Maurice K. Gately
- Immunology top 0.05%
- Oncology top 0.5%
- Epidemiology top 1%
- Molecular Biology top 5%
- Genetics top 1%
- Co-authors
- Ueli GublerJeanne MagramRajeev R. WarrierDavid H. PreskyLuciano AdoriniR ChizzoniteA S SternMichael J. Brunda
- Topics
- Immune Cell Function and Interaction (52 papers)T-cell and B-cell Immunology (31 papers)Toxin Mechanisms and Immunotoxins (30 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Maurice K. Gately
114 papers receiving 15.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Immunology 11.9k
- Oncology 3.4k
- Epidemiology 2.5k
- Molecular Biology 2.3k
- Genetics 1.6k
Countries citing papers authored by Maurice K. Gately
This map shows the geographic impact of Maurice K. Gately'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 Maurice K. Gately with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurice K. Gately more than expected).
Fields of papers citing papers by Maurice K. Gately
This network shows the impact of papers produced by Maurice K. Gately. 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 Maurice K. Gately. The network helps show where Maurice K. Gately may publish in the future.
Co-authorship network of co-authors of Maurice K. Gately
This figure shows the co-authorship network connecting the top 25 collaborators of Maurice K. Gately. A scholar is included among the top collaborators of Maurice K. Gately 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 Maurice K. Gately. Maurice K. Gately is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 109 | |
| 3 | 33 | |
| 4 | 412 | |
| 5 | 21 | |
| 6 | 74 | |
| 7 | 152 | |
| 8 | 369 | |
| 9 | 27 | |
| 10 | 30 | |
| 11 | 183 | |
| 12 | Interleukin-12: a cytokine with therapeutic potential in oncology and infectious diseases. | 50 |
| 13 | 206 | |
| 14 | 255 | |
| 15 | Antitumor and antimetastatic activity of interleukin 12 against murine tumors.breakdown → | 1031 |
| 16 | Recombinant interleukin 12 cures mice infected with Leishmania major.breakdown → | 673 |
| 17 | 2 | |
| 18 | 70 | |
| 19 | 32 | |
| 20 | 19 |
About Maurice K. Gately
Maurice K. Gately is a scholar working on Immunology, Immunology and Allergy and Biotechnology, having authored 114 papers that have together received 16.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (52 papers), T-cell and B-cell Immunology (31 papers) and Toxin Mechanisms and Immunotoxins (30 papers). The work is most often cited by research in Immunology (11.9k citations), Oncology (3.4k citations) and Immunology and Allergy (734 citations). Maurice K. Gately has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Ueli Gubler, Jeanne Magram, Rajeev R. Warrier, David H. Presky, Luciano Adorini, R Chizzonite, A S Stern, Michael J. Brunda, Brian Hubbard and S F Wolf. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.