M. J. Selby
- Oncology top 5%
- Immunology top 5%
- Human-Computer Interaction top 1%
- General Health Professions top 5%
- Molecular Biology
- Co-authors
- Alan J. KormanCélia BoyerRon D. AppelMichael QuigleyKarla A. HenningM. S. SrinivasanJohn EngelhardtTseng-hui Timothy Chen
- Topics
- Stellar, planetary, and galactic studies (15 papers)Astronomical Observations and Instrumentation (14 papers)Calibration and Measurement Techniques (13 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
M. J. Selby
62 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Oncology 864
- Immunology 860
- Human-Computer Interaction 326
- General Health Professions 298
- Molecular Biology 238
Countries citing papers authored by M. J. Selby
This map shows the geographic impact of M. J. Selby'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 M. J. Selby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. J. Selby more than expected).
Fields of papers citing papers by M. J. Selby
This network shows the impact of papers produced by M. J. Selby. 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 M. J. Selby. The network helps show where M. J. Selby may publish in the future.
Co-authorship network of co-authors of M. J. Selby
This figure shows the co-authorship network connecting the top 25 collaborators of M. J. Selby. A scholar is included among the top collaborators of M. J. Selby 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 M. J. Selby. M. J. Selby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 242 | |
| 3 | Designing for slowness, anticipation and re-visitation | 3 |
| 4 | Anti-CTLA-4 Antibodies of IgG2a Isotype Enhance Antitumor Activity through Reduction of Intratumoral Regulatory T Cellsbreakdown → | 670 |
| 5 | 197 | |
| 6 | 7 | |
| 7 | 316 | |
| 8 | 23 | |
| 9 | 10 μm Observations of SL9 Impacts with CAMIRAS at NOT | 2 |
| 10 | 5 | |
| 11 | Infrared observations in the Canary Islands | 3 |
| 12 | Narrow band 1 mu.m-4 mu.m infrared photometry of 176 stars. | 2 |
| 13 | 34 | |
| 14 | Evaluation of the 1 micron - 5 micron windows at observatory altitudes in the Canary Islands | 0 |
| 15 | Infrared observations of the thermal emission from the corona | 2 |
| 16 | 10 | |
| 17 | 5 | |
| 18 | 9 | |
| 19 | 4 | |
| 20 | 2 |
About M. J. Selby
M. J. Selby is a scholar working on Instrumentation, Astronomy and Astrophysics and Human-Computer Interaction, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include Stellar, planetary, and galactic studies (15 papers), Astronomical Observations and Instrumentation (14 papers) and Calibration and Measurement Techniques (13 papers). The work is most often cited by research in Human-Computer Interaction (326 citations), Immunology (860 citations) and Oncology (864 citations). M. J. Selby has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Alan J. Korman, Célia Boyer, Ron D. Appel, Michael Quigley, Karla A. Henning, M. S. Srinivasan, John Engelhardt, Tseng-hui Timothy Chen, Gary M. Hieftje and J R Scherrer. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.