Germán Vargas-Cuebas
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
- Vibrio bacteria research studies
- Escherichia coli research studies
Papers in
-
- Gut microbiota and health 3
- Bacterial biofilms and quorum sensing 2
- Phenothiazines and Benzothiazines Synthesis and Activities 1
-
- Antimicrobial agents and applications 5
- Co-authors
- Edward Geisinger (3 shared papers)Ralph R. Isberg (3 shared papers)Albert Tai (1 shared paper)Shonna M. McBride (3 shared papers)Adrianne N. Edwards (3 shared papers)Yunfei Dai (2 shared papers)Tim van Opijnen (2 shared papers)Joshua B. Jones (1 shared paper)
- Journals
- ChemMedChem (3 papers)Current Opinion in Microbiology (1 paper)PLoS Pathogens (1 paper)PLoS Biology (1 paper)mBio (1 paper)
- Partner nations
- United States
In The Last Decade
Germán Vargas-Cuebas
11 papers receiving 261 citations
Peers
Comparison fields: 5 of 49
- Molecular Medicine 113
- Endocrinology 64
- Infectious Diseases 68
- Microbiology 18
- Critical Care and Intensive Care Medicine 9
Countries citing papers authored by Germán Vargas-Cuebas
This map shows the geographic impact of Germán Vargas-Cuebas'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 Germán Vargas-Cuebas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germán Vargas-Cuebas more than expected).
Fields of papers citing papers by Germán Vargas-Cuebas
This network shows the impact of papers produced by Germán Vargas-Cuebas. 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 Germán Vargas-Cuebas. The network helps show where Germán Vargas-Cuebas may publish in the future.
Co-authors
The 23 scholars most cited alongside Germán Vargas-Cuebas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 84 | |
| 2 | 2019 | 45 | |
| 3 | 2021 | 41 | |
| 4 | 2019 | 26 | |
| 5 | 2021 | 23 | |
| 6 | 2024 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 3 |
About Germán Vargas-Cuebas
Germán Vargas-Cuebas is a scholar working on Molecular Biology, Organic Chemistry, Molecular Medicine, Infectious Diseases and Environmental Chemistry, having authored 11 papers that have together received 262 indexed citations. Recurring topics across this work include Antimicrobial agents and applications (5 papers), Antibiotic Resistance in Bacteria (4 papers), Gut microbiota and health (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Vibrio bacteria research studies (2 papers), Bacterial biofilms and quorum sensing (2 papers), Environmental Chemistry and Analysis (2 papers) and Phenothiazines and Benzothiazines Synthesis and Activities (1 paper). The work is most often cited by research in Molecular Medicine (113 citations), Endocrinology (64 citations), Infectious Diseases (68 citations), Microbiology (18 citations) and Critical Care and Intensive Care Medicine (9 citations). Germán Vargas-Cuebas has collaborated with scholars based in United States. Frequent co-authors include Edward Geisinger, Ralph R. Isberg, Albert Tai, Shonna M. McBride, Adrianne N. Edwards, Yunfei Dai, Tim van Opijnen, Joshua B. Jones, Daniela Wetzel and Ognjen Sekulović. Their work appears in journals such as ChemMedChem, Current Opinion in Microbiology, PLoS Pathogens, PLoS Biology and mBio.
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.