David R. Maass

745 citations
18 papers · 570 indexed · h-index 11

David R. Maass

17 papers receiving 559 citations

Peers

David R. Maass
Comparison fields: 5 of 62
  • Infectious Diseases 235
  • Animal Science and Zoology 99
  • Small Animals 60
  • Parasitology 49
  • Endocrinology 32
Replace J.A.J. Arts with:
J.A.J. Arts Netherlands
Chun Xia China
Enqi Du China
Ross Hamilton Australia
Steven Odongo Uganda
Sally J. Hicks United Kingdom
Tsuyoshi Baba Japan
Alex C. Jeffries United Kingdom
Brewster F. Kingham United States
David R. Maass relative to J.A.J. Arts Netherlands J.A.J. Arts's profile →
Citations per field
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Citations per year

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

The 25 scholars most cited alongside David R. Maass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David R. Maass Line = papers co-authored together David R. Maass links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20180
2 201510
3 20145
4 201318
5 20132
6 20134
7 20136
8 201134
9 200914
10 2007151
11 200727
12 200340
13
Cytokine mRNA expression and IFN-gamma production of immunised nematode resistant and susceptible lambs against natural poly-generic challenge
19976
14
Cytokine mRNA expression and IFN-gamma production in nematode resistant and susceptible line lambs artificially infected with gastro-intestinal nematodes
19977
15 199424
16 199175
17 199061
18 198986

About David R. Maass

David R. Maass is a scholar working on Small Animals, Infectious Diseases and Animal Science and Zoology, having authored 18 papers that have together received 570 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (4 papers), Helminth infection and control (4 papers), Glycosylation and Glycoproteins Research (3 papers), Fungal and yeast genetics research (3 papers), RNA and protein synthesis mechanisms (3 papers), Respiratory viral infections research (2 papers), Virus-based gene therapy research (2 papers) and Coccidia and coccidiosis research (2 papers). The work is most often cited by research in Infectious Diseases (235 citations), Animal Science and Zoology (99 citations) and Small Animals (60 citations). David R. Maass has collaborated with scholars based in New Zealand, United States and Australia. Frequent 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. Their work appears in journals such as Molecular BioSystems, International Journal for Parasitology, Journal of Virology, The Journal of Cell Biology and PLoS Pathogens.

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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