Keiko Abe

14.9k citations
458 papers · 11.2k indexed · h-index 55

Keiko Abe

443 papers receiving 10.7k citations

Peers

Keiko Abe
Comparison fields: 5 of 188
  • Sensory Systems 1.7k
  • Nutrition and Dietetics 2.6k
  • Biotechnology 1.1k
  • Biological Psychiatry 182
  • Molecular Biology 4.6k
Replace Karl‐Heinz Krause with:
Karl‐Heinz Krause Switzerland
Rui Curi Brazil
David L. Williams United States
Michael Emerson United Kingdom
Carol Kilkenny United Kingdom
David Rodbard United States
Vilhelm A. Bohr United States
Peter M. Elias United States
Tsutomu Suzuki Japan
Emilio Clementi Italy
Keiko Abe relative to Karl‐Heinz Krause Switzerland Karl‐Heinz Krause's profile →
Citations per field
00.5×7.7×
Karl‐Heinz Krause · 1×
Citations per year

Countries citing papers authored by Keiko Abe

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 20241
5 20210
6 202126
7 202023
8 202011
9 20141
10 20130
11 20133
12
Validity and reliability of the Japanese versions of the Trait Emotional Intelligence Questionnaire-Short Form and the Jefferson Scale of Physician Empathy
20122
13 201150
14 201051
15
Magnetic Field Effect on the Transport Properties of the Anomalous Heavy Fermion PrFe 4 P 12
200313
16 20012
17 19962
18 199151
19 19899
20 19811

About Keiko Abe

Keiko Abe is a scholar working on Sensory Systems, Nutrition and Dietetics, Biotechnology, Molecular Biology and Plant Science, having authored 458 papers that have together received 11.2k indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (105 papers), Olfactory and Sensory Function Studies (85 papers), Advanced Chemical Sensor Technologies (44 papers), Enzyme Production and Characterization (41 papers), Phytase and its Applications (40 papers), Advanced Memory and Neural Computing (20 papers), Ferroelectric and Negative Capacitance Devices (17 papers) and Neurobiology and Insect Physiology Research (16 papers). The work is most often cited by research in Sensory Systems (1.7k citations), Nutrition and Dietetics (2.6k citations), Biotechnology (1.1k citations), Biological Psychiatry (182 citations) and Molecular Biology (4.6k citations). Keiko Abe has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Soichi Arai, Yasufumi Emori, Takumi Misaka, Ichiro Matsumoto, Tomiko Asakura, Hirohito Watanabe, Satoshi Arai, Akihito Yasuoka, Shinji Okada and Jennifer Cleland. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Journal of Agricultural and Food Chemistry, PLoS ONE, Biochemical and Biophysical Research Communications and Journal of Biological Chemistry.

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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