Luz M. Moyano
- Parasitology top 2%
- Parasitic Infections and Diagnostics 7
- Parasites and Host Interactions 6
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- Parasitic infections in humans and animals 20
- Surgery top 10%
- Congenital Anomalies and Fetal Surgery 14
- Ecology top 10%
- Parasite Biology and Host Interactions 8
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- Parasitic Diseases Research and Treatment 1
- SARS-CoV-2 and COVID-19 Research 1
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- Medicinal Plants and Neuroprotection 1
- Co-authors
- Héctor H. Garcı́aArmando E. GonzálezViterbo AyvarSilvia RodríguezSeth E. O’NealVictor C. W. TsangGuillermo GonzálvezRobert H. Gilman
- Journals
- New England Journal of Medicine (1 paper)PLoS ONE (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- PeruUnited StatesFrance
In The Last Decade
Luz M. Moyano
24 papers receiving 575 citations
Peers
Comparison fields: 5 of 62
- Parasitology 268
- Pathology and Forensic Medicine 438
- Surgery 287
- Ecology 160
- Psychiatry and Mental health 59
Countries citing papers authored by Luz M. Moyano
This map shows the geographic impact of Luz M. Moyano'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 Luz M. Moyano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luz M. Moyano more than expected).
Fields of papers citing papers by Luz M. Moyano
This network shows the impact of papers produced by Luz M. Moyano. 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 Luz M. Moyano. The network helps show where Luz M. Moyano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luz M. Moyano, 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 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 3 | |
| 7 | 2018 | 15 | |
| 8 | 2018 | 12 | |
| 9 | 2017 | 10 | |
| 10 | 2017 | 62 | |
| 11 | 2017 | 24 | |
| 12 | 2016 | 53 | |
| 13 | 2016 | 89 | |
| 14 | 2016 | 22 | |
| 15 | 2014 | 34 | |
| 16 | 2012 | 42 | |
| 17 | 2012 | 33 | |
| 18 | 2010 | 17 | |
| 19 | 2009 | 10 | |
| 20 | 2009 | 37 |
About Luz M. Moyano
Luz M. Moyano is a scholar working on Parasitology, Pathology and Forensic Medicine and Surgery, having authored 28 papers that have together received 581 indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (20 papers), Congenital Anomalies and Fetal Surgery (14 papers), Parasite Biology and Host Interactions (8 papers), Parasitic Infections and Diagnostics (7 papers), Parasites and Host Interactions (6 papers), Parasitic Diseases Research and Treatment (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Medicinal Plants and Neuroprotection (1 paper). The work is most often cited by research in Parasitology (268 citations), Pathology and Forensic Medicine (438 citations) and Surgery (287 citations). Luz M. Moyano has collaborated with scholars based in Peru, United States and France. Frequent co-authors include Héctor H. Garcı́a, Armando E. González, Viterbo Ayvar, Silvia Rodríguez, Seth E. O’Neal, Victor C. W. Tsang, Guillermo Gonzálvez, Robert H. Gilman, Pierre‐Marie Preux and Farid Boumédiène. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and Emerging infectious diseases.
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.