Tony Nolan
- Molecular Biology top 2%
- Insect Science top 0.1%
- Public Health, Environmental and Occupational Health top 1%
- Genetics top 2%
- Immunology top 5%
- Co-authors
- Andrea CrisantiAndrew HammondRoberto GaliziKyros KyrouAustin BurtFlaminia CatterucciaAndrea BeaghtonNace Kranjc
- Topics
- CRISPR and Genetic Engineering (42 papers)Insect symbiosis and bacterial influences (29 papers)Insect Resistance and Genetics (25 papers)
- Cited by
- Insect ScienceBusiness and International ManagementPublic Health, Environmental and Occupational Health
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Tony Nolan
58 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 2.7k
- Insect Science 2.1k
- Public Health, Environmental and Occupational Health 1.2k
- Genetics 756
- Immunology 564
Countries citing papers authored by Tony Nolan
This map shows the geographic impact of Tony Nolan'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 Tony Nolan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Nolan more than expected).
Fields of papers citing papers by Tony Nolan
This network shows the impact of papers produced by Tony Nolan. 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 Tony Nolan. The network helps show where Tony Nolan may publish in the future.
Co-authorship network of co-authors of Tony Nolan
This figure shows the co-authorship network connecting the top 25 collaborators of Tony Nolan. A scholar is included among the top collaborators of Tony Nolan 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 Tony Nolan. Tony Nolan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 82 | |
| 7 | 29 | |
| 8 | 22 | |
| 9 | 26 | |
| 10 | 136 | |
| 11 | 12 | |
| 12 | 5 | |
| 13 | 54 | |
| 14 | 35 | |
| 15 | 7 | |
| 16 | 13 | |
| 17 | 201 | |
| 18 | 49 | |
| 19 | 39 | |
| 20 | An action philosophy model | 0 |
About Tony Nolan
Tony Nolan is a scholar working on Insect Science, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 60 papers that have together received 3.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (42 papers), Insect symbiosis and bacterial influences (29 papers) and Insect Resistance and Genetics (25 papers). The work is most often cited by research in Insect Science (2.1k citations), Business and International Management (90 citations) and Public Health, Environmental and Occupational Health (1.2k citations). Tony Nolan has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Andrea Crisanti, Andrew Hammond, Roberto Galizi, Kyros Kyrou, Austin Burt, Flaminia Catteruccia, Andrea Beaghton, Nace Kranjc, Nikolai Windbichler and Dean A. Baker. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.