Kevin D. Staton
- Radiology, Nuclear Medicine and Imaging top 10%
- Cancer Research
- Oncology
- Neurology top 10%
- Epidemiology
- Co-authors
- Jason S. LewisWolfgang WeberSerge K. LyashchenkoPat ZanzonicoNeeta Pandit‐TaskarEva BurnaziDiane Reidy‐LagunesHanwen Zhang
- Topics
- Medical Imaging Techniques and Applications (6 papers)Digital Holography and Microscopy (5 papers)Radiopharmaceutical Chemistry and Applications (4 papers)
- Cited by
- Cancer ResearchNeurologyBiophysics
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Kevin D. Staton
20 papers receiving 384 citations
Peers
Comparison fields: 5 of 57
- Radiology, Nuclear Medicine and Imaging 125
- Cancer Research 124
- Oncology 104
- Neurology 96
- Epidemiology 87
Countries citing papers authored by Kevin D. Staton
This map shows the geographic impact of Kevin D. Staton'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 Kevin D. Staton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin D. Staton more than expected).
Fields of papers citing papers by Kevin D. Staton
This network shows the impact of papers produced by Kevin D. Staton. 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 Kevin D. Staton. The network helps show where Kevin D. Staton may publish in the future.
Co-authorship network of co-authors of Kevin D. Staton
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Staton. A scholar is included among the top collaborators of Kevin D. Staton 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 Kevin D. Staton. Kevin D. Staton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 71 | |
| 4 | 25 | |
| 5 | 9 | |
| 6 | Preclinical development and First-in-human imaging of 89Zr-Daratumumab for CD38 targeted imaging of myeloma | 10 |
| 7 | 82 | |
| 8 | 86 | |
| 9 | 22 | |
| 10 | Quantitative analysis of blood-borne 18F-FMISO metabolites in cancer patients by HPLC using an integrated high-sensitivity coincidence detector | 1 |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 4 | |
| 18 | 3 | |
| 19 | 33 | |
| 20 | 0 |
About Kevin D. Staton
Kevin D. Staton is a scholar working on Structural Biology, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 390 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (6 papers), Digital Holography and Microscopy (5 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). The work is most often cited by research in Cancer Research (124 citations), Neurology (96 citations) and Biophysics (33 citations). Kevin D. Staton has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Jason S. Lewis, Wolfgang Weber, Serge K. Lyashchenko, Pat Zanzonico, Neeta Pandit‐Taskar, Eva Burnazi, Diane Reidy‐Lagunes, Hanwen Zhang, Rajan K. Bista and Simone Krebs. Their work appears in journals such as Applied Physics Letters, Gastroenterology and Radiology.
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.