Takashi Ohkura

3.1k citations
63 papers · 2.6k · h-index 27

Impact in

Papers in

Takashi Ohkura

63 papers receiving 2.5k citations

Peers

Takashi Ohkura
Comparison fields: 5 of 111
  • Immunology 742
  • Molecular Biology 2.0k
  • Organic Chemistry 755
  • Cell Biology 344
  • Urology 85
Replace Christoph C. Geilen with:
Christoph C. Geilen Germany
Sakari Kellokumpu Finland
Stefan Müller Germany
Deborah Defeo-Jones United States
Nadya I. Tarasova United States
Hiroaki Nakagawa Japan
Kazuaki Ohtsubo Japan
Uwe Reichert France
Paola Gallinari Italy
Júlia Costa Portugal
Takashi Ohkura relative to Christoph C. Geilen Germany Christoph C. Geilen's profile →
Citations per field
00.5×3.1×
Christoph C. Geilen · 1×
Citations per year

Countries citing papers authored by Takashi Ohkura

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Ohkura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985229
2 1984198
3 1987196
4 1985191
5 1993129
6 1981120
7 200293
8 200792
9 200277
10 200376
11 199369
12 198463
13
Sugar chains of human cord serum alpha-fetoprotein: characteristics of N-linked sugar chains of glycoproteins produced in human liver and hepatocellular carcinomas.
199359
14 198158
15 199957
16 200549
17 200747
18 201346
19 199243
20 201040

About Takashi Ohkura

Takashi Ohkura is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Cardiology and Cardiovascular Medicine and Immunology, having authored 63 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (30 papers), Carbohydrate Chemistry and Synthesis (14 papers), Galectins and Cancer Biology (10 papers), Receptor Mechanisms and Signaling (7 papers), Cardiac electrophysiology and arrhythmias (5 papers), Lysosomal Storage Disorders Research (5 papers), Hormonal and reproductive studies (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Immunology (742 citations), Molecular Biology (2.0k citations), Organic Chemistry (755 citations), Cell Biology (344 citations) and Urology (85 citations). Takashi Ohkura has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Akira Kobata, Koji Yamashita, Katsuko Yamashita, Yoshihisa Tachibana, S. Takasaki, Hiroko Ideo, Naohisa Kochibe, Iwao Ueda, Ryohei Kimura and Shizuo Yamada. Their work appears in journals such as Journal of Biological Chemistry, Glycobiology, Journal of Pharmacology and Experimental Therapeutics, The Journal of Biochemistry and Life Sciences.

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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