Motoo Matsuda

2.2k citations
130 papers · 1.7k indexed · h-index 19
Topics
Salmonella and Campylobacter epidemiology (57 papers)Bacteriophages and microbial interactions (39 papers)Genomics and Phylogenetic Studies (18 papers)

In The Last Decade

Motoo Matsuda

125 papers receiving 1.6k citations

Peers

Motoo Matsuda
Comparison fields: 5 of 114
  • Food Science 951
  • Infectious Diseases 650
  • Molecular Biology 317
  • Ecology 258
  • Parasitology 202
Replace Carol W. Maddox with:
Carol W. Maddox United States
Doreene R. Hyatt United States
Teresa Y. Morishita United States
J. C. Low United Kingdom
Naoaki Misawa Japan
R. Ducatelle Belgium
Serge Messier Canada
Manuel Chirino‐Trejo Canada
Andréa Micke Moreno Brazil
Giuseppe Merialdi Italy
Motoo Matsuda relative to Carol W. Maddox United States Carol W. Maddox's profile →
Citations per field
00.5×1.5×2.4×
Carol W. Maddox · 1×
Citations per year

Countries citing papers authored by Motoo Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Motoo Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motoo Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Motoo Matsuda. A scholar is included among the top collaborators of Motoo Matsuda 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 Motoo Matsuda. Motoo Matsuda 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 0
2 0
3 3
4 4
5 8
6 2
7
Prevalence of unusual viral RNA, enteropathogens, Cryptosporidia in poultry litter, pig wastes and waterways of Ireland and their impact on environmental health
1
8 41
9 3
10 3
11 9
12 2
13 48
14 7
15 4
16 6
17 14
18 6
19
Detection of genomic variability among isolates of Campylobacter jejuni from chickens by crossed-field gel electrophoresis.
6
20 8

About Motoo Matsuda

Motoo Matsuda is a scholar working on Food Science, Microbiology and Endocrinology, having authored 130 papers that have together received 1.7k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (57 papers), Bacteriophages and microbial interactions (39 papers) and Genomics and Phylogenetic Studies (18 papers). The work is most often cited by research in Food Science (951 citations), Endocrinology (198 citations) and Infectious Diseases (650 citations). Motoo Matsuda has collaborated with scholars based in Japan, United Kingdom and Ireland. Frequent co-authors include John E. Moore, James Dooley, William J. Snelling, Paul J. Rooney, R. Rao, B. Cherie Millar, B. Cherie Millar, D.A. McDowell, Séamus Fanning and Deborah Corcoran. Their work appears in journals such as Applied and Environmental Microbiology, Biochemical and Biophysical Research Communications and Journal of Bacteriology.

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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