Darryl Falzarano

9.6k citations
69 papers · 5.2k indexed · 2 hit papers · h-index 30
Topics
SARS-CoV-2 and COVID-19 Research (36 papers)COVID-19 Clinical Research Studies (26 papers)Viral Infections and Outbreaks Research (24 papers)

In The Last Decade

Darryl Falzarano

69 papers receiving 5.1k citations

Hit Papers

SARS and MERS: recent insights into emerging coronaviruses20132026201720212016201350010001.5k2.0k

Peers

Darryl Falzarano
Comparison fields: 5 of 145
  • Infectious Diseases 4.1k
  • Epidemiology 690
  • Molecular Biology 686
  • Neurology 652
  • Animal Science and Zoology 617
Replace Neeltje van Doremalen with:
Neeltje van Doremalen United States
KH Chan Hong Kong
Sandra Ciesek Germany
Ali M. Zaki Saudi Arabia
Sander van Boheemen Netherlands
Andrea Marzi United States
Anastasia Gulyaeva Netherlands
Xing‐Lou Yang China
Ben Hu China
Kin‐Hang Kok Hong Kong
Darryl Falzarano relative to Neeltje van Doremalen United States Neeltje van Doremalen's profile →
Citations per field
00.5×1.6×
Neeltje van Doremalen · 1×
Citations per year

Countries citing papers authored by Darryl Falzarano

Since Specialization
Citations

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

Fields of papers citing papers by Darryl Falzarano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darryl Falzarano. 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 Darryl Falzarano. The network helps show where Darryl Falzarano may publish in the future.

Co-authorship network of co-authors of Darryl Falzarano

This figure shows the co-authorship network connecting the top 25 collaborators of Darryl Falzarano. A scholar is included among the top collaborators of Darryl Falzarano 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 Darryl Falzarano. Darryl Falzarano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 6
3 2
4 3
5 3
6 7
7 4
8 8
9 3
10 6
11 10
12 50
13 6
14 1
15 52
16 47
17 32
18 6
19
SARS and MERS: recent insights into emerging coronavirusesbreakdown →
2393
20 45

About Darryl Falzarano

Darryl Falzarano is a scholar working on Infectious Diseases, Modeling and Simulation and Animal Science and Zoology, having authored 69 papers that have together received 5.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (36 papers), COVID-19 Clinical Research Studies (26 papers) and Viral Infections and Outbreaks Research (24 papers). The work is most often cited by research in Infectious Diseases (4.1k citations), Modeling and Simulation (419 citations) and Animal Science and Zoology (617 citations). Darryl Falzarano has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Vincent J. Munster, Emmie de Wit, Neeltje van Doremalen, Heinz Feldmann, Cynthia Martellaro, Dana Scott, Friederike Feldmann, Atsushi Okumura, Michael G. Katze and Angela L. Rasmussen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

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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