J Mould-Quevedo
- Epidemiology
- Infectious Diseases
- Health top 10%
- General Health Professions
- Economics and Econometrics top 10%
- Co-authors
- Maarten J. PostmaStephen I. PeltonVictoria DivinoMitch DeKovenAmir GorenGirishanthy KrishnarajahJuan Garduño‐EspinosaDrishti Shah
- Topics
- Influenza Virus Research Studies (21 papers)Vaccine Coverage and Hesitancy (16 papers)Respiratory viral infections research (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaBritish Journal of CancerVaccine
- Partner nations
- United StatesMexicoNetherlands
In The Last Decade
J Mould-Quevedo
49 papers receiving 531 citations
Peers
Comparison fields: 5 of 93
- Epidemiology 239
- Infectious Diseases 87
- Health 86
- General Health Professions 79
- Economics and Econometrics 69
Countries citing papers authored by J Mould-Quevedo
This map shows the geographic impact of J Mould-Quevedo'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 J Mould-Quevedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Mould-Quevedo more than expected).
Fields of papers citing papers by J Mould-Quevedo
This network shows the impact of papers produced by J Mould-Quevedo. 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 J Mould-Quevedo. The network helps show where J Mould-Quevedo may publish in the future.
Co-authorship network of co-authors of J Mould-Quevedo
This figure shows the co-authorship network connecting the top 25 collaborators of J Mould-Quevedo. A scholar is included among the top collaborators of J Mould-Quevedo 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 J Mould-Quevedo. J Mould-Quevedo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 21 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 31 | |
| 10 | Direct medical costs of treating Mexican children under 2 years of age with respiratory syncytial virus | 3 |
| 11 | 2 | |
| 12 | 26 | |
| 13 | Evaluación económica de sunitinib como tratamiento de primera línea para cáncer de células renales metastásico en México | 0 |
| 14 | 7 | |
| 15 | Tratamiento antimicótico empírico de pacientes inmunocomprometidos con neutropenia y fiebre persistente con sospecha de aspergilosis sistémica: análisis de costo-efectividad en México.. | 1 |
| 16 | 30 | |
| 17 | 2 | |
| 18 | 19 | |
| 19 | 19 | |
| 20 | 20 |
About J Mould-Quevedo
J Mould-Quevedo is a scholar working on Health, Applied Microbiology and Biotechnology and Modeling and Simulation, having authored 60 papers that have together received 558 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (21 papers), Vaccine Coverage and Hesitancy (16 papers) and Respiratory viral infections research (13 papers). The work is most often cited by research in Health (86 citations), Epidemiology (239 citations) and Modeling and Simulation (28 citations). J Mould-Quevedo has collaborated with scholars based in United States, Mexico and Netherlands. Frequent co-authors include Maarten J. Postma, Stephen I. Pelton, Victoria Divino, Mitch DeKoven, Amir Goren, Girishanthy Krishnarajah, Juan Garduño‐Espinosa, Drishti Shah, Sergio Sánchez‐García and Marco DiBonaventura. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and Vaccine.
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.