Pablo Maravilla
- Parasitology top 0.5%
- Pathology and Forensic Medicine top 2%
- Surgery top 10%
- Infectious Diseases top 5%
- Ecology top 10%
- Co-authors
- Ana FlisserFernando Martínez‐HernándezMirza Romero‐ValdovinosGuillermina ÁvilaLaura Aguilar-VegaAngélica Olivo‐DíazGuiehdani VillalobosJoel Martínez-Ocaña
- Topics
- Parasitic Infections and Diagnostics (38 papers)Parasitic infections in humans and animals (28 papers)Congenital Anomalies and Fetal Surgery (17 papers)
- Partner nations
- MexicoSpainUnited States
In The Last Decade
Pablo Maravilla
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Parasitology 749
- Pathology and Forensic Medicine 663
- Surgery 407
- Infectious Diseases 316
- Ecology 167
Countries citing papers authored by Pablo Maravilla
This map shows the geographic impact of Pablo Maravilla'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 Pablo Maravilla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Maravilla more than expected).
Fields of papers citing papers by Pablo Maravilla
This network shows the impact of papers produced by Pablo Maravilla. 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 Pablo Maravilla. The network helps show where Pablo Maravilla may publish in the future.
Co-authorship network of co-authors of Pablo Maravilla
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Maravilla. A scholar is included among the top collaborators of Pablo Maravilla 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 Pablo Maravilla. Pablo Maravilla 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 | 1 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 29 | |
| 11 | 18 | |
| 12 | 33 | |
| 13 | 10 | |
| 14 | 17 | |
| 15 | 38 | |
| 16 | 9 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 21 | |
| 20 | [Identification and integral management of a case of autochthonous hydatidosis in Mexico]. | 4 |
About Pablo Maravilla
Pablo Maravilla is a scholar working on Parasitology, Pathology and Forensic Medicine and Endocrinology, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (38 papers), Parasitic infections in humans and animals (28 papers) and Congenital Anomalies and Fetal Surgery (17 papers). The work is most often cited by research in Parasitology (749 citations), Pathology and Forensic Medicine (663 citations) and Infectious Diseases (316 citations). Pablo Maravilla has collaborated with scholars based in Mexico, Spain and United States. Frequent co-authors include Ana Flisser, Fernando Martínez‐Hernández, Mirza Romero‐Valdovinos, Guillermina Ávila, Laura Aguilar-Vega, Angélica Olivo‐Díaz, Guiehdani Villalobos, Joel Martínez-Ocaña, J. L. Domínguez-Alpízar and Valeria Souza. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and American Journal Of Pathology.
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.