Danielle E. Anderson

10.4k citations
65 papers · 3.0k indexed · 2 hit papers · h-index 25

Danielle E. Anderson

64 papers receiving 3.0k citations

Hit Papers

Lessons from the host defences of bats, a unique viral re...2442020202620222024200400600

Peers

Danielle E. Anderson
Comparison fields: 5 of 143
  • Infectious Diseases 2.2k
  • Modeling and Simulation 209
  • General Dentistry 79
  • Virology 174
  • Animal Science and Zoology 360
Replace Xing‐Yi Ge with:
Xing‐Yi Ge China
Hanzhong Wang China
Michael Letko United States
Patricia V. Aguilar United States
Markus Eickmann Germany
Shuo Su China
Pragya D. Yadav India
Adam S. Lauring United States
Jean‐Claude Manuguerra France
Danielle E. Anderson relative to Xing‐Yi Ge China Xing‐Yi Ge's profile →
Citations per field
00.5×3.2×
Xing‐Yi Ge · 1×
Citations per year

Countries citing papers authored by Danielle E. Anderson

Since Specialization
Citations

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

Fields of papers citing papers by Danielle E. Anderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle E. Anderson. 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 Danielle E. Anderson. The network helps show where Danielle E. Anderson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20241
3 20231
4 202314
5 20224
6 202218
7 202124
8 20215
9 202124
10 202167
11 202070
12 202066
13 20206
14 202012
15 202082
16 2020128
17 201924
18 2019224
19 201817
20 2018101

About Danielle E. Anderson

Danielle E. Anderson is a scholar working on Infectious Diseases, Virology and General Dentistry, having authored 65 papers that have together received 3.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (24 papers), Viral Infections and Vectors (21 papers), Virology and Viral Diseases (18 papers), SARS-CoV-2 detection and testing (9 papers), Animal Virus Infections Studies (8 papers), Virus-based gene therapy research (7 papers), Viral Infections and Outbreaks Research (7 papers) and interferon and immune responses (6 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Modeling and Simulation (209 citations) and General Dentistry (79 citations). Danielle E. Anderson has collaborated with scholars based in Singapore, Australia and United States. Frequent co-authors include Lin‐Fa Wang, Chee Wah Tan, Wan Ni Chia, Matae Ahn, Mark Chen, Aaron T. Irving, Barnaby Edward Young, Yee‐Joo Tan, David Chien Lye and Randy Foo. Their work appears in journals such as Emerging Microbes & Infections, Journal of Virology, Scientific Reports, Viruses and Emerging infectious 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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