Dawn L. Weir

707 total citations
13 papers, 182 citations indexed

About

Dawn L. Weir is a scholar working on Infectious Diseases, Virology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dawn L. Weir has authored 13 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Virology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dawn L. Weir's work include Rabies epidemiology and control (7 papers), Viral Infections and Vectors (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Dawn L. Weir is often cited by papers focused on Rabies epidemiology and control (7 papers), Viral Infections and Vectors (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Dawn L. Weir collaborates with scholars based in United States, Australia and South Africa. Dawn L. Weir's co-authors include Christopher C. Broder, Peter A. Reid, Ina Smith, Eric D. Laing, Lin‐Fa Wang, Brian C. Schaefer, Edward J. Annand, Sasha E. Larsen, Spencer L. Sterling and Andrew L. Snow and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Dawn L. Weir

12 papers receiving 178 citations

Peers

Dawn L. Weir
Edward J. Annand Australia
Danijela Rihtarič Slovenia
Edgard Adjogoua Ivory Coast
Amandine Esteban France
Marike Geldenhuys South Africa
Livia Victoria Patrono Germany
Vanina Boué France
Karen E. Kulas United States
Sean Lovett United States
Alexandra Petrosov United States
Edward J. Annand Australia
Dawn L. Weir
Citations per year, relative to Dawn L. Weir Dawn L. Weir (= 1×) peers Edward J. Annand

Countries citing papers authored by Dawn L. Weir

Since Specialization
Citations

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

Fields of papers citing papers by Dawn L. Weir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawn L. Weir. 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 Dawn L. Weir. The network helps show where Dawn L. Weir may publish in the future.

Co-authorship network of co-authors of Dawn L. Weir

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

All Works

13 of 13 papers shown
1.
Malloy, Allison M. W., Kawthar Machmach, Peifang Sun, et al.. (2023). High baseline frequencies of natural killer cells are associated with asymptomatic SARS-CoV-2 infection. SHILAP Revista de lepidopterología. 4. 100064–100064. 2 indexed citations
2.
Coggins, Si’Ana A., Madeline Rader, Lianying Yan, et al.. (2023). mAb therapy controls CNS‐resident lyssavirus infection via a CD4 T cell‐dependent mechanism. EMBO Molecular Medicine. 15(10). e16394–e16394. 9 indexed citations
3.
4.
Coggins, Si’Ana A., Imran Hussain, Lianying Yan, et al.. (2022). Control of established, CNS-resident lyssavirus infection by an adaptive immune response stimulated by single-dose monoclonal antibody therapy. The Journal of Immunology. 208(Supplement_1). 64.20–64.20. 1 indexed citations
5.
Kato, Yu, Nathaniel I. Bloom, Peifang Sun, et al.. (2022). Memory B-Cell Development After Asymptomatic or Mild Symptomatic SARS-CoV-2 Infection. The Journal of Infectious Diseases. 227(1). 18–22. 6 indexed citations
6.
Letizia, Andrew G., Yongchao Ge, Carl Goforth, et al.. (2021). SARS-CoV-2 Seropositivity among US Marine Recruits Attending Basic Training, United States, Spring–Fall 2020. Emerging infectious diseases. 27(4). 1188–1192. 11 indexed citations
7.
8.
Warrilow, David, Gregory A. Smith, Scott B. Craig, et al.. (2020). Establishment of a longitudinal pre-clinical model of lyssavirus infection. Journal of Virological Methods. 281. 113882–113882. 4 indexed citations
9.
Laing, Eric D., Spencer L. Sterling, Dawn L. Weir, et al.. (2019). Enhanced Autophagy Contributes to Reduced Viral Infection in Black Flying Fox Cells. Viruses. 11(3). 260–260. 31 indexed citations
10.
Broder, Christopher C., Dawn L. Weir, & Peter A. Reid. (2016). Hendra virus and Nipah virus animal vaccines. Vaccine. 34(30). 3525–3534. 65 indexed citations
11.
Weir, Dawn L., Eric D. Laing, Ina Smith, Lin‐Fa Wang, & Christopher C. Broder. (2014). Host cell virus entry mediated by Australian bat lyssavirus G envelope glycoprotein occurs through a clathrin-mediated endocytic pathway that requires actin and Rab5. Virology Journal. 11(1). 40–40. 21 indexed citations
12.
Weir, Dawn L., Edward J. Annand, Peter A. Reid, & Christopher C. Broder. (2014). Recent Observations on Australian Bat Lyssavirus Tropism and Viral Entry. Viruses. 6(2). 909–926. 19 indexed citations
13.
Weir, Dawn L., Ina Smith, Katharine N. Bossart, Lin‐Fa Wang, & Christopher C. Broder. (2013). Host cell tropism mediated by Australian bat lyssavirus envelope glycoproteins. Virology. 444(1-2). 21–30. 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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