Jennifer Mosse

579 total citations
29 papers, 467 citations indexed

About

Jennifer Mosse is a scholar working on Epidemiology, Ecology and Education. According to data from OpenAlex, Jennifer Mosse has authored 29 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 6 papers in Ecology and 6 papers in Education. Recurrent topics in Jennifer Mosse's work include Influenza Virus Research Studies (12 papers), Respiratory viral infections research (10 papers) and Wildlife Ecology and Conservation (4 papers). Jennifer Mosse is often cited by papers focused on Influenza Virus Research Studies (12 papers), Respiratory viral infections research (10 papers) and Wildlife Ecology and Conservation (4 papers). Jennifer Mosse collaborates with scholars based in Australia, Singapore and Canada. Jennifer Mosse's co-authors include Ian Barr, Aeron C. Hurt, James M. McCaw, Fiona Hogan, Louise Carolan, Teagan Guarnaccia, Karen Laurie, Anne Kelso, Wendy Wright and Jodie McVernon and has published in prestigious journals such as The Journal of Immunology, Journal of Virology and The Journal of Infectious Diseases.

In The Last Decade

Jennifer Mosse

29 papers receiving 456 citations

Peers

Jennifer Mosse

EPIDE

IMMUN

ACS

Elisabeth Neumeier Germany

Harshvardhan B. Mehta United States

Pramila Rijal United Kingdom

E. V. Gavrilova Russia

Andrew J. Broadbent United States

Joanne DeStefano United States

Vamsee Mallajosyula United States

Marina Escalera‐Zamudio Mexico

Carolyn Nicolson United Kingdom

Louis Huzella United States

Elisabeth Neumeier Germany

Jennifer Mosse

430 ×1.3

EPIDE

163 ×1.4

214 ×2.5

IMMUN

136 ×1.6

81 ×1.2

ACS

Citations per year, relative to Jennifer Mosse Jennifer Mosse (= 1×) peers Elisabeth Neumeier

Countries citing papers authored by Jennifer Mosse

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Mosse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Mosse

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

All Works

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20 of 20 papers shown

Mosse, Jennifer, et al.. (2018). Isolating DNA sourced non-invasively from koala scats: a comparison of four commercial DNA stool kits. Conservation Genetics Resources. 11(2). 219–229. 4 indexed citations

Oh, Ding Yuan, et al.. (2017). Selection of Multi-Drug Resistant Influenza A and B Viruses under Zanamivir Pressure and their Replication Fitness in Ferrets. Antiviral Therapy. 23(4). 295–306. 14 indexed citations

Mosse, Jennifer, et al.. (2017). Validating the use of non-invasively sourced DNA for population genetic studies using pedigree data. Web Ecology. 17(1). 9–18. 4 indexed citations

Laurie, Karen, Teagan Guarnaccia, Louise Carolan, et al.. (2016). The time-interval between infections and viral hierarchies are determinants of viral interference following influenza virus infection in a ferret model. European Journal of Immunology. 46. 3 indexed citations

Mosse, Jennifer, et al.. (2016). A non-invasive tool for assessing pathogen prevalence in koala (Phascolarctos cinereus) populations: detection of Chlamydia pecorum and koala retrovirus (KoRV) DNA in genetic material sourced from scats. Conservation Genetics Resources. 8(4). 511–521. 15 indexed citations

Mosse, Jennifer, et al.. (2015). Factors affecting student motivation for STEM study. Proceedings of The Australian Conference on Science and Mathematics Education (formerly UniServe Science Conference). 1 indexed citations

Laurie, Karen, Teagan Guarnaccia, Louise Carolan, et al.. (2015). Interval Between Infections and Viral Hierarchy Are Determinants of Viral Interference Following Influenza Virus Infection in a Ferret Model. The Journal of Infectious Diseases. 212(11). 1701–1710. 83 indexed citations

Oh, Ding Yuan, et al.. (2015). Evaluation of a dry powder delivery system for laninamivir in a ferret model of influenza infection. Antiviral Research. 120. 66–71. 6 indexed citations

Mosse, Jennifer, et al.. (2013). Review of the clinical effectiveness of the neuraminidase inhibitors against influenza B viruses. Expert Review of Anti-infective Therapy. 11(11). 1135–1145. 17 indexed citations

10.

Guarnaccia, Teagan, Louise Carolan, Sebastian Maurer‐Stroh, et al.. (2013). Antigenic Drift of the Pandemic 2009 A(H1N1) Influenza Virus in a Ferret Model. PLoS Pathogens. 9(5). e1003354–e1003354. 67 indexed citations

11.

Mosse, Jennifer, et al.. (2013). Reliable genotyping of the koala (Phascolarctos cinereus) usingDNAisolated from a single faecal pellet. Molecular Ecology Resources. 13(4). 634–641. 25 indexed citations

12.

Wright, Wendy, et al.. (2012). Providing a flexible learning environment: are on-line lectures the answer?. International Journal of Innovation in Science and Mathematics Education. 20(1). 71–82. 1 indexed citations

13.

Deacon, Nicholas J., et al.. (2012). Potential Control of Human Immunodeficiency Virus Type 1 asp Expression by Alternative Splicing in the Upstream Untranslated Region. DNA and Cell Biology. 31(7). 1303–1313. 9 indexed citations

14.

Oh, Ding Yuan, Peng Cui, Hamid Hosseini, et al.. (2012). Potently Immunosuppressive 5-Fluorouracil–Resistant Mesenchymal Stromal Cells Completely Remit an Experimental Autoimmune Disease. The Journal of Immunology. 188(5). 2207–2217. 8 indexed citations

15.

Chapman, Brian, et al.. (2011). The probability isotherm: An intuitive non-equilibrium thermodynamic framework for biochemical kinetics. FedUni ResearchOnline (Federation University Australia). 17. 169–174. 4 indexed citations

16.

Mosse, Jennifer, et al.. (2011). Is the evolution of biochemistry texts decreasing fitness? A case study of pedagogical error in bioenergetics. FedUni ResearchOnline (Federation University Australia). 17. 187–192. 2 indexed citations

17.

Mosse, Jennifer, et al.. (2011). RECORDED LECTURES DON'T REPLACE THE 'REAL THING': WHAT THE STUDENTS SAY. FedUni ResearchOnline (Federation University Australia). 17. 127–132. 4 indexed citations

18.

Schliephake, Kirsten & Jennifer Mosse. (2010). Practicum and work experience in microbiology and related disciplines. Microbiology Australia. 31(1). 29–31. 1 indexed citations

19.

Ho, Hong‐Nerng, Aeron C. Hurt, Jennifer Mosse, & Ian Barr. (2007). Neuraminidase inhibitor drug susceptibility differs between influenza N1 and N2 neuraminidase following mutagenesis of two conserved residues. Antiviral Research. 76(3). 263–266. 18 indexed citations

20.

Barr, Ian, et al.. (2004). In vitro generation and characterisation of an influenza B variant with reduced sensitivity to neuraminidase inhibitors. Antiviral Research. 63(3). 177–181. 21 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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