David R. Maass

745 total citations
18 papers, 570 citations indexed

About

David R. Maass is a scholar working on Molecular Biology, Infectious Diseases and Small Animals. According to data from OpenAlex, David R. Maass has authored 18 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Small Animals. Recurrent topics in David R. Maass's work include Viral gastroenteritis research and epidemiology (4 papers), Helminth infection and control (4 papers) and Glycosylation and Glycoproteins Research (3 papers). David R. Maass is often cited by papers focused on Viral gastroenteritis research and epidemiology (4 papers), Helminth infection and control (4 papers) and Glycosylation and Glycoproteins Research (3 papers). David R. Maass collaborates with scholars based in New Zealand, United States and Australia. David R. Maass's co-authors include Paul H. Atkinson, Charles B. Shoemaker, Marianne S. Poruchynsky, A. Pernthaner, Jorge Sepúlveda, Cornelia C. Bergmann, A.R. Bellamy, Warwick N. Grant, G.B.L. Harrison and W. Hein and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and Journal of Virology.

In The Last Decade

David R. Maass

17 papers receiving 559 citations

Peers

David R. Maass

RNMI

GENET

ECOLO

Enqi Du China

Wen Yuan United States

Chun Xia China

Helmi Fijten Netherlands

Huaichang Sun China

Brewster F. Kingham United States

Brad L. Ericson United States

M. Polli Italy

Levon Abrahamyan Canada

Enqi Du China

David R. Maass

265 ×1.1

199 ×0.8

107 ×0.9

RNMI

127 ×1.1

GENET

52 ×0.5

ECOLO

Citations per year, relative to David R. Maass David R. Maass (= 1×) peers Enqi Du

Countries citing papers authored by David R. Maass

Since Specialization

Citations

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

Fields of papers citing papers by David R. Maass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Maass. 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 David R. Maass. The network helps show where David R. Maass may publish in the future.

Co-authorship network of co-authors of David R. Maass

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

All Works

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18 of 18 papers shown

Bircham, Peter W., et al.. (2018). Characterisation of the biological response of Saccharomyces cerevisiae to the loss of an allele of the eukaryotic initiation factor 4A. Biochemical and Biophysical Research Communications. 496(4). 1082–1087.

Cole, Sally, W. Hein, Ute Hoffmann, et al.. (2015). Identification of Targeting Peptides for Mucosal Delivery in Sheep and Mice. Molecular Pharmaceutics. 13(1). 202–210. 10 indexed citations

Bircham, Peter W., et al.. (2014). Kinetochore genes are required to fully activate secretory pathway expansion in S. cerevisiae under induced ER stress. Molecular BioSystems. 10(7). 1790–1802. 5 indexed citations

Bircham, Peter W., et al.. (2013). Networks of genes modulating the pleiotropic drug response in Saccharomyces cerevisiae. Molecular BioSystems. 10(1). 128–137. 18 indexed citations

Hanna, Reem, David R. Maass, Paul H. Atkinson, et al.. (2013). Characterizing the laulimalide–peloruside binding site using site-directed mutagenesis of TUB2 in S. cerevisiae. Molecular BioSystems. 10(1). 110–116. 2 indexed citations

Matthews, James, David R. Maass, Peter T. Northcote, Paul H. Atkinson, & Paul Teesdale‐Spittle. (2013). The Cellular Target Specifi city of Pateamine A. Zeitschrift für Naturforschung C. 68. 406–406. 4 indexed citations

Matthews, James, David R. Maass, Peter T. Northcote, Paul H. Atkinson, & Paul Teesdale‐Spittle. (2013). The Cellular Target Specificity of Pateamine A. Zeitschrift für Naturforschung C. 68(9-10). 406–415. 6 indexed citations

Bircham, Peter W., David R. Maass, Manivannan Yegambaram, et al.. (2011). Secretory pathway genes assessed by high-throughput microscopy and synthetic genetic array analysis. Molecular BioSystems. 7(9). 2589–2598. 34 indexed citations

Maass, David R., G.B.L. Harrison, Warwick N. Grant, W. Hein, & Charles B. Shoemaker. (2009). Intraspecific Epitopic Variation in a Carbohydrate Antigen Exposed on the Surface of Trichostrongylus colubriformis Infective L3 Larvae. PLoS Pathogens. 5(9). e1000597–e1000597. 14 indexed citations

10.

Maass, David R., Jorge Sepúlveda, A. Pernthaner, & Charles B. Shoemaker. (2007). Alpaca (Lama pacos) as a convenient source of recombinant camelid heavy chain antibodies (VHHs). Journal of Immunological Methods. 324(1-2). 13–25. 151 indexed citations

11.

Maass, David R., G.B.L. Harrison, Warwick N. Grant, & Charles B. Shoemaker. (2007). Three surface antigens dominate the mucosal antibody response to gastrointestinal L3-stage strongylid nematodes in field immune sheep. International Journal for Parasitology. 37(8-9). 953–962. 27 indexed citations

12.

Shaw, R.J., Margaret M. McNeill, David R. Maass, et al.. (2003). Identification and characterisation of an aspartyl protease inhibitor homologue as a major allergen of Trichostrongylus colubriformis. International Journal for Parasitology. 33(11). 1233–1243. 40 indexed citations

13.

Pernthaner, A., W. Cabaj, M. Stankiewicz, Joanne Davies, & David R. Maass. (1997). Cytokine mRNA expression and IFN-gamma production of immunised nematode resistant and susceptible lambs against natural poly-generic challenge. Acta Parasitologica. 42(3). 180–186. 6 indexed citations

14.

Pernthaner, A., A. Vlassoff, P.G.C. Douch, & David R. Maass. (1997). Cytokine mRNA expression and IFN-gamma production in nematode resistant and susceptible line lambs artificially infected with gastro-intestinal nematodes. 42(1). 7 indexed citations

15.

Maass, David R. & Paul H. Atkinson. (1994). Retention by the endoplasmic reticulum of rotavirus VP7 is controlled by three adjacent amino-terminal residues. Journal of Virology. 68(1). 366–378. 24 indexed citations

16.

Poruchynsky, Marianne S., David R. Maass, & Paul H. Atkinson. (1991). Calcium depletion blocks the maturation of rotavirus by altering the oligomerization of virus-encoded proteins in the ER.. The Journal of Cell Biology. 114(4). 651–656. 75 indexed citations

17.

Maass, David R. & Paul H. Atkinson. (1990). Rotavirus proteins VP7, NS28, and VP4 form oligomeric structures. Journal of Virology. 64(6). 2632–2641. 61 indexed citations

18.

Bergmann, Cornelia C., David R. Maass, Marianne S. Poruchynsky, Paul H. Atkinson, & A.R. Bellamy. (1989). Topology of the non-structural rotavirus receptor glycoprotein NS28 in the rough endoplasmic reticulum.. The EMBO Journal. 8(6). 1695–1703. 86 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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