Takashi Seiki

418 total citations
10 papers, 342 citations indexed

About

Takashi Seiki is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Takashi Seiki has authored 10 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Immunology. Recurrent topics in Takashi Seiki's work include Glycosylation and Glycoproteins Research (4 papers), Diabetes Treatment and Management (3 papers) and Pregnancy-related medical research (2 papers). Takashi Seiki is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Diabetes Treatment and Management (3 papers) and Pregnancy-related medical research (2 papers). Takashi Seiki collaborates with scholars based in Japan and United Kingdom. Takashi Seiki's co-authors include Shogo Oka, Toshisuke Kawasaki, Koji Terayama, Akemi Nakamura, Yukari Miki, Yasunori Kozutsumi, Koji Takio, Norimasa Miyamoto, Eiki Takahashi and Junro Kuromitsu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Oncogene.

In The Last Decade

Takashi Seiki

10 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takashi Seiki Japan 8 201 93 87 55 54 10 342
V. Rao United States 4 392 2.0× 10 0.1× 174 2.0× 35 0.6× 20 0.4× 4 487
Peter Binkley United States 13 117 0.6× 74 0.8× 68 0.8× 156 2.8× 28 0.5× 30 522
Tessa Campbell Canada 11 250 1.2× 7 0.1× 117 1.3× 22 0.4× 35 0.6× 25 424
Masato Suenaga Japan 8 227 1.1× 21 0.2× 14 0.2× 35 0.6× 15 0.3× 17 537
Andrew Paterson United Kingdom 10 197 1.0× 23 0.2× 45 0.5× 27 0.5× 5 0.1× 12 327
Samuel E. Navon United States 11 302 1.5× 48 0.5× 66 0.8× 17 0.3× 4 0.1× 25 553
Michele Halimi Israel 12 611 3.0× 16 0.2× 22 0.3× 25 0.5× 7 0.1× 17 686
Mariko Kudo United States 12 329 1.6× 8 0.1× 286 3.3× 40 0.7× 176 3.3× 20 743
Andrew L. Barlow United Kingdom 7 205 1.0× 21 0.2× 46 0.5× 23 0.4× 4 0.1× 11 320
Bruce E. Batten United States 12 201 1.0× 129 1.4× 78 0.9× 35 0.6× 2 0.0× 17 371

Countries citing papers authored by Takashi Seiki

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Seiki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Seiki

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Seiki. A scholar is included among the top collaborators of Takashi Seiki 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 Takashi Seiki. Takashi Seiki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Yamazaki, Kazuto, Daisuke Iida, Shuichi Suzuki, et al.. (2013). A novel truncated glucagon-like peptide 2 (GLP-2) as a tool for analyzing GLP-2 receptor agonists. Biomedical Research. 34(3). 129–136. 9 indexed citations
2.
Shikata, Kohdoh, Mai Uesugi, Hiroyuki Katayama, et al.. (2013). Prediction of relaxin-3-induced downstream pathway resulting in anxiolytic-like behaviors in rats based on a microarray and peptidome analysis. Journal of Receptors and Signal Transduction. 33(4). 224–233. 21 indexed citations
3.
Yamazaki, Kazuto, Kazuma Takase, Daisuke Iida, et al.. (2012). Species-specific differences in agonistic activity of ago-allosteric modulators toward glucagon-like peptide 2 receptor. Biomedical Research. 33(6). 337–344. 2 indexed citations
4.
Yamazaki, Kazuto, Daisuke Iida, Shuichi Suzuki, et al.. (2012). Ago-allosteric modulators of human glucagon-like peptide 2 receptor. Bioorganic & Medicinal Chemistry Letters. 22(19). 6126–6135. 6 indexed citations
5.
Hida, Takayuki, Eiki Takahashi, Tomoko Hirohashi, et al.. (2006). Chronic Intracerebroventricular Administration of Relaxin-3 Increases Body Weight in Rats. Journal of Receptors and Signal Transduction. 26(3). 147–158. 79 indexed citations
6.
Shimizu, Hajime, Takashi Seiki, Makoto Asada, Kentaro Yoshimatsu, & Noriyuki Koyama. (2003). α6β1 integrin induces proteasome-mediated cleavage of erbB2 in breast cancer cells. Oncogene. 22(6). 831–839. 14 indexed citations
8.
Seiki, Takashi, et al.. (1999). Molecular Cloning and Expression of a Second Glucuronyltransferase Involved in the Biosynthesis of the HNK-1 Carbohydrate Epitope. Biochemical and Biophysical Research Communications. 255(1). 182–187. 59 indexed citations
9.
Terayama, Koji, Takashi Seiki, Akemi Nakamura, et al.. (1998). Purification and Characterization of a Glucuronyltransferase Involved in the Biosynthesis of the HNK-1 Epitope on Glycoproteins from Rat Brain. Journal of Biological Chemistry. 273(46). 30295–30300. 33 indexed citations
10.
Terayama, Koji, Shogo Oka, Takashi Seiki, et al.. (1997). Cloning and functional expression of a novel glucuronyltransferase involved in the biosynthesis of the carbohydrate epitope HNK-1. Proceedings of the National Academy of Sciences. 94(12). 6093–6098. 103 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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