M. M. Binns

9.8k citations
150 papers · 6.0k indexed · 1 hit paper · h-index 43
Topics
Genetic and phenotypic traits in livestock (29 papers)Animal Virus Infections Studies (26 papers)Herpesvirus Infections and Treatments (22 papers)

In The Last Decade

M. M. Binns

149 papers receiving 5.7k citations

Hit Papers

Completion of the Sequence of the Genome of the Coronavir...19872026200020131987100200300

Peers

M. M. Binns
Comparison fields: 5 of 118
  • Genetics 2.5k
  • Epidemiology 1.6k
  • Animal Science and Zoology 1.4k
  • Infectious Diseases 1.4k
  • Molecular Biology 1.3k
Replace Nikolaus Osterrieder with:
Nikolaus Osterrieder Germany
A. Pospischil Switzerland
Jolanta Kolodziejek Austria
Bernd Kaspers Germany
Elizabeth W. Howerth United States
Alain Vanderplasschen Belgium
James F. Evermann United States
Patricia A. Pesavento United States
Donald P. Knowles United States
Bernd Hoffmann Germany
M. M. Binns relative to Nikolaus Osterrieder Germany Nikolaus Osterrieder's profile →
Citations per field
00.5×1.7×
Nikolaus Osterrieder · 1×
Citations per year

Countries citing papers authored by M. M. Binns

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Binns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. M. Binns

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 17
2 21
3 2
4 7
5 8
6 14
7 344
8 8
9 1
10 8
11 3
12 2
13 1
14 8
15 16
16 4
17 76
18 16
19 29
20 55

About M. M. Binns

M. M. Binns is a scholar working on Equine, Virology and Animal Science and Zoology, having authored 150 papers that have together received 6.0k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (29 papers), Animal Virus Infections Studies (26 papers) and Herpesvirus Infections and Treatments (22 papers). The work is most often cited by research in Equine (253 citations), Animal Science and Zoology (1.4k citations) and Virology (519 citations). M. M. Binns has collaborated with scholars based in United Kingdom, United States and Slovakia. Frequent co-authors include M. E. G. Boursnell, T. D. K. Brown, Fiona M. Tomley, I. J. Foulds, N. G. Holmes, Joan Campbell-Tofte, J. A. Mumford, Matthew Breen, S. L. Debenham and June Swinburne. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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