Jun Niimi

1.2k citations
45 papers · 857 · h-index 19

Impact in

Papers in

    • Sensory Analysis and Statistical Methods 20
    • Fermentation and Sensory Analysis 19
    • Food Waste Reduction and Sustainability 5
    • Horticultural and Viticultural Research 10

Jun Niimi

44 papers receiving 846 citations

Peers

Jun Niimi
Comparison fields: 5 of 78
  • Tourism, Leisure and Hospitality Management 101
  • Food Science 571
  • Sensory Systems 134
  • Animal Science and Zoology 144
  • Nutrition and Dietetics 180
Replace Lukas Danner with:
Lukas Danner Australia
Gaëlle Arvisenet France
Amy G. Paisley New Zealand
Mara V. Galmarini Argentina
G. Caporale Italy
Michelle K. Beresford New Zealand
Denize Oliveira Brazil
Francisco José Pérez Elortondo Spain
Rafael Silva Cadena Brazil
Fernanda Bruzzone Uruguay
Jun Niimi relative to Lukas Danner Australia Lukas Danner's profile →
Citations per field
00.5×1.5×2.4×
Lukas Danner · 1×
Citations per year

Countries citing papers authored by Jun Niimi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Niimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021121
2 201371
3 201755
4 201641
5 202430
6 202028
7 202128
8 202227
9 201926
10 200923
11 201522
12 202222
13 201921
14 201721
15 201721
16 201520
17 202319
18 202118
19 202318
20 201416

About Jun Niimi

Jun Niimi is a scholar working on Food Science, Plant Science, Nutrition and Dietetics, Animal Science and Zoology and Ecology, having authored 45 papers that have together received 857 indexed citations. Recurring topics across this work include Sensory Analysis and Statistical Methods (20 papers), Fermentation and Sensory Analysis (19 papers), Horticultural and Viticultural Research (10 papers), Biochemical Analysis and Sensing Techniques (10 papers), Meat and Animal Product Quality (9 papers), Agriculture Sustainability and Environmental Impact (8 papers), Olfactory and Sensory Function Studies (8 papers) and Food Waste Reduction and Sustainability (5 papers). The work is most often cited by research in Tourism, Leisure and Hospitality Management (101 citations), Food Science (571 citations), Sensory Systems (134 citations), Animal Science and Zoology (144 citations) and Nutrition and Dietetics (180 citations). Jun Niimi has collaborated with scholars based in Australia, Sweden and New Zealand. Frequent co-authors include Susan E.P. Bastian, Elizabeth S. Collier, Patrick Silcock, Phil Bremer, Penny Bergman, Conor M. Delahunty, Paul K. Boss, Lukas Danner, Richard Splivallo and Anne Normann. Their work appears in journals such as Food Quality and Preference, LWT, American Journal of Enology and Viticulture, Food Research International and Future Foods.

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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