Juan Carlos Tinoco
- Epidemiology
- Molecular Medicine top 5%
- Infectious Diseases
- Public Health, Environmental and Occupational Health
- Endocrinology top 10%
- Co-authors
- Celia Alpuche‐ArandaMarı́a Dolores Alcántar-CurielRayo Morfín‐OteroAurelio Cruz-ValdézAixue LiuBruce L. InnisVijayalakshmi ChandrasekaranVarsha Jain
- Topics
- Antibiotic Resistance in Bacteria (5 papers)Herpesvirus Infections and Treatments (3 papers)Streptococcal Infections and Treatments (3 papers)
- Partner nations
- MexicoUnited StatesBelgium
In The Last Decade
Juan Carlos Tinoco
16 papers receiving 281 citations
Peers
Comparison fields: 5 of 56
- Epidemiology 137
- Molecular Medicine 111
- Infectious Diseases 69
- Public Health, Environmental and Occupational Health 56
- Endocrinology 49
Countries citing papers authored by Juan Carlos Tinoco
This map shows the geographic impact of Juan Carlos Tinoco'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 Juan Carlos Tinoco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Carlos Tinoco more than expected).
Fields of papers citing papers by Juan Carlos Tinoco
This network shows the impact of papers produced by Juan Carlos Tinoco. 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 Juan Carlos Tinoco. The network helps show where Juan Carlos Tinoco may publish in the future.
Co-authorship network of co-authors of Juan Carlos Tinoco
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Carlos Tinoco. A scholar is included among the top collaborators of Juan Carlos Tinoco 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 Juan Carlos Tinoco. Juan Carlos Tinoco 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 | 2 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | Surveillance of antimicrobial resistance in Serratia marcescens in Mexico. | 9 |
| 7 | 33 | |
| 8 | 15 | |
| 9 | 63 | |
| 10 | 10 | |
| 11 | 35 | |
| 12 | 48 | |
| 13 | 37 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | [Nosocomial urinary tract infections at a second-level hospital]. | 3 |
About Juan Carlos Tinoco
Juan Carlos Tinoco is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Critical Care and Intensive Care Medicine, having authored 17 papers that have together received 292 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Herpesvirus Infections and Treatments (3 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (46 citations), Molecular Medicine (111 citations) and Endocrinology (49 citations). Juan Carlos Tinoco has collaborated with scholars based in Mexico, United States and Belgium. Frequent co-authors include Celia Alpuche‐Aranda, Marı́a Dolores Alcántar-Curiel, Rayo Morfín‐Otero, Aurelio Cruz-Valdéz, Aixue Liu, Bruce L. Innis, Vijayalakshmi Chandrasekaran, Varsha Jain, Walthère Dewé and Noris Pavía-Ruz. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases 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.