Patricia Márquez
- Molecular Medicine top 10%
- Epidemiology
- Infectious Diseases
- Applied Microbiology and Biotechnology top 5%
- Clinical Biochemistry top 10%
- Co-authors
- Dawn TerashitaLaurene MascolaDavid E. DasseyBarbara L. MaternaJennifer McNaryJason A. WilkenGayle C. WindhamEszter Deák
- Topics
- Bacterial Identification and Susceptibility Testing (4 papers)Antibiotic Resistance in Bacteria (4 papers)Antibiotic Use and Resistance (3 papers)
- Journals
- Clinical Infectious DiseasesInfection Control and Hospital EpidemiologyAmerican Journal of Infection Control
- Partner nations
- United States
In The Last Decade
Patricia Márquez
10 papers receiving 143 citations
Peers
Comparison fields: 5 of 62
- Molecular Medicine 63
- Epidemiology 49
- Infectious Diseases 43
- Applied Microbiology and Biotechnology 38
- Clinical Biochemistry 37
Countries citing papers authored by Patricia Márquez
This map shows the geographic impact of Patricia Márquez'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 Patricia Márquez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Márquez more than expected).
Fields of papers citing papers by Patricia Márquez
This network shows the impact of papers produced by Patricia Márquez. 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 Patricia Márquez. The network helps show where Patricia Márquez may publish in the future.
Co-authorship network of co-authors of Patricia Márquez
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Márquez. A scholar is included among the top collaborators of Patricia Márquez 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 Patricia Márquez. Patricia Márquez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 32 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | Coccidioidomycosis among cast and crew members at an outdoor television filming event--California, 2012. | 19 |
| 7 | 14 | |
| 8 | 43 | |
| 9 | 22 | |
| 10 | 10 |
About Patricia Márquez
Patricia Márquez is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 10 papers that have together received 148 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Antibiotic Use and Resistance (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (38 citations), Molecular Medicine (63 citations) and Clinical Biochemistry (37 citations). Patricia Márquez has collaborated with scholars based in United States. Frequent co-authors include Dawn Terashita, Laurene Mascola, David E. Dassey, Barbara L. Materna, Jennifer McNary, Jason A. Wilken, Gayle C. Windham, Eszter Deák, Elizabeth Bancroft and Umid Sharapov. Their work appears in journals such as Clinical Infectious Diseases, Infection Control and Hospital Epidemiology and American Journal of Infection Control.
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.