Akira Seko

1.9k total citations
62 papers, 1.5k citations indexed

About

Akira Seko is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Akira Seko has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 32 papers in Organic Chemistry and 25 papers in Cell Biology. Recurrent topics in Akira Seko's work include Glycosylation and Glycoproteins Research (54 papers), Carbohydrate Chemistry and Synthesis (32 papers) and Galectins and Cancer Biology (18 papers). Akira Seko is often cited by papers focused on Glycosylation and Glycoproteins Research (54 papers), Carbohydrate Chemistry and Synthesis (32 papers) and Galectins and Cancer Biology (18 papers). Akira Seko collaborates with scholars based in Japan, United States and Czechia. Akira Seko's co-authors include Katsuko Yamashita, Hiroko Ideo, Yukishige Ito, Yoichi Takeda, Yasuhiro Kajihara, Masayuki Izumi, Masafumi Sakono, Masakazu Hachisu, Mujo Kim and Lekh Raj Juneja and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Akira Seko

62 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Akira Seko Japan 21 1.3k 609 553 348 119 62 1.5k
E. V. Chandrasekaran United States 24 1.1k 0.9× 565 0.9× 372 0.7× 256 0.7× 239 2.0× 63 1.3k
Markus Streiff Switzerland 21 1.0k 0.8× 441 0.7× 205 0.4× 116 0.3× 96 0.8× 47 1.4k
Weijia Ou United States 14 940 0.7× 186 0.3× 232 0.4× 401 1.2× 166 1.4× 15 1.3k
Eric R. Sjoberg United States 14 906 0.7× 229 0.4× 390 0.7× 227 0.7× 208 1.7× 16 1.1k
J. Michael Pierce United States 10 803 0.6× 290 0.5× 229 0.4× 184 0.5× 106 0.9× 12 927
Bradley K. Hayes United States 14 869 0.7× 506 0.8× 259 0.5× 151 0.4× 90 0.8× 19 963
Seok‐Ho Yu United States 15 901 0.7× 625 1.0× 206 0.4× 108 0.3× 147 1.2× 29 1.0k
David L. Shen Canada 12 690 0.5× 452 0.7× 281 0.5× 74 0.2× 97 0.8× 16 806
Barbara Dean United States 10 844 0.7× 268 0.4× 150 0.3× 196 0.6× 109 0.9× 10 967
Aikaterini Vassilakos Canada 13 732 0.6× 152 0.2× 405 0.7× 476 1.4× 40 0.3× 18 1.2k

Countries citing papers authored by Akira Seko

Since Specialization
Citations

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

Fields of papers citing papers by Akira Seko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Seko

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Seko. A scholar is included among the top collaborators of Akira Seko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akira Seko. Akira Seko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Ning, Akira Seko, Yoichi Takeda, & Yukishige Ito. (2020). Glycan dependent refolding activity of ER glucosyltransferase (UGGT). Biochimica et Biophysica Acta (BBA) - General Subjects. 1864(12). 129709–129709. 9 indexed citations
2.
Seko, Akira, et al.. (2020). Dimerization of ER-resident molecular chaperones mediated by ERp29. Biochemical and Biophysical Research Communications. 536. 52–58. 2 indexed citations
3.
Seko, Akira, et al.. (2017). PDI family protein ERp29 recognizes P-domain of molecular chaperone calnexin. Biochemical and Biophysical Research Communications. 487(3). 763–767. 22 indexed citations
4.
Dedola, Simone, Masayuki Izumi, Yutaka Makimura, et al.. (2016). Direct assay for endo-α-mannosidase substrate preference on correctly folded and misfolded model glycoproteins. Carbohydrate Research. 434. 94–98. 5 indexed citations
5.
Fujikawa, Kohki, Akihiko Koizumi, Masakazu Hachisu, et al.. (2015). Construction of a High‐Mannose‐Type Glycan Library by a Renewed Top‐Down Chemo‐Enzymatic Approach. Chemistry - A European Journal. 21(8). 3224–3233. 19 indexed citations
6.
Sakono, Masafumi, Akira Seko, Yoichi Takeda, et al.. (2014). Glycan specificity of a testis-specific lectin chaperone calmegin and effects of hydrophobic interactions. Biochimica et Biophysica Acta (BBA) - General Subjects. 1840(9). 2904–2913. 11 indexed citations
7.
Koizumi, Akihiko, Ichiro Matsuo, Akira Seko, et al.. (2013). Top‐Down Chemoenzymatic Approach to a High‐Mannose‐Type Glycan Library: Synthesis of a Common Precursor and Its Enzymatic Trimming. Angewandte Chemie International Edition. 52(29). 7426–7431. 54 indexed citations
8.
Sakono, Masafumi, Akira Seko, Yoichi Takeda, Masakazu Hachisu, & Yukishige Ito. (2012). Biophysical properties of UDP-glucose:glycoprotein glucosyltransferase, a folding sensor enzyme in the ER, delineated by synthetic probes. Biochemical and Biophysical Research Communications. 426(4). 504–510. 19 indexed citations
9.
Ideo, Hiroko, et al.. (2011). Galectin-8-N-domain Recognition Mechanism for Sialylated and Sulfated Glycans. Journal of Biological Chemistry. 286(13). 11346–11355. 116 indexed citations
10.
Seko, Akira, Toshihiro Yamase, & Katsuko Yamashita. (2009). Polyoxometalates as effective inhibitors for sialyl- and sulfotransferases. Journal of Inorganic Biochemistry. 103(7). 1061–1066. 49 indexed citations
11.
Seko, Akira, Fumio Kataoka, Daisuke Aoki, et al.. (2009). β1,3-Galactosyltransferases-4/5 Are Novel Tumor Markers for Gynecological Cancers. Tumor Biology. 30(1). 43–50. 15 indexed citations
12.
Seko, Akira & Katsuko Yamashita. (2008). Activation of β1,3-N-Acetylglucosaminyltransferase-2 (β3Gn-T2) by β3Gn-T8. Journal of Biological Chemistry. 283(48). 33094–33100. 39 indexed citations
13.
Seko, Akira. (2006). Complex Formation of Glycosyltransferases and Their Biological Significance. Trends in Glycoscience and Glycotechnology. 18(101). 209–230. 6 indexed citations
14.
15.
Ideo, Hiroko, Akira Seko, & Katsuko Yamashita. (2004). Galectin-4 Binds to Sulfated Glycosphingolipids and Carcinoembryonic Antigen in Patches on the Cell Surface of Human Colon Adenocarcinoma Cells. Journal of Biological Chemistry. 280(6). 4730–4737. 101 indexed citations
16.
Seko, Akira, Naoshi Dohmae, Koji Takio, & Katsuko Yamashita. (2003). β1,4-Galactosyltransferase (β4GalT)-IV Is Specific for GlcNAc 6-O-Sulfate. Journal of Biological Chemistry. 278(11). 9150–9158. 37 indexed citations
17.
Seko, Akira & Katsuko Yamashita. (2003). β1,3‐N‐Acetylglucosaminyltransferase‐7 (β3Gn‐T7) acts efficiently on keratan sulfate‐related glycans. FEBS Letters. 556(1-3). 216–220. 32 indexed citations
18.
Seko, Akira. (1992). A Glycoprotease Recognizing O-Linked Glycans. Trends in Glycoscience and Glycotechnology. 4(17). 291–292. 1 indexed citations
19.
Seko, Akira. (1991). Odorant Signal Termination by Olfactory UDP-Glucuronosyl Transferase. Trends in Glycoscience and Glycotechnology. 3(13). 370–371. 1 indexed citations
20.
Seko, Akira. (1991). Regulation of Interleukin 2-Dependent Growth Responses by Glycosylphosphatidylinositol Molecules.. Trends in Glycoscience and Glycotechnology. 3(10). 127–128. 1 indexed citations

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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