Scott J.N. McNabb
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology 17
- Viral Infections and Outbreaks Research 5
- Parasitology top 2%
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies 5
- Epidemiology top 5%
- Data-Driven Disease Surveillance 14
- Pneumonia and Respiratory Infections 9
- Mycobacterium research and diagnosis 7
- Pneumocystis jirovecii pneumonia detection and treatment 4
- Health top 5%
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- Zoonotic diseases and public health 5
- Co-authors
- Ziad A. MemishMichael H. IveyWillie J AndersonRuth Ann JajoskyDeborah A. AdamsPearl SharpAbdullah M. AssiriPeter E. Hilsenrath
- Journals
- Science (1 paper)SHILAP Revista de lepidopterología (3 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesSaudi ArabiaUganda
In The Last Decade
Scott J.N. McNabb
72 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 135
- Infectious Diseases 812
- Parasitology 203
- Modeling and Simulation 113
- Epidemiology 840
- Health 162
Countries citing papers authored by Scott J.N. McNabb
This map shows the geographic impact of Scott J.N. McNabb'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 Scott J.N. McNabb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott J.N. McNabb more than expected).
Fields of papers citing papers by Scott J.N. McNabb
This network shows the impact of papers produced by Scott J.N. McNabb. 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 Scott J.N. McNabb. The network helps show where Scott J.N. McNabb may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Scott J.N. McNabb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2020 | 21 | |
| 3 | 2018 | 5 | |
| 4 | 2018 | 7 | |
| 5 | 2018 | 1 | |
| 6 | 2017 | 33 | |
| 7 | 2017 | 7 | |
| 8 | 2017 | 8 | |
| 9 | 2015 | 1 | |
| 10 | 2015 | 10 | |
| 11 | 2013 | 6 | |
| 12 | 2012 | 55 | |
| 13 | 2012 | 21 | |
| 14 | 2010 | 77 | |
| 15 | 2010 | 19 | |
| 16 | 2009 | 20 | |
| 17 | 2008 | 78 | |
| 18 | 2004 | 30 | |
| 19 | 2002 | 62 | |
| 20 | 2000 | 3 |
About Scott J.N. McNabb
Scott J.N. McNabb is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 74 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), Data-Driven Disease Surveillance (14 papers), Pneumonia and Respiratory Infections (9 papers), Mycobacterium research and diagnosis (7 papers), COVID-19 epidemiological studies (5 papers), Viral Infections and Outbreaks Research (5 papers), Zoonotic diseases and public health (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). The work is most often cited by research in Infectious Diseases (812 citations), Parasitology (203 citations) and Modeling and Simulation (113 citations). Scott J.N. McNabb has collaborated with scholars based in United States, Saudi Arabia and Uganda. Frequent co-authors include Ziad A. Memish, Michael H. Ivey, Willie J Anderson, Ruth Ann Jajosky, Deborah A. Adams, Pearl Sharp, Abdullah M. Assiri, Peter E. Hilsenrath, Stephen E. Weis and Thaddeus L. Miller. Their work appears in journals such as Science, SHILAP Revista de lepidopterología 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.