Keiko Tanaka

6.3k citations
170 papers · 4.8k indexed · h-index 36

Keiko Tanaka

165 papers receiving 4.7k citations

Peers

Keiko Tanaka
Comparison fields: 5 of 148
  • Cellular and Molecular Neuroscience 1.6k
  • Neurology 601
  • Neurology 306
  • Endocrine and Autonomic Systems 245
  • Cell Biology 569
Replace Joseph E. Mazurkiewicz with:
Joseph E. Mazurkiewicz United States
Régis Grailhe South Korea
Takashi Hayashi Japan
Michael F. Marmor United States
Ming Xu United States
M. Litt United States
Kenji Nakamura Japan
Michael G. Kaplitt United States
Matthew P. Anderson United States
Bernard Poulain France
Keiko Tanaka relative to Joseph E. Mazurkiewicz United States Joseph E. Mazurkiewicz's profile →
Citations per field
00.5×1.5×1.8×
Joseph E. Mazurkiewicz · 1×
Citations per year

Countries citing papers authored by Keiko Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202132
2 20195
3 20182
4 20160
5
The effect of ghrelin on the mitochondrial dysfunction in muscle and physical disability associated with aging
20121
6 201114
7 201124
8 200762
9 20063
10 200635
11
Modeling of ion-exclusion and vacancy ion-exclusion chromatography on a strongly acidic cation-exchange resin in the H+ form
20054
12
Analysis of peripheral blood mononuclear cells in operational tolerance after living-donor liver transplantation (LDLT).
20041
13 200449
14
Induction and characterization of alpha-D- galactosidase (EC 3.2.1.22) from Bifidobacterium breve 203
20001
15 200017
16 19970
17 19922
18
EXCITATORY AND INHIBITORY PATHWAYS TO CARDIO-ACCELERATORY NEURONS IN THE ISOPOD CRUSTACEAN BATHYNOMUS DOEDERLEINI : Physiology
19901
19 19637
20
Phenylketonuria in Japan.
19619

About Keiko Tanaka

Keiko Tanaka is a scholar working on Cellular and Molecular Neuroscience, Neurology and Sensory Systems, having authored 170 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (26 papers), Vestibular and auditory disorders (13 papers), Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (11 papers), Medical Imaging Techniques and Applications (11 papers), Retinal Development and Disorders (10 papers), Genetic Neurodegenerative Diseases (9 papers) and Ion channel regulation and function (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.6k citations), Neurology (601 citations) and Neurology (306 citations). Keiko Tanaka has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include George J Augustine, Fidel Santamarı́a, Izumi Shibuya, Hiroshi Yamashita, Akira Kakizuka, Kiyoshi Inoue, Yoichi Ueta, Yukio Yamamoto, Nobuya Harayama and Rumana Azad. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Neuron.

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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