip Stafford is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Molecular Biology, having authored 79 papers that have together received 2.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (22 papers), Advanced Biosensing Techniques and Applications (22 papers) and Gene expression and cancer classification (14 papers). The work is most often cited by research in Cancer Research (380 citations), Radiology, Nuclear Medicine and Imaging (427 citations) and Molecular Biology (1.3k citations). Phillip Stafford has collaborated with scholars based in United States, Qatar and Canada. Frequent co-authors include Stephen Albert Johnston, Adrienne C. Scheck, Mohammed G. Abdelwahab, Mark C. Preul, Jong M. Rho, Joseph Barten Legutki, Rebecca F. Halperin, Kathryn E. Fenton, Neal W. Woodbury and Andy G. Lynch. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature 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.