Keiko Abe

447 papers receiving 11.4k citations

Peers

Keiko Abe
Comparison fields: 5 of 190
  • Sensory Systems 1.7k
  • Nutrition and Dietetics 2.7k
  • Biotechnology 1.2k
  • Biological Psychiatry 164
  • Molecular Biology 4.6k
Replace Daniel J. Drucker with:
Daniel J. Drucker Canada
Rui Curi Brazil
Karl‐Heinz Krause Switzerland
Peter M. Elias United States
Ying Chen China
Christopher Southan United Kingdom
Michael Emerson United Kingdom
Tsutomu Suzuki Japan
David Rodbard United States
Michael D. Cahalan United States
Keiko Abe relative to Daniel J. Drucker Canada Daniel J. Drucker's profile →
Citations per field
00.5×8.0×
Daniel J. Drucker · 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-authors

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

Showing the 20 most-cited of 461 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009334
2 2017330
3 1987227
4 1991203
5 2010197
6 1990179
7 2011161
8 2012149
9 2007148
10 1992143
11 2011141
12 2007133
13 1978133
14 2002126
15 2005121
16 2019118
17 2005105
18 2000103
19 199698
20 200494

About Keiko Abe

Keiko Abe is a scholar working on Molecular Biology, Nutrition and Dietetics, Sensory Systems, Plant Science and Biomedical Engineering, having authored 461 papers that have together received 11.9k indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (104 papers), Olfactory and Sensory Function Studies (82 papers), Advanced Chemical Sensor Technologies (44 papers), Enzyme Production and Characterization (41 papers), Phytase and its Applications (38 papers), Advanced Memory and Neural Computing (21 papers), Ferroelectric and Negative Capacitance Devices (17 papers) and Magnetic properties of thin films (17 papers). The work is most often cited by research in Sensory Systems (1.7k citations), Nutrition and Dietetics (2.7k citations), Biotechnology (1.2k citations), Biological Psychiatry (164 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 Jan‐Joost Rethans. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, PLoS ONE, Journal of Agricultural and Food Chemistry, 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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