Kuniko Kusama‐Eguchi

846 citations
34 papers · 717 indexed · h-index 14

Kuniko Kusama‐Eguchi

30 papers receiving 702 citations

Peers

Kuniko Kusama‐Eguchi
Comparison fields: 5 of 82
  • Biochemistry 156
  • Molecular Biology 527
  • Pharmacology 125
  • Cellular and Molecular Neuroscience 133
  • Neurology 40
Replace T. Schmidt‐Glenewinkel with:
T. Schmidt‐Glenewinkel United States
Géza Berecki Australia
Anuradha Bhukel Austria
JUDITH M. HUNT United Kingdom
Serge Birman France
Tomoo Okamura Japan
Mark Wogulis United States
Jantana Keereetaweep United States
Anand Krishna Tiwari India
Kuniko Kusama‐Eguchi relative to T. Schmidt‐Glenewinkel United States T. Schmidt‐Glenewinkel's profile →
Citations per field
00.5×1.6×
T. Schmidt‐Glenewinkel · 1×
Citations per year

Countries citing papers authored by Kuniko Kusama‐Eguchi

Since Specialization
Citations

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

Fields of papers citing papers by Kuniko Kusama‐Eguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuniko Kusama‐Eguchi. 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 Kuniko Kusama‐Eguchi. The network helps show where Kuniko Kusama‐Eguchi may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20190
3 20148
4 201327
5 20127
6 20117
7 201022
8 200915
9 20082
10 200726
11 20054
12 20058
13 200420
14 200376
15 19974
16 19968
17 199514
18 199424
19 199224
20 199117

About Kuniko Kusama‐Eguchi

Kuniko Kusama‐Eguchi is a scholar working on Biochemistry, Neurology and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 717 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Polyamine Metabolism and Applications (8 papers), Ion channel regulation and function (5 papers), Genetic and Environmental Crop Studies (5 papers), Amino Acid Enzymes and Metabolism (4 papers), Botanical Research and Chemistry (4 papers), Neurological diseases and metabolism (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Biochemistry (156 citations), Molecular Biology (527 citations) and Pharmacology (125 citations). Kuniko Kusama‐Eguchi has collaborated with scholars based in Japan, Belgium and Austria. Frequent co-authors include Kazuei Igarashi, Satoru Watanabe, Hiroshi Kobayashi, Tadashi Kusama, Fumio Ikegami, Fernand Lambein, Keiko Kashiwagi, Kazuko Watanabe, Takashi Masuko and Yu‐Haey Kuo. Their work appears in journals such as Food and Chemical Toxicology, European Journal of Biochemistry, Environmental Toxicology and Pharmacology, Journal of Pharmacological Sciences and Archives of Biochemistry and Biophysics.

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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