Akemi Tanaka

4.0k citations
100 papers · 2.5k · h-index 28

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 7
    • Retinal Development and Disorders 7
    • Lysosomal Storage Disorders Research 35

Akemi Tanaka

98 papers receiving 2.5k citations

Peers

Akemi Tanaka
Comparison fields: 5 of 134
  • Physiology 1.0k
  • Cell Biology 302
  • Physiology 76
  • Epidemiology 424
  • Genetics 316
Replace Francis M. Hughes with:
Francis M. Hughes United States
Jürgen Zapf Switzerland
Rosemary Jones United States
Kohei Yamauchi Japan
Yoko Saito Japan
Klaus Steger Germany
Enkui Duan China
Michael R. Hughes Canada
Tom P. Fleming United Kingdom
Wei Huang China
Akemi Tanaka relative to Francis M. Hughes United States Francis M. Hughes's profile →
Citations per field
00.5×3.0×
Francis M. Hughes · 1×
Citations per year

Countries citing papers authored by Akemi Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Akemi Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007285
2 2009125
3 2012112
4 201585
5 201477
6 199970
7 201570
8 199967
9 201567
10 200167
11 199967
12 201366
13 201555
14
MR imaging of the brain in patients with mucopolysaccharidosis.
199054
15 200954
16 201452
17 201550
18 202049
19 200548
20 199944

About Akemi Tanaka

Akemi Tanaka is a scholar working on Molecular Biology, Physiology, Epidemiology, Cellular and Molecular Neuroscience and Plant Science, having authored 100 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (35 papers), Trypanosoma species research and implications (11 papers), Glycosylation and Glycoproteins Research (7 papers), Glycogen Storage Diseases and Myoclonus (7 papers), Retinal Development and Disorders (7 papers), Carbohydrate Chemistry and Synthesis (6 papers), Climate change impacts on agriculture (6 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Physiology (1.0k citations), Cell Biology (302 citations), Physiology (76 citations), Epidemiology (424 citations) and Genetics (316 citations). Akemi Tanaka has collaborated with scholars based in Japan, United States and Brazil. Frequent co-authors include Douglas A. Melton, Ben Z. Stanger, Yasuyuki Suzuki, Tadao Orii, Kiyoshi Takahashi, Yonghee Shin, Tomoko Hasegawa, Toshihiko Masui, Shinichiro Fujimori and Torayuki Okuyama. Their work appears in journals such as Molecular Genetics and Metabolism, Molecular Case Studies, Journal of Inherited Metabolic Disease, Journal of Crystal Growth and Annals of Neurology.

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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