Jeffrey P. Leal
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 10%
- Psychiatry and Mental health top 5%
- Oncology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- Jonathan M. LinksRichard L. WahlElliot R. McVeighChristos DavatzikosJ. James FrostJerry L. PrinceHenry N. WagnerMedhat Osman
- Topics
- Medical Imaging Techniques and Applications (32 papers)Radiomics and Machine Learning in Medical Imaging (24 papers)Prostate Cancer Treatment and Research (9 papers)
- Journals
- Journal of Clinical OncologyPLoS ONEInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jeffrey P. Leal
51 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Radiology, Nuclear Medicine and Imaging 1.1k
- Pulmonary and Respiratory Medicine 354
- Psychiatry and Mental health 278
- Oncology 260
- Cognitive Neuroscience 251
Countries citing papers authored by Jeffrey P. Leal
This map shows the geographic impact of Jeffrey P. Leal'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 Jeffrey P. Leal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey P. Leal more than expected).
Fields of papers citing papers by Jeffrey P. Leal
This network shows the impact of papers produced by Jeffrey P. Leal. 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 Jeffrey P. Leal. The network helps show where Jeffrey P. Leal may publish in the future.
Co-authorship network of co-authors of Jeffrey P. Leal
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey P. Leal. A scholar is included among the top collaborators of Jeffrey P. Leal 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 Jeffrey P. Leal. Jeffrey P. Leal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 9 | |
| 3 | 23 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 39 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 19 | |
| 11 | 12 | |
| 12 | 43 | |
| 13 | 15 | |
| 14 | 23 | |
| 15 | 18 | |
| 16 | 49 | |
| 17 | 26 | |
| 18 | 40 | |
| 19 | SUL-PEAK, -MAX and -PAX in PERCIST 1.0: An ROC analysis | 1 |
| 20 | 18 |
About Jeffrey P. Leal
Jeffrey P. Leal is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (32 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and Prostate Cancer Treatment and Research (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Psychiatry and Mental health (278 citations) and Cognitive Neuroscience (251 citations). Jeffrey P. Leal has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jonathan M. Links, Richard L. Wahl, Elliot R. McVeigh, Christos Davatzikos, J. James Frost, Jerry L. Prince, Henry N. Wagner, Medhat Osman, Helen S. Mayberg and Carolyn C. Meltzer. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics.
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.