Susan I. Gerber
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- John T. WatsonAmber HaynesHolly M. BiggsGlen R. AbediMarie E. KillerbyM. Steven ObersteW. Allan NixRoderick C. Jones
- Topics
- Respiratory viral infections research (36 papers)Viral gastroenteritis research and epidemiology (28 papers)SARS-CoV-2 and COVID-19 Research (20 papers)
- Partner nations
- United StatesSaudi ArabiaJordan
In The Last Decade
Susan I. Gerber
86 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Infectious Diseases 2.4k
- Epidemiology 1.4k
- Cardiology and Cardiovascular Medicine 560
- Modeling and Simulation 456
- Public Health, Environmental and Occupational Health 423
Countries citing papers authored by Susan I. Gerber
This map shows the geographic impact of Susan I. Gerber'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 Susan I. Gerber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan I. Gerber more than expected).
Fields of papers citing papers by Susan I. Gerber
This network shows the impact of papers produced by Susan I. Gerber. 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 Susan I. Gerber. The network helps show where Susan I. Gerber may publish in the future.
Co-authorship network of co-authors of Susan I. Gerber
This figure shows the co-authorship network connecting the top 25 collaborators of Susan I. Gerber. A scholar is included among the top collaborators of Susan I. Gerber 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 Susan I. Gerber. Susan I. Gerber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 40 | |
| 3 | 9 | |
| 4 | 14 | |
| 5 | 3 | |
| 6 | 39 | |
| 7 | 194 | |
| 8 | 11 | |
| 9 | 35 | |
| 10 | 30 | |
| 11 | 36 | |
| 12 | 288 | |
| 13 | 40 | |
| 14 | 7 | |
| 15 | 96 | |
| 16 | 123 | |
| 17 | 192 | |
| 18 | 13 | |
| 19 | 87 | |
| 20 | 80 |
About Susan I. Gerber
Susan I. Gerber is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 88 papers that have together received 4.1k indexed citations. Recurring topics across this work include Respiratory viral infections research (36 papers), Viral gastroenteritis research and epidemiology (28 papers) and SARS-CoV-2 and COVID-19 Research (20 papers). The work is most often cited by research in Infectious Diseases (2.4k citations), Modeling and Simulation (456 citations) and Epidemiology (1.4k citations). Susan I. Gerber has collaborated with scholars based in United States, Saudi Arabia and Jordan. Frequent co-authors include John T. Watson, Amber Haynes, Holly M. Biggs, Glen R. Abedi, Marie E. Killerby, M. Steven Oberste, W. Allan Nix, Roderick C. Jones, David L. Swerdlow and Claire M. Midgley. Their work appears in journals such as New England Journal of Medicine, Annals of Internal Medicine 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.