Carlos E. Suárez
Impact in
- Parasitology top 0.05%
- Vector-borne infectious diseases
-
- Vector-Borne Animal Diseases
Papers in
- Parasitology 124
- Vector-borne infectious diseases 118
-
- Insect and Pesticide Research 18
- Insect symbiosis and bacterial influences 15
- Co-authors
- Terry F. McElwainGuy H. PalmerWendy C. BrownMónica Florin‐ChristensenDonald P. KnowlesSusan M. NohStephen A. HinesMarta G. Silva
- Journals
- Parasites & Vectors (18 papers)Infection and Immunity (13 papers)Molecular and Biochemical Parasitology (9 papers)International Journal for Parasitology (9 papers)Pathogens (9 papers)
- Partner nations
- United StatesArgentinaEgypt
In The Last Decade
Carlos E. Suárez
162 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 122
- Parasitology 2.9k
- Ecology, Evolution, Behavior and Systematics 1.5k
- Infectious Diseases 1.2k
- Insect Science 633
- Immunology 797
Countries citing papers authored by Carlos E. Suárez
This map shows the geographic impact of Carlos E. Suárez'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 Carlos E. Suárez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos E. Suárez more than expected).
Fields of papers citing papers by Carlos E. Suárez
This network shows the impact of papers produced by Carlos E. Suárez. 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 Carlos E. Suárez. The network helps show where Carlos E. Suárez may publish in the future.
Co-authors
The 25 scholars most cited alongside Carlos E. Suárez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 5 | |
| 8 | Harnessing Mycobacterium bovis BCG Trained Immunity to\nControl Human and Bovine Babesiosis | 2022 | 8 |
| 9 | 2021 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 4 | |
| 13 | 2018 | 18 | |
| 14 | 2018 | 16 | |
| 15 | 2008 | 11 | |
| 16 | 2006 | 3 | |
| 17 | 2004 | 6 | |
| 18 | 1999 | 15 | |
| 19 | 1993 | 10 | |
| 20 | 1991 | 100 |
About Carlos E. Suárez
Carlos E. Suárez is a scholar working on Parasitology, Insect Science, Ecology, Evolution, Behavior and Systematics, Immunology and Infectious Diseases, having authored 168 papers that have together received 3.8k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (118 papers), Vector-Borne Animal Diseases (54 papers), Viral Infections and Vectors (27 papers), Insect Pest Control Strategies (27 papers), Insect Resistance and Genetics (24 papers), Toxin Mechanisms and Immunotoxins (22 papers), Insect and Pesticide Research (18 papers) and Insect symbiosis and bacterial influences (15 papers). The work is most often cited by research in Parasitology (2.9k citations), Ecology, Evolution, Behavior and Systematics (1.5k citations), Infectious Diseases (1.2k citations), Insect Science (633 citations) and Immunology (797 citations). Carlos E. Suárez has collaborated with scholars based in United States, Argentina and Egypt. Frequent co-authors include Terry F. McElwain, Guy H. Palmer, Wendy C. Brown, Mónica Florin‐Christensen, Donald P. Knowles, Susan M. Noh, Stephen A. Hines, Marta G. Silva, Heba F. Alzan and Reginaldo G. Bastos. Their work appears in journals such as Parasites & Vectors, Infection and Immunity, Molecular and Biochemical Parasitology, International Journal for Parasitology and Pathogens.
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.