Daniel Mair

5.6k total citations
8 papers, 146 citations indexed

About

Daniel Mair is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Daniel Mair has authored 8 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 4 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Agronomy and Crop Science. Recurrent topics in Daniel Mair's work include Animal Disease Management and Epidemiology (4 papers), Vector-Borne Animal Diseases (4 papers) and Viral gastroenteritis research and epidemiology (2 papers). Daniel Mair is often cited by papers focused on Animal Disease Management and Epidemiology (4 papers), Vector-Borne Animal Diseases (4 papers) and Viral gastroenteritis research and epidemiology (2 papers). Daniel Mair collaborates with scholars based in United Kingdom, United States and Uganda. Daniel Mair's co-authors include Ana da Silva Filipe, Alain Kohl, Agnieszka M. Szemiel, Rute Maria Pinto, Matthew L. Turnbull, Oscar A. MacLean, Emma C. Thomson, Meredith Stewart, Andres Merits and Nicolás M. Suárez and has published in prestigious journals such as PLoS Pathogens, PLoS neglected tropical diseases and Viruses.

In The Last Decade

Daniel Mair

6 papers receiving 144 citations

Peers

Daniel Mair

ID

MB

PHEOH

EPIDE

IMMUN

Pamela C. De La Cruz-Rivera United States

Ikram Omar Osman France

Roy Avraham Israel

Christian Marier United States

Yukari Itakura Japan

Wilhelm Furnon United Kingdom

Liana E. Kafetzopoulou Belgium

Arthur Wickenhagen United Kingdom

Daniel Ferreira de Lima Neto Brazil

Mariel S. Mohns United States

Pamela C. De La Cruz-Rivera United States

Daniel Mair

90 ×0.8

ID

44 ×1.3

MB

23 ×1.1

PHEOH

24 ×1.3

EPIDE

72 ×4.8

IMMUN

Citations per year, relative to Daniel Mair Daniel Mair (= 1×) peers Pamela C. De La Cruz-Rivera

Countries citing papers authored by Daniel Mair

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Mair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Mair

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

All Works

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8 of 8 papers shown

1.

Bergner, Laura M., Stefano Catalano, Jenna Nichols, et al.. (2025). Quantifying viral load and characterizing virus diversity in wildlife samples with target enrichment sequencing. Microbial Genomics. 11(9).

2.

Spinard, Edward, Abel Wade, Hermann Unger, et al.. (2024). Near-complete genome sequences of multiple genotype 1 African swine fever virus isolates from 2016 to 2018 in Cameroon. Microbiology Resource Announcements. 13(4). e0097823–e0097823.

3.

Patton, Veronica, Daniel Goldfarb, Quan Gu, et al.. (2021). Long-term adaptation following influenza A virus host shifts results in increased within-host viral fitness due to higher replication rates, broader dissemination within the respiratory epithelium and reduced tissue damage. PLoS Pathogens. 17(12). e1010174–e1010174. 7 indexed citations

4.

Szemiel, Agnieszka M., Andres Merits, Richard Orton, et al.. (2021). In vitro selection of Remdesivir resistance suggests evolutionary predictability of SARS-CoV-2. PLoS Pathogens. 17(9). e1009929–e1009929. 100 indexed citations

5.

Desloire, Sophie, James I. Dunlop, Vattipally B. Sreenu, et al.. (2020). Development of a Reverse Genetics System for Toscana Virus (Lineage A). Viruses. 12(4). 411–411. 8 indexed citations

6.

Filipe, Ana da Silva, Vattipally B. Sreenu, Daniel Mair, et al.. (2019). Host genome depletion to determine the evolution, genetic diversity and transmission patterns of full genome sequences of African swine fever genotype IX from Uganda. Access Microbiology. 1(10). 1 indexed citations

7.

Dunlop, James I., Agnieszka M. Szemiel, Aitor Navarro, et al.. (2018). Development of reverse genetics systems and investigation of host response antagonism and reassortment potential for Cache Valley and Kairi viruses, two emerging orthobunyaviruses of the Americas. PLoS neglected tropical diseases. 12(10). e0006884–e0006884. 14 indexed citations

8.

Bamford, Connor, Elihú Aranday-Cortés, Daniel Mair, et al.. (2018). A polymorphic residue that attenuates the antiviral potential of interferon lambda 4 in hominid lineages. PLoS Pathogens. 14(10). e1007307–e1007307. 16 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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