Ximena Aguilera
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 10
- Parasitology top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 and COVID-19 Research 9
- Small Animals top 2%
- Helminth infection and control 6
- Epidemiology top 10%
- Trypanosoma species research and implications 12
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- Smoking Behavior and Cessation 6
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- Zoonotic diseases and public health 6
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- Aquatic Ecosystems and Phytoplankton Dynamics 5
- Co-authors
- Inés ZulantayWerner AptPablo VialLorena PorteJosé M. MunitaThomas WeitzelSteven DeclerckPaulette Legarraga
- Partner nations
- ChileUnited StatesUnited Kingdom
In The Last Decade
Ximena Aguilera
81 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 143
- Modeling and Simulation 148
- Parasitology 189
- Infectious Diseases 536
- Small Animals 185
- Epidemiology 454
Countries citing papers authored by Ximena Aguilera
This map shows the geographic impact of Ximena Aguilera'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 Ximena Aguilera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ximena Aguilera more than expected).
Fields of papers citing papers by Ximena Aguilera
This network shows the impact of papers produced by Ximena Aguilera. 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 Ximena Aguilera. The network helps show where Ximena Aguilera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ximena Aguilera, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 1 | |
| 8 | 2020 | 8 | |
| 9 | 2019 | 6 | |
| 10 | 2010 | 7 | |
| 11 | 2010 | 15 | |
| 12 | 2009 | 19 | |
| 13 | 2008 | 26 | |
| 14 | DIEL VERTICAL MIGRATION OF ZOOPLANKTON IN TROPICAL HIGH MOUNTAIN LAKES ANDES, BOLIVIA | 2006 | 15 |
| 15 | 2005 | 4 | |
| 16 | 2003 | 3 | |
| 17 | 1998 | 89 | |
| 18 | 1995 | 96 | |
| 19 | 1990 | 19 | |
| 20 | 1987 | 20 |
About Ximena Aguilera
Ximena Aguilera is a scholar working on Modeling and Simulation, Infectious Diseases and Small Animals, having authored 83 papers that have together received 1.7k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (12 papers), COVID-19 Clinical Research Studies (10 papers), COVID-19 epidemiological studies (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Smoking Behavior and Cessation (6 papers), Zoonotic diseases and public health (6 papers), Helminth infection and control (6 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (5 papers). The work is most often cited by research in Modeling and Simulation (148 citations), Parasitology (189 citations) and Infectious Diseases (536 citations). Ximena Aguilera has collaborated with scholars based in Chile, United States and United Kingdom. Frequent co-authors include Inés Zulantay, Werner Apt, Pablo Vial, Lorena Porte, José M. Munita, Thomas Weitzel, Steven Declerck, Paulette Legarraga, Iris Delgado and Mirentxu Iruretagoyena. Their work appears in journals such as The Lancet, PLoS ONE and Limnology and Oceanography.
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.