Angus Best

5.2k citations
34 papers · 1.1k · h-index 20

Impact in

  • Endocrinology top 0.5%
    • Escherichia coli research studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • Clostridium difficile and Clostridium perfringens research

Papers in

    • Viral gastroenteritis research and epidemiology 24
    • Clostridium difficile and Clostridium perfringens research 8
    • SARS-CoV-2 detection and testing 2
    • Escherichia coli research studies 25

Angus Best

34 papers receiving 1.1k citations

Peers

Angus Best
Comparison fields: 5 of 78
  • Endocrinology 721
  • Infectious Diseases 676
  • Food Science 282
  • Molecular Medicine 74
  • Biotechnology 97
Replace A M Svennerholm with:
A M Svennerholm Sweden
C O Tacket United States
K A Birkness United States
Fabio Minelli Italy
Dagmara Kisiela United States
S S Bilge United States
Manohar John United States
Sofie Livio United States
Yolande Bertin France
Carol Currie United Kingdom
Angus Best relative to A M Svennerholm Sweden A M Svennerholm's profile →
Citations per field
00.5×7.6×
A M Svennerholm · 1×
Citations per year

Countries citing papers authored by Angus Best

Since Specialization
Citations

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

Fields of papers citing papers by Angus Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021145
2 200875
3 200470
4 200170
5 200868
6 200566
7 200557
8 200555
9 200748
10 202145
11 200342
12 201141
13 200539
14 200831
15 201129
16 200828
17 200528
18 200725
19 200322
20 200720

About Angus Best

Angus Best is a scholar working on Infectious Diseases, Endocrinology, Food Science, Genetics and Molecular Biology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Escherichia coli research studies (25 papers), Viral gastroenteritis research and epidemiology (24 papers), Clostridium difficile and Clostridium perfringens research (8 papers), Salmonella and Campylobacter epidemiology (8 papers), Probiotics and Fermented Foods (4 papers), Bacterial Genetics and Biotechnology (4 papers), Immune Response and Inflammation (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Endocrinology (721 citations), Infectious Diseases (676 citations), Food Science (282 citations), Molecular Medicine (74 citations) and Biotechnology (97 citations). Angus Best has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Roberto M. La Ragione, Martin J. Woodward, Mark P. Stevens, Andrew Wales, Gad Frankel, W.A. Cooley, M.J. Woodward, Alan McNally, A. R. Sayers and M.P. Dibb-Fuller. Their work appears in journals such as Infection and Immunity, Journal of Medical Microbiology, Veterinary Microbiology, Research in Veterinary Science and International Journal of Medical Microbiology.

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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