Mika Koizumi

955 citations
36 papers · 658 indexed · h-index 13

Mika Koizumi

36 papers receiving 621 citations

Peers

Mika Koizumi
Comparison fields: 5 of 84
  • Physiology 56
  • Analytical Chemistry 84
  • Plant Science 288
  • Insect Science 87
  • Nutrition and Dietetics 108
Replace Hiromi Kano with:
Hiromi Kano Japan
Jung-Hyun Kim South Korea
M. P. Rosato Italy
Pinhas Lindner Israel
Subhasish Chatterjee United States
Elena A. Golovina Netherlands
Joan M Bain Australia
Anthony D. Stead United Kingdom
Matthew R. Gronquist United States
G. Chilosi Italy
Mika Koizumi relative to Hiromi Kano Japan Hiromi Kano's profile →
Citations per field
00.5×6.7×
Hiromi Kano · 1×
Citations per year

Countries citing papers authored by Mika Koizumi

Since Specialization
Citations

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

Fields of papers citing papers by Mika Koizumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Tracking Manganese Ion Uptake and Transport by the Root System of Broad Bean Plants by Micro-Magnetic Resonance Imaging
20151
2
Lens: Water channel for dry broad bean seeds at germination observed by micro-magnetic resonance imaging
20143
3
Water Entry in Dry Soybeans at Imbibition Observed by Dedicated Micro-Magnetic Resonance Imaging
20148
4
Non-invasive observations of an infestation by the peach fruit moth, Carposina sasakii Matsumura (Lepidoptera: Carposinidae) in apples using a 0.2-T compact MRI system.
20092
5 20094
6 200817
7 200861
8 20071
9 200616
10 200676
11 200526
12 20035
13 200132
14
20002
15 199912
16 199979
17 199583
18 199114
19 198951
20 19881

About Mika Koizumi

Mika Koizumi is a scholar working on Physiology, Analytical Chemistry and Plant Science, having authored 36 papers that have together received 658 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (8 papers), Magnetic and Electromagnetic Effects (6 papers), Seed Germination and Physiology (5 papers), Soybean genetics and cultivation (5 papers), NMR spectroscopy and applications (4 papers), Food composition and properties (3 papers), Plant responses to water stress (3 papers) and Insect and Pesticide Research (3 papers). The work is most often cited by research in Physiology (56 citations), Analytical Chemistry (84 citations) and Plant Science (288 citations). Mika Koizumi has collaborated with scholars based in Japan, Slovakia and Canada. Frequent co-authors include Hiromi Kano, Nobuaki Ishida, Kaori Kikuchi, Hiroaki Noda, Nobuhiko Nakashima, Shigehiro Naito, Hiroshi Mizuno, Tomoyuki Haishi, Seiichiro Isobe and Toshio Kobayashi. Their work appears in journals such as Journal of Molecular Biology, Annals of Botany and Journal of Plant Physiology.

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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