Matthew Ojeda Saavedra
- Infectious Diseases top 5%
- Molecular Medicine top 2%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Co-authors
- James J. DavisConcepcion CantuS. Wesley LongJames M. MusserRandall J. OlsenThomas BrettinStephen B. BeresLuchang Zhu
- Topics
- Streptococcal Infections and Treatments (13 papers)Antimicrobial Resistance in Staphylococcus (10 papers)Neonatal and Maternal Infections (6 papers)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Matthew Ojeda Saavedra
20 papers receiving 564 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Infectious Diseases 300
- Molecular Medicine 173
- Molecular Biology 149
- Public Health, Environmental and Occupational Health 142
- Epidemiology 98
Countries citing papers authored by Matthew Ojeda Saavedra
This map shows the geographic impact of Matthew Ojeda Saavedra'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 Matthew Ojeda Saavedra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Ojeda Saavedra more than expected).
Fields of papers citing papers by Matthew Ojeda Saavedra
This network shows the impact of papers produced by Matthew Ojeda Saavedra. 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 Matthew Ojeda Saavedra. The network helps show where Matthew Ojeda Saavedra may publish in the future.
Co-authorship network of co-authors of Matthew Ojeda Saavedra
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Ojeda Saavedra. A scholar is included among the top collaborators of Matthew Ojeda Saavedra 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 Matthew Ojeda Saavedra. Matthew Ojeda Saavedra 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 | Signals of Significantly Increased Vaccine Breakthrough, Decreased Hospitalization Rates, and Less Severe Disease in Patients with Coronavirus Disease 2019 Caused by the Omicron Variant of Severe Acute Respiratory Syndrome Coronavirus 2 in Houston, Texasbreakdown → | 127 |
| 3 | 4 | |
| 4 | 10 | |
| 5 | 28 | |
| 6 | 29 | |
| 7 | 11 | |
| 8 | 13 | |
| 9 | 11 | |
| 10 | 10 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 47 | |
| 17 | 34 | |
| 18 | 41 | |
| 19 | 17 | |
| 20 | 135 |
About Matthew Ojeda Saavedra
Matthew Ojeda Saavedra is a scholar working on Molecular Medicine, Infectious Diseases and Clinical Biochemistry, having authored 22 papers that have together received 566 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (13 papers), Antimicrobial Resistance in Staphylococcus (10 papers) and Neonatal and Maternal Infections (6 papers). The work is most often cited by research in Molecular Medicine (173 citations), Infectious Diseases (300 citations) and Endocrinology (67 citations). Matthew Ojeda Saavedra has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include James J. Davis, Concepcion Cantu, S. Wesley Long, James M. Musser, Randall J. Olsen, Randall J. Olsen, Thomas Brettin, Stephen B. Beres, Luchang Zhu and Madison Shyer. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications 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.