G K McMaster

3.6k citations
19 papers · 3.2k indexed · 1 hit paper · h-index 16

G K McMaster

19 papers receiving 2.9k citations

Hit Papers

Analysis of single- and double-stranded nucleic acids on ...2.3k197720261993200950010001.5k2.0k

Peers

G K McMaster
Comparison fields: 5 of 116
  • Animal Science and Zoology 426
  • Genetics 816
  • Molecular Biology 1.8k
  • Infectious Diseases 444
  • Virology 95
Replace Dennis G. Kleid with:
Dennis G. Kleid United States
Robert R. Friis Germany
Robert C. Orchard United States
J. T. August United States
Richard E. Lloyd United States
B Safer United States
Ari Hinkkanen Finland
Stephen J. Prowse Australia
Jadwiga Chroboczek France
Jade K. Forwood Australia
G K McMaster relative to Dennis G. Kleid United States Dennis G. Kleid's profile →
Citations per field
00.5×2.6×
Dennis G. Kleid · 1×
Citations per year

Countries citing papers authored by G K McMaster

Since Specialization
Citations

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

Fields of papers citing papers by G K McMaster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G K McMaster. 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 G K McMaster. The network helps show where G K McMaster may publish in the future.

Co-authorship network

The 25 scholars most cited alongside G K McMaster, 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 G K McMaster Line = papers co-authored together G K McMaster links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2010178
2 19984
3 199438
4 199333
5 199329
6 199236
7 199162
8 199119
9 1990107
10 19878
11 19873
12 198693
13 198616
14 198583
15 198236
16 198270
17 198148
18 1981117
19
Analysis of single- and double-stranded nucleic acids on polyacrylamide and agarose gels by using glyoxal and acridine orange.breakdown →
19772259

About G K McMaster

G K McMaster is a scholar working on Animal Science and Zoology, Virology, Genetics, Infectious Diseases and Immunology, having authored 19 papers that have together received 3.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Animal Virus Infections Studies (6 papers), Parvovirus B19 Infection Studies (3 papers), HIV Research and Treatment (2 papers), Molecular Biology Techniques and Applications (2 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA and protein synthesis mechanisms (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Animal Science and Zoology (426 citations), Genetics (816 citations), Molecular Biology (1.8k citations), Infectious Diseases (444 citations) and Virology (95 citations). G K McMaster has collaborated with scholars based in Switzerland, Germany and Bulgaria. Frequent co-authors include Gordon Carmichael, Bernhard Hirt, Roland Sahli, G. Siegl, Jon-Duri Tratschin, P Beard, Howard Engers, C. Victor Jongeneel, P. Schmid and Michel A. Horisberger. Their work appears in journals such as Journal of Virology, Nucleic Acids Research, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences and The Journal of Immunology.

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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