Colin Macaulay

1.4k citations
24 papers · 1.1k · h-index 17

Impact in

  • Virology top 2%
    • Poxvirus research and outbreaks
  • Genetics top 10%
    • Virus-based gene therapy research

Papers in

Colin Macaulay

24 papers receiving 1.1k citations

Peers

Colin Macaulay
Comparison fields: 5 of 71
  • Virology 244
  • Genetics 283
  • Molecular Biology 587
  • Cell Biology 137
  • Epidemiology 290
Replace Carsten Lambert with:
Carsten Lambert Germany
Philip R. Andersen United States
Jack A. Ragheb United States
Roger J. Watson United Kingdom
R J Watson United Kingdom
Akinori Ishimoto Japan
Barbara Ink United Kingdom
Bheem M. Bhat Canada
Marc Lavigne France
Colin Macaulay relative to Carsten Lambert Germany Carsten Lambert's profile →
Citations per field
00.5×1.5×2.0×
Carsten Lambert · 1×
Citations per year

Countries citing papers authored by Colin Macaulay

Since Specialization
Citations

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

Fields of papers citing papers by Colin Macaulay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999222
2 1995166
3 1996146
4 1995116
5 201057
6 198344
7 201042
8 199140
9 200636
10 201335
11 200633
12 198429
13 201823
14 198723
15 200722
16 201720
17 201116
18 198915
19 201514
20 201413

About Colin Macaulay

Colin Macaulay is a scholar working on Immunology, Epidemiology, Plant Science, Molecular Biology and Virology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant Virus Research Studies (6 papers), Poxvirus research and outbreaks (5 papers), Protease and Inhibitor Mechanisms (5 papers), Nuclear Structure and Function (4 papers), Herpesvirus Infections and Treatments (4 papers), Virus-based gene therapy research (3 papers), Immune Response and Inflammation (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Virology (244 citations), Genetics (283 citations), Molecular Biology (587 citations), Cell Biology (137 citations) and Epidemiology (290 citations). Colin Macaulay has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Douglass J. Forbes, Grant McFadden, Maureen A. Powers, Frank R. Masiarz, David O. Willer, John W. Barrett, David H. Evans, Ling Chen, Cheryl Cameron and Alexandra Lucas. Their work appears in journals such as Virology, The Journal of Cell Biology, Journal of Biological Chemistry, Transplantation and PLoS ONE.

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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