Ariane J. Brown

5.7k total citations · 2 hit papers
6 papers, 2.3k citations indexed

About

Ariane J. Brown is a scholar working on Infectious Diseases, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ariane J. Brown has authored 6 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Immunology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ariane J. Brown's work include SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and interferon and immune responses (2 papers). Ariane J. Brown is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers) and interferon and immune responses (2 papers). Ariane J. Brown collaborates with scholars based in United States. Ariane J. Brown's co-authors include Ralph S. Baric, Timothy P. Sheahan, Amy Sims, John J. Won, Alexandra Schäfer, Tomáš Cihlář, Stephanie A. Montgomery, Sarah R. Leist, Mark R. Denison and Joy Y. Feng and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Ariane J. Brown

6 papers receiving 2.3k citations

Hit Papers

Comparative therapeutic efficacy of remdesivir and combin... 2019 2026 2021 2023 2020 2019 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Comparative therapeutic efficacy of remdesivir and combination lopinavir, ritonavir, and interferon beta against MERS-CoV
    2020 1.2k citations Timothy P. Sheahan, Amy Sims et al. Nature Communications profile →
  2. Broad spectrum antiviral remdesivir inhibits human endemic and zoonotic deltacoronaviruses with a highly divergent RNA dependent RNA polymerase
    2019 372 citations Ariane J. Brown, John J. Won et al. Antiviral Research profile →

Peers

Ariane J. Brown
Zhongsi Hong China
Xiuyuan Ou China
Stefanie Gierer Germany
Denisa Bojková Germany
Darius Babusis United States
Xianyue Wang China
John J. Won United States
Prathanporn Kaewpreedee Hong Kong
Silvio Steiner Switzerland
Zhongsi Hong China
Ariane J. Brown
Citations per year, relative to Ariane J. Brown Ariane J. Brown (= 1×) peers Zhongsi Hong

Countries citing papers authored by Ariane J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Ariane J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariane J. Brown. 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 Ariane J. Brown. The network helps show where Ariane J. Brown may publish in the future.

Co-authorship network of co-authors of Ariane J. Brown

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

All Works

6 of 6 papers shown
1.
Dinnon, Kenneth H., Sarah R. Leist, Alexandra Schäfer, et al.. (2021). Publisher Correction: A mouse-adapted model of SARS-CoV-2 to test COVID-19 countermeasures. Nature. 590(7844). E22–E22. 7 indexed citations
2.
Leist, Sarah R., Kenneth H. Dinnon, Alexandra Schäfer, et al.. (2020). A Mouse-Adapted SARS-CoV-2 Induces Acute Lung Injury and Mortality in Standard Laboratory Mice. Cell. 183(4). 1070–1085.e12. 332 indexed citations
3.
Sheahan, Timothy P., Amy Sims, Sarah R. Leist, et al.. (2020). Comparative therapeutic efficacy of remdesivir and combination lopinavir, ritonavir, and interferon beta against MERS-CoV. Nature Communications. 11(1). 222–222. 1241 indexed citations breakdown →
4.
Dinnon, Kenneth H., Sarah R. Leist, Alexandra Schäfer, et al.. (2020). A mouse-adapted model of SARS-CoV-2 to test COVID-19 countermeasures. Nature. 586(7830). 560–566. 381 indexed citations
5.
Brown, Ariane J., John J. Won, Rachel L. Graham, et al.. (2019). Broad spectrum antiviral remdesivir inhibits human endemic and zoonotic deltacoronaviruses with a highly divergent RNA dependent RNA polymerase. Antiviral Research. 169. 104541–104541. 372 indexed citations breakdown →
6.
Garrity, George M & Ariane J. Brown. (1978). Competition Binding Assay Using o-Methyl-[3H]-Demethyl- -Amanitin for Study of RNA Polymerase B. Experimental Biology and Medicine. 159(1). 98–104. 7 indexed citations

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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