María Saavedra-Campos
- Infectious Diseases top 2%
- Neurology top 10%
- Epidemiology
- Obstetrics and Gynecology top 5%
- Public Health, Environmental and Occupational Health
- Co-authors
- Paul ClearyJonathan S. Nguyen‐Van‐TamFu-Meng KhawJ. Kenneth BaillieKevin RooneyCharles BeckJohn Mair-JenkinsWei Shen Lim
- Topics
- Virology and Viral Diseases (3 papers)Streptococcal Infections and Treatments (3 papers)Vaccine Coverage and Hesitancy (3 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
María Saavedra-Campos
15 papers receiving 813 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Infectious Diseases 662
- Neurology 176
- Epidemiology 129
- Obstetrics and Gynecology 119
- Public Health, Environmental and Occupational Health 104
Countries citing papers authored by María Saavedra-Campos
This map shows the geographic impact of María Saavedra-Campos'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 María Saavedra-Campos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Saavedra-Campos more than expected).
Fields of papers citing papers by María Saavedra-Campos
This network shows the impact of papers produced by María Saavedra-Campos. 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 María Saavedra-Campos. The network helps show where María Saavedra-Campos may publish in the future.
Co-authorship network of co-authors of María Saavedra-Campos
This figure shows the co-authorship network connecting the top 25 collaborators of María Saavedra-Campos. A scholar is included among the top collaborators of María Saavedra-Campos 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 María Saavedra-Campos. María Saavedra-Campos 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 46 | |
| 10 | 23 | |
| 11 | 8 | |
| 12 | 16 | |
| 13 | 40 | |
| 14 | 7 | |
| 15 | 9 | |
| 16 | The Effectiveness of Convalescent Plasma and Hyperimmune Immunoglobulin for the Treatment of Severe Acute Respiratory Infections of Viral Etiology: A Systematic Review and Exploratory Meta-analysisbreakdown → | 656 |
| 17 | 12 |
About María Saavedra-Campos
María Saavedra-Campos is a scholar working on Infectious Diseases, Modeling and Simulation and Health, having authored 17 papers that have together received 840 indexed citations. Recurring topics across this work include Virology and Viral Diseases (3 papers), Streptococcal Infections and Treatments (3 papers) and Vaccine Coverage and Hesitancy (3 papers). The work is most often cited by research in Infectious Diseases (662 citations), Obstetrics and Gynecology (119 citations) and Neurology (176 citations). María Saavedra-Campos has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Paul Cleary, Jonathan S. Nguyen‐Van‐Tam, Fu-Meng Khaw, J. Kenneth Baillie, Kevin Rooney, Charles Beck, John Mair-Jenkins, Wei Shen Lim, Sooria Balasegaram and Theresa Lamagni. Their work appears in journals such as The Journal of Infectious Diseases, Thorax and Vaccine.
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.