James M. Dickson
- Cognitive Neuroscience top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Social Psychology top 10%
- Co-authors
- Heather A. DruryDavid C. Van EssenCharles H. AndersonJohn HarwellEdward N. BakerC.J. SquireJack U. FlanaganIvan Ivanović
- Topics
- PI3K/AKT/mTOR signaling in cancer (7 papers)Chronic Lymphocytic Leukemia Research (5 papers)Biochemical and Molecular Research (5 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingExperimental and Cognitive Psychology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- New ZealandCanadaAustralia
In The Last Decade
James M. Dickson
33 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Cognitive Neuroscience 853
- Molecular Biology 544
- Radiology, Nuclear Medicine and Imaging 259
- Oncology 143
- Social Psychology 118
Countries citing papers authored by James M. Dickson
This map shows the geographic impact of James M. Dickson'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 James M. Dickson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James M. Dickson more than expected).
Fields of papers citing papers by James M. Dickson
This network shows the impact of papers produced by James M. Dickson. 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 James M. Dickson. The network helps show where James M. Dickson may publish in the future.
Co-authorship network of co-authors of James M. Dickson
This figure shows the co-authorship network connecting the top 25 collaborators of James M. Dickson. A scholar is included among the top collaborators of James M. Dickson 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 James M. Dickson. James M. Dickson 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 | 1 | |
| 3 | 7 | |
| 4 | 33 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 13 | |
| 8 | 108 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 22 | |
| 12 | 13 | |
| 13 | 11 | |
| 14 | 28 | |
| 15 | 11 | |
| 16 | 89 | |
| 17 | An Integrated Software Suite for Surface-based Analyses of Cerebral Cortexbreakdown → | 968 |
| 18 | 44 | |
| 19 | 7 | |
| 20 | 24 |
About James M. Dickson
James M. Dickson is a scholar working on Computer Graphics and Computer-Aided Design, Genetics and Infectious Diseases, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Biochemical and Molecular Research (5 papers). The work is most often cited by research in Cognitive Neuroscience (853 citations), Radiology, Nuclear Medicine and Imaging (259 citations) and Experimental and Cognitive Psychology (115 citations). James M. Dickson has collaborated with scholars based in New Zealand, Canada and Australia. Frequent co-authors include Heather A. Drury, David C. Van Essen, Charles H. Anderson, John Harwell, Edward N. Baker, C.J. Squire, Jack U. Flanagan, Ivan Ivanović, David Greenwood and Ghader Bashiri. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.