Cynthia Schuck‐Paim
- Epidemiology top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Infectious Diseases top 10%
- Pulmonary and Respiratory Medicine
- Modeling and Simulation top 2%
- Co-authors
- Wladimir J. AlonsoRobert J. TaylorRoger LustigFrançois HaguinetGonçalo MatiasAlex KacelnikLone SimonsenLorena Pompilio
- Topics
- Influenza Virus Research Studies (16 papers)Pneumonia and Respiratory Infections (14 papers)Respiratory viral infections research (11 papers)
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Cynthia Schuck‐Paim
46 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 138
- Epidemiology 947
- Ecology, Evolution, Behavior and Systematics 242
- Infectious Diseases 237
- Pulmonary and Respiratory Medicine 167
- Modeling and Simulation 121
Countries citing papers authored by Cynthia Schuck‐Paim
This map shows the geographic impact of Cynthia Schuck‐Paim'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 Cynthia Schuck‐Paim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cynthia Schuck‐Paim more than expected).
Fields of papers citing papers by Cynthia Schuck‐Paim
This network shows the impact of papers produced by Cynthia Schuck‐Paim. 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 Cynthia Schuck‐Paim. The network helps show where Cynthia Schuck‐Paim may publish in the future.
Co-authorship network of co-authors of Cynthia Schuck‐Paim
This figure shows the co-authorship network connecting the top 25 collaborators of Cynthia Schuck‐Paim. A scholar is included among the top collaborators of Cynthia Schuck‐Paim 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 Cynthia Schuck‐Paim. Cynthia Schuck‐Paim 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 | 43 | |
| 3 | 47 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 100 | |
| 7 | 73 | |
| 8 | 17 | |
| 9 | 6 | |
| 10 | 13 | |
| 11 | 71 | |
| 12 | 51 | |
| 13 | 3 | |
| 14 | 49 | |
| 15 | 23 | |
| 16 | 11 | |
| 17 | 47 | |
| 18 | 2 | |
| 19 | 52 | |
| 20 | 75 |
About Cynthia Schuck‐Paim
Cynthia Schuck‐Paim is a scholar working on Modeling and Simulation, General Decision Sciences and Epidemiology, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (16 papers), Pneumonia and Respiratory Infections (14 papers) and Respiratory viral infections research (11 papers). The work is most often cited by research in Epidemiology (947 citations), Modeling and Simulation (121 citations) and General Decision Sciences (46 citations). Cynthia Schuck‐Paim has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Wladimir J. Alonso, Robert J. Taylor, Roger Lustig, François Haguinet, Gonçalo Matias, Alex Kacelnik, Lone Simonsen, Lorena Pompilio, Douglas Fleming and Eduardo Β. Ottoni. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Clinical Infectious Diseases.
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.