Kevin R. Macaluso
- Parasitology top 0.1%
- Infectious Diseases top 1%
- Insect Science top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Genetics top 5%
- Co-authors
- Abdu F. AzadDaniel E. SonenshineKathryn E. ReifLane D. FoilLisa D. BrownShane M. CeraulJason A. SimserAlbert Mulenga
- Topics
- Vector-borne infectious diseases (75 papers)Insect symbiosis and bacterial influences (31 papers)Mosquito-borne diseases and control (26 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEApplied and Environmental Microbiology
- Partner nations
- United StatesThailandBrazil
In The Last Decade
Kevin R. Macaluso
81 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 74
- Parasitology 2.1k
- Infectious Diseases 1.1k
- Insect Science 943
- Public Health, Environmental and Occupational Health 680
- Genetics 497
Countries citing papers authored by Kevin R. Macaluso
This map shows the geographic impact of Kevin R. Macaluso'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 Kevin R. Macaluso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin R. Macaluso more than expected).
Fields of papers citing papers by Kevin R. Macaluso
This network shows the impact of papers produced by Kevin R. Macaluso. 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 Kevin R. Macaluso. The network helps show where Kevin R. Macaluso may publish in the future.
Co-authorship network of co-authors of Kevin R. Macaluso
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin R. Macaluso. A scholar is included among the top collaborators of Kevin R. Macaluso 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 Kevin R. Macaluso. Kevin R. Macaluso 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 | 0 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | 20 | |
| 10 | 34 | |
| 11 | 4 | |
| 12 | 39 | |
| 13 | 31 | |
| 14 | 36 | |
| 15 | 22 | |
| 16 | 66 | |
| 17 | 7 | |
| 18 | 54 | |
| 19 | 45 | |
| 20 | 60 |
About Kevin R. Macaluso
Kevin R. Macaluso is a scholar working on Parasitology, Insect Science and Infectious Diseases, having authored 85 papers that have together received 2.5k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (75 papers), Insect symbiosis and bacterial influences (31 papers) and Mosquito-borne diseases and control (26 papers). The work is most often cited by research in Parasitology (2.1k citations), Insect Science (943 citations) and Infectious Diseases (1.1k citations). Kevin R. Macaluso has collaborated with scholars based in United States, Thailand and Brazil. Frequent co-authors include Abdu F. Azad, Daniel E. Sonenshine, Kathryn E. Reif, Lane D. Foil, Lisa D. Brown, Shane M. Ceraul, Jason A. Simser, Albert Mulenga, Walairat Pornwiroon and Michael T. Kearney. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.
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.