Michael R. Treat
- Surgery top 2%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Lawrence S. BassMarc BesslerRoman NowygrodKenneth A. FordeAlfred I. NeugutMehmet C. ÖzGail GarbowskiJohn Allendorf
- Topics
- Laser Applications in Dentistry and Medicine (27 papers)Colorectal Cancer Screening and Detection (16 papers)Dermatologic Treatments and Research (16 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Michael R. Treat
110 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 140
- Surgery 1.4k
- Oncology 1.1k
- Pulmonary and Respiratory Medicine 951
- Radiology, Nuclear Medicine and Imaging 672
- Pathology and Forensic Medicine 430
Countries citing papers authored by Michael R. Treat
This map shows the geographic impact of Michael R. Treat'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 Michael R. Treat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Treat more than expected).
Fields of papers citing papers by Michael R. Treat
This network shows the impact of papers produced by Michael R. Treat. 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 Michael R. Treat. The network helps show where Michael R. Treat may publish in the future.
Co-authorship network of co-authors of Michael R. Treat
This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Treat. A scholar is included among the top collaborators of Michael R. Treat 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 Michael R. Treat. Michael R. Treat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 65 | |
| 3 | A high-resolution radiation hybrid map for swine | 4 |
| 4 | 12 | |
| 5 | 137 | |
| 6 | 7 | |
| 7 | 19 | |
| 8 | 8 | |
| 9 | 22 | |
| 10 | 109 | |
| 11 | 238 | |
| 12 | 82 | |
| 13 | 128 | |
| 14 | 21 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | Indocyanine green dye-enhanced welding with a diode laser | 14 |
| 18 | 16 | |
| 19 | 31 | |
| 20 | 39 |
About Michael R. Treat
Michael R. Treat is a scholar working on Dermatology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 111 papers that have together received 3.2k indexed citations. Recurring topics across this work include Laser Applications in Dentistry and Medicine (27 papers), Colorectal Cancer Screening and Detection (16 papers) and Dermatologic Treatments and Research (16 papers). The work is most often cited by research in Oncology (1.1k citations), Surgery (1.4k citations) and Radiology, Nuclear Medicine and Imaging (672 citations). Michael R. Treat has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lawrence S. Bass, Marc Bessler, Roman Nowygrod, Kenneth A. Forde, Alfred I. Neugut, Mehmet C. Öz, Gail Garbowski, John Allendorf, D. A. Laird and Jerome D. Waye. Their work appears in journals such as New England Journal of Medicine, Gastroenterology and Applied and Environmental Microbiology.
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.