Hidemasa Kodaka

539 citations
24 papers · 426 indexed · h-index 10
Topics
Identification and Quantification in Food (7 papers)Salmonella and Campylobacter epidemiology (4 papers)Bacterial Identification and Susceptibility Testing (4 papers)
Partner nations
JapanCanada

In The Last Decade

Hidemasa Kodaka

23 papers receiving 391 citations

Peers

Hidemasa Kodaka
Comparison fields: 5 of 83
  • Food Science 155
  • Molecular Biology 151
  • Ecology 74
  • Endocrinology 74
  • Infectious Diseases 68
Replace G L Lombard with:
G L Lombard United States
Sabine A. Tanner Switzerland
Kenneth W. Widmer United States
Rachel McCormick Canada
Muammer Göncüoğlu Türkiye
Coralie Fournier Switzerland
Wei-Wen Cao United States
Chongtao Ge United States
Musarrat Jahan Canada
Yeliz Yıldırım Türkiye
Hidemasa Kodaka relative to G L Lombard United States G L Lombard's profile →
Citations per field
00.5×
G L Lombard · 1×
Citations per year

Countries citing papers authored by Hidemasa Kodaka

Since Specialization
Citations

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

Fields of papers citing papers by Hidemasa Kodaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidemasa Kodaka

This figure shows the co-authorship network connecting the top 25 collaborators of Hidemasa Kodaka. A scholar is included among the top collaborators of Hidemasa Kodaka 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 Hidemasa Kodaka. Hidemasa Kodaka 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
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Comparison of the compact dry YM with the FDA BAM method for enumeration of yeasts and molds in fruit-based products. Performance-Tested Method 100401.
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About Hidemasa Kodaka

Hidemasa Kodaka is a scholar working on Endocrinology, Clinical Biochemistry and Food Science, having authored 24 papers that have together received 426 indexed citations. Recurring topics across this work include Identification and Quantification in Food (7 papers), Salmonella and Campylobacter epidemiology (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). The work is most often cited by research in Endocrinology (74 citations), Food Science (155 citations) and Biotechnology (66 citations). Hidemasa Kodaka has collaborated with scholars based in Japan and Canada. Frequent co-authors include G L Lombard, V. R. Dowell, Morihiro Iwata, D G Hollis, D J Brenner, Paul Edmonds, C M Patton, Hirotaka KONUMA, Takashi Masuda and Hiroshi Nakagawa. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and International Journal of Food 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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