Shigenobu Koseki

3.8k citations
136 papers · 2.9k indexed · h-index 29

Shigenobu Koseki

134 papers receiving 2.7k citations

Peers

Shigenobu Koseki
Comparison fields: 5 of 134
  • Biotechnology 1.7k
  • Food Science 1.4k
  • Endocrinology 189
  • Animal Science and Zoology 269
  • Analytical Chemistry 234
Replace Heidy M.W. den Besten with:
Heidy M.W. den Besten Netherlands
R.C. McKellar Canada
Brendan A. Niemira United States
Pablo Salvador Fernández Escámez Spain
Mercedes López Spain
Rosa Marı́a Garcı́a-Gimeno Spain
Sun‐Young Lee South Korea
Frédéric Carlin France
Márcia Oliveira Spain
Maria Cristina Dantas Vanetti Brazil
Shigenobu Koseki relative to Heidy M.W. den Besten Netherlands Heidy M.W. den Besten's profile →
Citations per field
00.5×1.5×2.0×
Heidy M.W. den Besten · 1×
Citations per year

Countries citing papers authored by Shigenobu Koseki

Since Specialization
Citations

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

Fields of papers citing papers by Shigenobu Koseki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20241
3 20241
4 20241
5 202221
6 20218
7 20206
8 202010
9 201810
10
NON-DESTRUCTIVE ONLINE REAL-TIME MILK QUALITY DETERMINATION IN A MILKING ROBOT USING NEAR-INFRARED SPECTROSCOPIC SENSING SYSTEM
20185
11
PRACTICAL APPLICATION OF NEAR-INFRARED SPECTROSCOPY FOR DETERMINING RICE AMYLOSE CONTENT AT GRAIN ELEVATOR
20181
12
Physical Properties of NERICA Compared to Indica and Japonica Types of Rice
20181
13 20187
14 201625
15 20113
16
The way forward with predictive microbiology in the dairy industry
20103
17 20101
18 200611
19 200450
20 200239

About Shigenobu Koseki

Shigenobu Koseki is a scholar working on Biotechnology, Food Science and Endocrinology, having authored 136 papers that have together received 2.9k indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (71 papers), Microbial Inactivation Methods (45 papers), Food Safety and Hygiene (24 papers), Salmonella and Campylobacter epidemiology (19 papers), Spectroscopy and Chemometric Analyses (17 papers), GABA and Rice Research (16 papers), Meat and Animal Product Quality (11 papers) and Microencapsulation and Drying Processes (11 papers). The work is most often cited by research in Biotechnology (1.7k citations), Food Science (1.4k citations) and Endocrinology (189 citations). Shigenobu Koseki has collaborated with scholars based in Japan, Mozambique and China. Frequent co-authors include Seiichiro Isobe, Kazuhiko Itoh, Kazutaka Yamamoto, Shuso Kawamura, Kyoichiro Yoshida, Kento Koyama, Yasuko Mizuno, Yoshinori Kamitani, N. Nakamura and Takeo Shiina. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental 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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