Christina M. Ramirez
- Virology top 0.2%
- Infectious Diseases top 0.5%
- Immunology top 2%
- Epidemiology top 5%
- Molecular Biology top 10%
- Co-authors
- Jerome A. ZackSteven G. DeeksJeffrey N. MartinPeter W. HuntFrederick HechtDavid G. BrooksScott G. KitchenHelene B. Bernstein
- Topics
- HIV Research and Treatment (49 papers)HIV/AIDS Research and Interventions (29 papers)HIV/AIDS drug development and treatment (24 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- United StatesGermanySpain
In The Last Decade
Christina M. Ramirez
116 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Virology 2.0k
- Infectious Diseases 1.7k
- Immunology 1.3k
- Epidemiology 881
- Molecular Biology 775
Countries citing papers authored by Christina M. Ramirez
This map shows the geographic impact of Christina M. Ramirez'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 M. Ramirez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina M. Ramirez more than expected).
Fields of papers citing papers by Christina M. Ramirez
This network shows the impact of papers produced by Christina M. Ramirez. 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 M. Ramirez. The network helps show where Christina M. Ramirez may publish in the future.
Co-authorship network of co-authors of Christina M. Ramirez
This figure shows the co-authorship network connecting the top 25 collaborators of Christina M. Ramirez. A scholar is included among the top collaborators of Christina M. Ramirez 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 Christina M. Ramirez. Christina M. Ramirez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 21 | |
| 5 | An evidence review of face masks against COVID-19breakdown → | 805 |
| 6 | 38 | |
| 7 | 25 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 10 | |
| 12 | 26 | |
| 13 | Human Umbilical Cord Mesenchymal Stem Cells in the Treatment of Duchenne Muscular Dystrophy: Safety and Feasibility Study in India. | 25 |
| 14 | 15 | |
| 15 | 30 | |
| 16 | 31 | |
| 17 | 135 | |
| 18 | 13 | |
| 19 | Switch rate on venlafaxine compared with bupropion and sertraline | 2 |
| 20 | 39 |
About Christina M. Ramirez
Christina M. Ramirez is a scholar working on Virology, Infectious Diseases and Immunology, having authored 119 papers that have together received 6.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (49 papers), HIV/AIDS Research and Interventions (29 papers) and HIV/AIDS drug development and treatment (24 papers). The work is most often cited by research in Virology (2.0k citations), Infectious Diseases (1.7k citations) and Modeling and Simulation (343 citations). Christina M. Ramirez has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Jerome A. Zack, Steven G. Deeks, Jeffrey N. Martin, Peter W. Hunt, Frederick Hecht, David G. Brooks, Scott G. Kitchen, Helene B. Bernstein, Kacey G. Marra and Nataša Miljković. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.