Daniel G. Bausch

9.5k citations
111 papers · 3.9k · h-index 29

Impact in

    • Viral Infections and Outbreaks Research
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • Disaster Response and Management

Papers in

Daniel G. Bausch

109 papers receiving 3.8k citations

Peers

Daniel G. Bausch
Comparison fields: 5 of 146
  • Infectious Diseases 3.0k
  • Emergency Medical Services 866
  • Modeling and Simulation 379
  • Virology 131
  • Epidemiology 664
Replace Ali S. Khan with:
Ali S. Khan United States
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Julius J. Lutwama Uganda
Ute Ströher United States
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Petra Emmerich Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniel G. Bausch

Since Specialization
Citations

This map shows the geographic impact of Daniel G. Bausch'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 Daniel G. Bausch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Bausch more than expected).

Fields of papers citing papers by Daniel G. Bausch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Bausch. 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 Daniel G. Bausch. The network helps show where Daniel G. Bausch may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel G. Bausch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel G. Bausch Line = papers co-authored together Daniel G. Bausch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007367
2 2004354
3 2000228
4 2004200
5 2007200
6 2011193
7 2007129
8 2003114
9 2016106
10 2016104
11 200799
12 200192
13 200168
14 202064
15 200761
16 201059
17 202058
18 201657
19 200556
20 200854

About Daniel G. Bausch

Daniel G. Bausch is a scholar working on Infectious Diseases, Emergency Medical Services, Epidemiology, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 111 papers that have together received 3.9k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (61 papers), Viral Infections and Vectors (34 papers), Disaster Response and Management (27 papers), COVID-19 epidemiological studies (10 papers), Hepatitis B Virus Studies (9 papers), Viral gastroenteritis research and epidemiology (9 papers), Mosquito-borne diseases and control (7 papers) and Influenza Virus Research Studies (6 papers). The work is most often cited by research in Infectious Diseases (3.0k citations), Emergency Medical Services (866 citations), Modeling and Simulation (379 citations), Virology (131 citations) and Epidemiology (664 citations). Daniel G. Bausch has collaborated with scholars based in United States, United Kingdom and Peru. Frequent co-authors include Pierre E. Rollin, Thomas G. Ksiazek, Stuart T. Nichol, Anthony Sanchez, Matthew Lukwiya, Mike Bray, Jonathan S. Towner, Mark G. Kortepeter, C. J. Peters and Siddhartha Mahanty. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, The Journal of Infectious Diseases, Emerging infectious diseases, PLoS ONE and PLoS neglected tropical 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.

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