Daniel Mendoza
- Infectious Diseases top 5%
- Epidemiology
- Virology top 5%
- Immunology
- Surgery
- Co-authors
- Marvin J. AllisonAlejandro PezziaStephen A. MiguelesDouglas J. JollyHarry E. GruberIrini SeretiDavid MooreRobert H. Gilman
- Topics
- Helicobacter pylori-related gastroenterology studies (8 papers)HIV Research and Treatment (6 papers)Immune Cell Function and Interaction (6 papers)
- Partner nations
- United StatesPeruUnited Kingdom
In The Last Decade
Daniel Mendoza
37 papers receiving 746 citations
Peers
Comparison fields: 5 of 100
- Infectious Diseases 261
- Epidemiology 207
- Virology 185
- Immunology 170
- Surgery 149
Countries citing papers authored by Daniel Mendoza
This map shows the geographic impact of Daniel Mendoza'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 Daniel Mendoza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mendoza more than expected).
Fields of papers citing papers by Daniel Mendoza
This network shows the impact of papers produced by Daniel Mendoza. 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 Daniel Mendoza. The network helps show where Daniel Mendoza may publish in the future.
Co-authorship network of co-authors of Daniel Mendoza
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Mendoza. A scholar is included among the top collaborators of Daniel Mendoza 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 Daniel Mendoza. Daniel Mendoza 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 | 12 | |
| 3 | 15 | |
| 4 | 69 | |
| 5 | 6 | |
| 6 | 22 | |
| 7 | 12 | |
| 8 | 27 | |
| 9 | 16 | |
| 10 | 107 | |
| 11 | 20 | |
| 12 | 28 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 20 | |
| 17 | Helicobacter pylori: Epidemiología - Diagnóstico - Tratamiento - Consensos mundiales - Experiencia en el Perú | 2 |
| 18 | Uso del sistema de información geográfica para determinar la relación entre la severidad de la crisis asmáticas en niños y la cercanía a fábricas con chimenea en un distrito de Lima - Perú | 1 |
| 19 | Estudio del Helicobacter pylori en el Perú | 7 |
| 20 | 33 |
About Daniel Mendoza
Daniel Mendoza is a scholar working on Virology, Immunology and Applied Microbiology and Biotechnology, having authored 38 papers that have together received 784 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (8 papers), HIV Research and Treatment (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Virology (185 citations), Infectious Diseases (261 citations) and Immunology (170 citations). Daniel Mendoza has collaborated with scholars based in United States, Peru and United Kingdom. Frequent co-authors include Marvin J. Allison, Alejandro Pezzia, Stephen A. Migueles, Douglas J. Jolly, Harry E. Gruber, Irini Sereti, David Moore, Robert H. Gilman, José A. Serpa and Jun Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.