Sergio Vaca
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Bacterial biofilms and quorum sensing 9
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- Antimicrobial Resistance in Staphylococcus 7
- Antifungal resistance and susceptibility 5
- Co-authors
- Gloria Luz Paniagua‐Contreras (15 shared papers)Eric Monroy‐Pérez (15 shared papers)Erasmo Negrete‐Abascal (15 shared papers)Felipe Vaca‐Paniagua (12 shared papers)Edgar Zenteno (3 shared papers)Patricia Sánchez Alonso (3 shared papers)Mireya de la Garza (2 shared papers)Edgardo Soriano‐Vargas (3 shared papers)
In The Last Decade
Sergio Vaca
35 papers receiving 613 citations
Peers
Comparison fields: 5 of 79
- Endocrinology 172
- Molecular Medicine 123
- Microbiology 151
- Infectious Diseases 175
- Periodontics 43
Countries citing papers authored by Sergio Vaca
This map shows the geographic impact of Sergio Vaca'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 Sergio Vaca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Vaca more than expected).
Fields of papers citing papers by Sergio Vaca
This network shows the impact of papers produced by Sergio Vaca. 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 Sergio Vaca. The network helps show where Sergio Vaca may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Vaca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 73 | |
| 2 | 2007 | 58 | |
| 3 | 2009 | 44 | |
| 4 | 2016 | 36 | |
| 5 | 2019 | 31 | |
| 6 | 2017 | 29 | |
| 7 | 2018 | 29 | |
| 8 | 2016 | 25 | |
| 9 | 2003 | 24 | |
| 10 | 2012 | 24 | |
| 11 | 2014 | 24 | |
| 12 | 2012 | 22 | |
| 13 | 2005 | 21 | |
| 14 | 2018 | 19 | |
| 15 | 2020 | 17 | |
| 16 | 2011 | 17 | |
| 17 | 2013 | 16 | |
| 18 | 2012 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2006 | 12 |
About Sergio Vaca
Sergio Vaca is a scholar working on Molecular Biology, Infectious Diseases, Microbiology, Molecular Medicine and Endocrinology, having authored 38 papers that have together received 634 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (9 papers), Antibiotic Resistance in Bacteria (9 papers), Escherichia coli research studies (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Microbial infections and disease research (7 papers), Streptococcal Infections and Treatments (5 papers), Antifungal resistance and susceptibility (5 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Endocrinology (172 citations), Molecular Medicine (123 citations), Microbiology (151 citations), Infectious Diseases (175 citations) and Periodontics (43 citations). Sergio Vaca has collaborated with scholars based in Mexico, Australia and Peru. Frequent co-authors include Gloria Luz Paniagua‐Contreras, Eric Monroy‐Pérez, Erasmo Negrete‐Abascal, Felipe Vaca‐Paniagua, Edgar Zenteno, Patricia Sánchez Alonso, Mireya de la Garza, Edgardo Soriano‐Vargas, Jaime Bustos‐Martínez and José Luis Cortés. Their work appears in journals such as Annals of Clinical Microbiology and Antimicrobials, Journal of Microbiology Immunology and Infection, Antonie van Leeuwenhoek, Microbial Pathogenesis and Infection and Drug Resistance.
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.