Hidemasa Kodaka

539 total citations
24 papers, 426 citations indexed

About

Hidemasa Kodaka is a scholar working on Molecular Biology, Food Science and Endocrinology. According to data from OpenAlex, Hidemasa Kodaka has authored 24 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Food Science and 7 papers in Endocrinology. Recurrent topics in Hidemasa Kodaka's work include Identification and Quantification in Food (7 papers), Salmonella and Campylobacter epidemiology (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Hidemasa Kodaka is often cited by papers focused on Identification and Quantification in Food (7 papers), Salmonella and Campylobacter epidemiology (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Hidemasa Kodaka collaborates with scholars based in Japan and Canada. Hidemasa Kodaka's co-authors include G L Lombard, V. R. Dowell, Morihiro Iwata, C M Patton, Paul Edmonds, D J Brenner, D G Hollis, Shinya Kumagai, Takashi Masuda and T Kojima and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and International Journal of Food Microbiology.

In The Last Decade

Hidemasa Kodaka

23 papers receiving 391 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hidemasa Kodaka Japan 10 155 151 74 74 68 24 426
Kenneth W. Widmer United States 15 143 0.9× 196 1.3× 38 0.5× 108 1.5× 73 1.1× 24 546
R.-F. WANG United States 4 122 0.8× 143 0.9× 50 0.7× 64 0.9× 39 0.6× 6 319
Sigrid Rita Andersen Denmark 8 212 1.4× 227 1.5× 82 1.1× 60 0.8× 96 1.4× 10 536
G L Lombard United States 11 103 0.7× 143 0.9× 66 0.9× 78 1.1× 86 1.3× 16 453
Fethi Ben Abdallah Tunisia 15 158 1.0× 227 1.5× 35 0.5× 119 1.6× 97 1.4× 31 514
Brankica Filipić Serbia 13 168 1.1× 224 1.5× 45 0.6× 74 1.0× 37 0.5× 35 453
Tetsuro Koga Japan 14 125 0.8× 178 1.2× 157 2.1× 167 2.3× 68 1.0× 34 509
H.N. Chinivasagam Australia 11 170 1.1× 79 0.5× 58 0.8× 35 0.5× 56 0.8× 20 409
Wei-Wen Cao United States 12 87 0.6× 248 1.6× 87 1.2× 23 0.3× 62 0.9× 20 575
Kenji Takumi Japan 14 127 0.8× 208 1.4× 83 1.1× 103 1.4× 130 1.9× 47 511

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
1.
Kodaka, Hidemasa, et al.. (2012). Evaluation of the Dry Sheet Medium (Compact Dry ETBR) for Enumerating Enterobacteriaceae in Meat Samples. Biocontrol Science. 17(3). 149–154. 2 indexed citations
2.
Kodaka, Hidemasa, et al.. (2011). Compact DryR X-BC for the Enumeration of Bacillus cereus in Food Samples. Biocontrol Science. 16(2). 73–77.
3.
Tominaga, Kei, et al.. (2010). Evaluation of a Novel Rapid Detection System for Yeasts and Molds. Biocontrol Science. 15(4). 139–142. 1 indexed citations
4.
Kodaka, Hidemasa, et al.. (2010). Evaluation of the Compact Dry X-SA Method for Enumerating Staphylococcus aureus in Artificially Contaminated Food Samples. Biocontrol Science. 15(4). 149–154. 3 indexed citations
5.
Kodaka, Hidemasa, et al.. (2009). Evaluation of the Compact Dry VP Method for Screening Raw Seafood for Total Vibrio parahaemolyticus. Journal of Food Protection. 72(1). 169–173. 4 indexed citations
6.
Kodaka, Hidemasa, Mikako Saito, & Hideaki Matsuoka. (2009). Evaluation of a New Most-Probable-Number (MPN) Dilution Plate Method for the Enumeration of Escherichia coli in Water Samples. Biocontrol Science. 14(3). 123–126. 5 indexed citations
7.
Kodaka, Hidemasa, et al.. (2007). Evaluation of a new medium for the enumeration of total coliforms and Escherichia coli in Japanese surface waters. Journal of Applied Microbiology. 104(4). 1112–1118. 9 indexed citations
8.
Kodaka, Hidemasa, et al.. (2006). 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.. PubMed. 89(1). 127–38. 1 indexed citations
11.
Kodaka, Hidemasa, et al.. (2004). Nissui Glucose Fermentative Gram-Negative Rod Identification System EB-20 Gives a Unique Profile for Typical Non-Sorbitol-Fermenting Escherichia coli O157:H7. Journal of Clinical Microbiology. 42(1). 354–358. 1 indexed citations
13.
Kodaka, Hidemasa, et al.. (2000). Evaluation of Dry Sheet Medium Culture Plate (Compactdry TC) Method for Determining Numbers of Bacteria in Food Samples. Journal of Food Protection. 63(5). 665–667. 18 indexed citations
14.
Kodaka, Hidemasa, et al.. (2000). Improvement of Mannitol Lysine Crystal Violet Brilliant Green Agar for the Selective Isolation of H2S-Positive Salmonella. Journal of Food Protection. 63(12). 1643–1647. 8 indexed citations
15.
Nakagawa, Hiroshi, Yukiko Hara‐Kudo, Tadashi Kojima, et al.. (2000). Detection of freeze-injured Escherichia coli O157:H7 cells from foods by resuscitation prior to selective enrichment. International Journal of Food Microbiology. 60(1). 107–110. 3 indexed citations
16.
Kodaka, Hidemasa, et al.. (1996). Adenosine Triphosphate Content of Microorganisms Related with Food Spoilage.. Japanese Journal of Food Microbiology. 13(1). 29–34. 17 indexed citations
17.
Kodaka, Hidemasa, et al.. (1995). Evaluation of new medium with chromogenic substrates for members of the family Enterobacteriaceae in urine samples. Journal of Clinical Microbiology. 33(1). 199–201. 24 indexed citations
18.
Patton, C M, Hidemasa Kodaka, G L Lombard, et al.. (1985). Comparison of four hippurate hydrolysis methods for identification of thermophilic Campylobacter spp. Journal of Clinical Microbiology. 22(5). 714–718. 50 indexed citations
19.
Kodaka, Hidemasa, G L Lombard, & V. R. Dowell. (1982). Gas-liquid chromatography technique for detection of hippurate hydrolysis and conversion of fumarate to succinate by microorganisms. Journal of Clinical Microbiology. 16(5). 962–964. 15 indexed citations
20.
Hayashi, Nagao, et al.. (1980). On the Intragastric Formation of Nitrosodimethylamine in Monkeys Administered Dimethylamine and Sodium Nitrate Orally. Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi). 21(4). 273–282_1. 2 indexed citations

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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