Gina Maki
- Applied Microbiology and Biotechnology top 1%
- Infectious Diseases
- Molecular Medicine top 10%
- Epidemiology
- General Health Professions
- Co-authors
- Marcus ZervosGérard JosephJacques BoncyHatim SatiMichael F. CanariePilar Ramón-PardoPaul E. KilgoreNatael Fénélon
- Topics
- Antibiotic Use and Resistance (8 papers)Antibiotic Resistance in Bacteria (4 papers)Nosocomial Infections in ICU (4 papers)
- Cited by
- Applied Microbiology and BiotechnologyMolecular MedicineCritical Care and Intensive Care Medicine
- Journals
- SHILAP Revista de lepidopterologíaAmerican Journal of Tropical Medicine and HygieneInfection Control and Hospital Epidemiology
- Partner nations
- United StatesNepalArgentina
In The Last Decade
Gina Maki
14 papers receiving 297 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Applied Microbiology and Biotechnology 153
- Infectious Diseases 81
- Molecular Medicine 64
- Epidemiology 51
- General Health Professions 45
Countries citing papers authored by Gina Maki
This map shows the geographic impact of Gina Maki'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 Gina Maki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina Maki more than expected).
Fields of papers citing papers by Gina Maki
This network shows the impact of papers produced by Gina Maki. 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 Gina Maki. The network helps show where Gina Maki may publish in the future.
Co-authorship network of co-authors of Gina Maki
This figure shows the co-authorship network connecting the top 25 collaborators of Gina Maki. A scholar is included among the top collaborators of Gina Maki 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 Gina Maki. Gina Maki 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 | 5 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 56 | |
| 7 | Antibiotics and antimicrobial resistance in the COVID-19 era: Perspective from resource-limited settingsbreakdown → | 176 |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 11 |
About Gina Maki
Gina Maki is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Critical Care and Intensive Care Medicine, having authored 17 papers that have together received 302 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (8 papers), Antibiotic Resistance in Bacteria (4 papers) and Nosocomial Infections in ICU (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (153 citations), Molecular Medicine (64 citations) and Critical Care and Intensive Care Medicine (37 citations). Gina Maki has collaborated with scholars based in United States, Nepal and Argentina. Frequent co-authors include Marcus Zervos, Gérard Joseph, Jacques Boncy, Hatim Sati, Michael F. Canarie, Pilar Ramón-Pardo, Paul E. Kilgore, Natael Fénélon, Patrick Dély and Ana del Rı́o. Their work appears in journals such as SHILAP Revista de lepidopterología, American Journal of Tropical Medicine and Hygiene 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.