National University of San Marcos

10.1k papers receiving 83.6k citations

Peers

National University of San Marcos
Comparison fields: 5 of 247
  • Parasitology 6.3k
  • Paleontology 6.2k
  • Ecological Modeling 2.9k
  • Pathology and Forensic Medicine 8.0k
  • Ecology 11.4k
Replace Universidad Peruana Cayetano Heredia with:
Universidad Peruana Cayetano Heredia Peru
Universidad Mayor de San Andrés Bolivia
Universidade Federal do Acre Brazil
Pontificia Universidad Católica del Ecuador Ecuador
Universidad San Francisco de Quito Ecuador
Universidad del Valle Colombia
Universidad Nacional de Colombia Colombia
Universidad de Los Andes Colombia
Central University of Ecuador Ecuador
Pontificia Universidad Javeriana Colombia
National University of San Marcos relative to Universidad Peruana Cayetano Heredia Peru Universidad Peruana Cayetano Heredia's profile →
Citations per field
00.5×2×4×6×8.8×
Universidad Peruana Cayetano Heredia · 1×
Citations per year

Countries citing scholars working at National University of San Marcos

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at National University of San Marcos. 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 papers produced at National University of San Marcos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites National University of San Marcos more than expected).

Fields of papers published by authors at National University of San Marcos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with National University of San Marcos at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with National University of San Marcos at the time of their publication.

About National University of San Marcos

In recent decades, authors affiliated with National University of San Marcos have published 14.2k papers, which have received a total of 93.9k indexed citations . Scholars at this organization have produced 470 papers in Parasitology, 422 papers in Paleontology, 292 papers in Computer Science Applications, 933 papers in Ecology, Evolution, Behavior and Systematics and 200 papers in Ecological Modeling on the topics of Business, Innovation, and Economy (786 papers), Education and Teacher Training (537 papers), Educational Innovations and Technology (510 papers), Health and Lifestyle Studies (313 papers), Stress and Burnout Research (301 papers), Health and Medical Education (294 papers), Educational and Organizational Development (267 papers) and Diverse Applied Research Studies (265 papers). Their work is cited by papers focused on Parasitology (6.3k citations), Paleontology (6.2k citations), Ecological Modeling (2.9k citations), Pathology and Forensic Medicine (8.0k citations) and Ecology (11.4k citations). Authors at National University of San Marcos collaborate with scholars in Peru, United States and Brazil and have published in prestigious journals including Zootaxa, Boletín de la Academia Peruana de la Lengua, PLoS ONE, Revista Peruana de Biología and American Journal of Tropical Medicine and Hygiene. Some of National University of San Marcos's most productive authors include Armando E. González, Héctor H. Garcı́a, Robert H. Gilman, Javier Plasencia, Víctor Pacheco, Rodolfo Salas‐Gismondi, Jane C. Wheeler, Mario Urbina, Luis Huicho and David Mauricio.

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.

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