Christina G. Rivera
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- Antibiotic Use and Resistance 11
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 11
- COVID-19 Clinical Research Studies 7
- Tuberculosis Research and Epidemiology 6
- Small Animals top 10%
- Pharmacology top 10%
- Antibiotics Pharmacokinetics and Efficacy 20
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- Mycobacterium research and diagnosis 7
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- Bacterial Identification and Susceptibility Testing 8
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- Orthopedic Infections and Treatments 7
- Co-authors
- Zelalem TemesgenJohn D. ZeuliMonica V. MahoneyRyan W. StevensDouglas W. ChallenerKristin C. MaraFnu ShwetaOmar Abu Saleh
- Journals
- SHILAP Revista de lepidopterología (6 papers)Blood (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Christina G. Rivera
59 papers receiving 459 citations
Peers
Comparison fields: 5 of 88
- Applied Microbiology and Biotechnology 76
- Infectious Diseases 209
- Small Animals 54
- Pharmacology 109
- Epidemiology 201
Countries citing papers authored by Christina G. Rivera
This map shows the geographic impact of Christina G. Rivera'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 Christina G. Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina G. Rivera more than expected).
Fields of papers citing papers by Christina G. Rivera
This network shows the impact of papers produced by Christina G. Rivera. 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 Christina G. Rivera. The network helps show where Christina G. Rivera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christina G. Rivera, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 17 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 22 | |
| 19 | 2021 | 86 | |
| 20 | 2008 | 28 |
About Christina G. Rivera
Christina G. Rivera is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Microbiology, having authored 65 papers that have together received 466 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (20 papers), Antimicrobial Resistance in Staphylococcus (11 papers), Antibiotic Use and Resistance (11 papers), Bacterial Identification and Susceptibility Testing (8 papers), COVID-19 Clinical Research Studies (7 papers), Orthopedic Infections and Treatments (7 papers), Mycobacterium research and diagnosis (7 papers) and Tuberculosis Research and Epidemiology (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (76 citations), Infectious Diseases (209 citations) and Small Animals (54 citations). Christina G. Rivera has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Zelalem Temesgen, John D. Zeuli, Monica V. Mahoney, Ryan W. Stevens, Douglas W. Challener, Kristin C. Mara, Fnu Shweta, Omar Abu Saleh, Kelly M. Pennington and Douglas R. Osmon. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.
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.