Nathan C. Nieto
- Parasitology top 0.5%
- Infectious Diseases top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Public Health, Environmental and Occupational Health top 5%
- Insect Science top 5%
- Co-authors
- Janet E. FoleyDaniel J. SalkeldW. Tanner PorterMike B. TeglasPatrick FoleyTinna TraustadóttirMatthew J. GageAaron J. Done
- Topics
- Vector-borne infectious diseases (44 papers)Viral Infections and Vectors (41 papers)Vector-Borne Animal Diseases (18 papers)
- Partner nations
- United StatesDenmarkEcuador
In The Last Decade
Nathan C. Nieto
60 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Parasitology 951
- Infectious Diseases 850
- Ecology, Evolution, Behavior and Systematics 323
- Public Health, Environmental and Occupational Health 277
- Insect Science 209
Countries citing papers authored by Nathan C. Nieto
This map shows the geographic impact of Nathan C. Nieto'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 Nathan C. Nieto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan C. Nieto more than expected).
Fields of papers citing papers by Nathan C. Nieto
This network shows the impact of papers produced by Nathan C. Nieto. 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 Nathan C. Nieto. The network helps show where Nathan C. Nieto may publish in the future.
Co-authorship network of co-authors of Nathan C. Nieto
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan C. Nieto. A scholar is included among the top collaborators of Nathan C. Nieto 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 Nathan C. Nieto. Nathan C. Nieto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 3 | |
| 3 | 22 | |
| 4 | 44 | |
| 5 | 12 | |
| 6 | 11 | |
| 7 | 14 | |
| 8 | 36 | |
| 9 | Where Are the Ticks? Solving the Mystery of a Tickborne Relapsing Fever Outbreak at a Youth Camp. | 5 |
| 10 | 14 | |
| 11 | 29 | |
| 12 | 12 | |
| 13 | 23 | |
| 14 | 5 | |
| 15 | 12 | |
| 16 | 22 | |
| 17 | 33 | |
| 18 | 64 | |
| 19 | 15 | |
| 20 | 20 |
About Nathan C. Nieto
Nathan C. Nieto is a scholar working on Parasitology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (44 papers), Viral Infections and Vectors (41 papers) and Vector-Borne Animal Diseases (18 papers). The work is most often cited by research in Parasitology (951 citations), Infectious Diseases (850 citations) and Insect Science (209 citations). Nathan C. Nieto has collaborated with scholars based in United States, Denmark and Ecuador. Frequent co-authors include Janet E. Foley, Daniel J. Salkeld, W. Tanner Porter, Mike B. Teglas, Patrick Foley, Tinna Traustadóttir, Matthew J. Gage, Aaron J. Done, Talima Pearson and Verónica Barragán. Their work appears in journals such as Science, 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.