T. Taki

1.6k citations
31 papers · 1.3k · h-index 18

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 22
    • ATP Synthase and ATPases Research 3
    • Galectins and Cancer Biology 6

T. Taki

31 papers receiving 1.3k citations

Peers

T. Taki
Comparison fields: 5 of 80
  • Neurology 500
  • Cellular and Molecular Neuroscience 384
  • Immunology 213
  • Molecular Biology 575
  • Cell Biology 124
Replace T Tai with:
T Tai Japan
Wouter Laroy Belgium
S. Melançon Canada
Stephen Buxser United States
Kazuyoshi Ueno Japan
Elsa-Noah N’Diaye France
J Burckhardt Switzerland
Alexey A. Belogurov Russia
Carmela DeLuca Canada
Gunn‐Guang Liou Taiwan
T. Taki relative to T Tai Japan T Tai's profile →
Citations per field
00.5×3.8×
T Tai · 1×
Citations per year

Countries citing papers authored by T. Taki

Since Specialization
Citations

This map shows the geographic impact of T. Taki'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 T. Taki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Taki more than expected).

Fields of papers citing papers by T. Taki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993383
2 1994136
3 199477
4 199669
5 199467
6 198664
7 199462
8
Ganglioside GD1alpha functions in the adhesion of metastatic tumor cells to endothelial cells of the target tissue.
199744
9 199542
10 199437
11
Detection of patients with cancer by monoclonal antibody directed to lactoneotetraosylceramide (paragloboside).
198831
12 199828
13 199626
14 198125
15 198523
16 200519
17 199219
18 199317
19 199816
20
Accumulation of gangliosides with N-acetylneuraminosyl(alpha 2-6)lactosamine structure in primary human hepatoma.
199016

About T. Taki

T. Taki is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (22 papers), Carbohydrate Chemistry and Synthesis (7 papers), Galectins and Cancer Biology (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Hereditary Neurological Disorders (3 papers), ATP Synthase and ATPases Research (3 papers) and Peripheral Neuropathies and Disorders (3 papers). The work is most often cited by research in Neurology (500 citations), Cellular and Molecular Neuroscience (384 citations), Immunology (213 citations), Molecular Biology (575 citations) and Cell Biology (124 citations). T. Taki has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Setsuko Handa, Takeshi Kasama, Masaki Takahashi, Nobuhiro Yuki, Kosuke Saito, T. Miyatake, Dai Ishikawa, Fuyuhiko Inagaki, S Handa and T Tai. Their work appears in journals such as Analytical Biochemistry, Journal of Biological Chemistry, Journal of Neuroimmunology, IUBMB Life and Journal of Liposome Research.

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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