Daniel R. Bourquain

547 citations
20 papers · 305 · h-index 12

Impact in

  • Virology top 5%
    • Poxvirus research and outbreaks
    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors

Papers in

Daniel R. Bourquain

19 papers receiving 302 citations

Peers

Daniel R. Bourquain
Comparison fields: 5 of 61
  • Virology 119
  • Infectious Diseases 115
  • Epidemiology 93
  • Modeling and Simulation 11
  • Immunology 28
Replace Sylvie Rato with:
Sylvie Rato Switzerland
Orna Avidan Israel
Tihana Kurtović Croatia
Julie P. Tran United States
Susana Posada-Céspedes Switzerland
Darryl B. Sampey United States
Allyson V. Ritchie United Kingdom
Elias Harkins United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel R. Bourquain

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Bourquain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel R. Bourquain, 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 R. Bourquain Line = papers co-authored together Daniel R. Bourquain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201356
2 202134
3 201026
4 202224
5 202320
6 200818
7 202217
8 202117
9 202115
10 202214
11 201212
12 201912
13 201611
14 20118
15 20216
16 20215
17 20234
18 20214
19 20252
20 20250

About Daniel R. Bourquain

Daniel R. Bourquain is a scholar working on Virology, Infectious Diseases, Epidemiology, Immunology and Global and Planetary Change, having authored 20 papers that have together received 305 indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (9 papers), Herpesvirus Infections and Treatments (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (5 papers), Plant Virus Research Studies (3 papers), Bacillus and Francisella bacterial research (3 papers), Biosensors and Analytical Detection (3 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Virology (119 citations), Infectious Diseases (115 citations), Epidemiology (93 citations), Modeling and Simulation (11 citations) and Immunology (28 citations). Daniel R. Bourquain has collaborated with scholars based in Germany, Tunisia and Taiwan. Frequent co-authors include Andreas Nitsche, Piotr Wojciech Dąbrowski, Lars Schaade, Janine F. Michel, Peter T. Witkowski, Annika Brinkmann, Eva Krause, Markus Neumann, Djin‐Ye Oh and Andreas Alois Kurth. Their work appears in journals such as Virology Journal, Eurosurveillance, Journal of Immunological Methods, Journal of Proteome Research and Viruses.

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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