Guillermo Rodríguez-Nava

467 citations
29 papers · 166 indexed · h-index 8
Topics
COVID-19 Clinical Research Studies (10 papers)Long-Term Effects of COVID-19 (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)

In The Last Decade

Guillermo Rodríguez-Nava

21 papers receiving 162 citations

Peers

Guillermo Rodríguez-Nava
Comparison fields: 5 of 64
  • Infectious Diseases 71
  • Epidemiology 70
  • Molecular Biology 35
  • Oncology 26
  • Virology 25
Replace Regina Podlasin with:
Regina Podlasin Poland
Michele Trezzi Italy
Agnieszka Bednarska Poland
Peter A. Minchella United States
Nguyen Van Vinh Chau Vietnam
Tianjun Jiang China
Silvia Mosti Italy
Raquel Ron Spain
C. Brochier France
Beatrice Borchi Italy
Guillermo Rodríguez-Nava relative to Regina Podlasin Poland Regina Podlasin's profile →
Citations per field
00.5×
Regina Podlasin · 1×
Citations per year

Countries citing papers authored by Guillermo Rodríguez-Nava

Since Specialization
Citations

This map shows the geographic impact of Guillermo Rodríguez-Nava'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 Guillermo Rodríguez-Nava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guillermo Rodríguez-Nava more than expected).

Fields of papers citing papers by Guillermo Rodríguez-Nava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guillermo Rodríguez-Nava. 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 Guillermo Rodríguez-Nava. The network helps show where Guillermo Rodríguez-Nava may publish in the future.

Co-authorship network of co-authors of Guillermo Rodríguez-Nava

This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Rodríguez-Nava. A scholar is included among the top collaborators of Guillermo Rodríguez-Nava 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 Guillermo Rodríguez-Nava. Guillermo Rodríguez-Nava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 5
5 0
6 7
7 0
8 0
9 2
10 4
11 25
12 3
13 1
14 5
15 3
16 0
17 4
18 8
19 4
20 37

About Guillermo Rodríguez-Nava

Guillermo Rodríguez-Nava is a scholar working on Health Informatics, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 29 papers that have together received 166 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), Long-Term Effects of COVID-19 (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Virology (25 citations), Infectious Diseases (71 citations) and Epidemiology (70 citations). Guillermo Rodríguez-Nava has collaborated with scholars based in United States, Brazil and Mexico. Frequent co-authors include Harvey Friedman, David Hines, Jorge Salinas, David W. McCormick, Bryant J. Webber, Thomas D. Filardo, Brett W. Petersen, Kevin O’Laughlin, Joseph D. Cooper and Katherine E Goodman. Their work appears in journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and Infection Control and Hospital Epidemiology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026