Teppei Ikeya

1.4k total citations
38 papers, 1.0k citations indexed

About

Teppei Ikeya is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Teppei Ikeya has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 14 papers in Materials Chemistry and 9 papers in Spectroscopy. Recurrent topics in Teppei Ikeya's work include Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (14 papers) and Advanced NMR Techniques and Applications (7 papers). Teppei Ikeya is often cited by papers focused on Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (14 papers) and Advanced NMR Techniques and Applications (7 papers). Teppei Ikeya collaborates with scholars based in Japan, Germany and United Kingdom. Teppei Ikeya's co-authors include Peter Güntert, Yutaka Ito, Masaki Mishima, Masahiro Shirakawa, Masatsune Kainosho, Tsutomu Mikawa, Brian O. Smith, Tomomi Hanashima, Junpei Hamatsu and Nobuhiro Hayashi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Teppei Ikeya

34 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teppei Ikeya Japan 18 749 281 261 85 73 38 1.0k
Isabel Ayala France 18 774 1.0× 368 1.3× 449 1.7× 76 0.9× 40 0.5× 37 1.2k
Masaki Mishima Japan 24 1.2k 1.6× 239 0.9× 244 0.9× 76 0.9× 35 0.5× 55 1.5k
Raffaello Verardi United States 21 1.1k 1.4× 229 0.8× 427 1.6× 145 1.7× 113 1.5× 40 1.6k
Christoph Göbl Austria 19 824 1.1× 154 0.5× 150 0.6× 40 0.5× 47 0.6× 33 1.1k
Ioannis Gelis United States 15 918 1.2× 319 1.1× 247 0.9× 55 0.6× 48 0.7× 23 1.2k
John L. Battiste United States 10 1.4k 1.8× 219 0.8× 212 0.8× 68 0.8× 92 1.3× 15 1.6k
Francesca Massi United States 18 1.1k 1.4× 256 0.9× 332 1.3× 78 0.9× 41 0.6× 35 1.4k
Johan Kördel Sweden 17 1.1k 1.5× 307 1.1× 321 1.2× 84 1.0× 28 0.4× 22 1.4k
Jordan H. Chill Israel 20 811 1.1× 133 0.5× 171 0.7× 128 1.5× 28 0.4× 54 1.2k
Liskin Swint‐Kruse United States 26 1.6k 2.2× 401 1.4× 137 0.5× 45 0.5× 49 0.7× 66 1.8k

Countries citing papers authored by Teppei Ikeya

Since Specialization
Citations

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

Fields of papers citing papers by Teppei Ikeya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teppei Ikeya

This figure shows the co-authorship network connecting the top 25 collaborators of Teppei Ikeya. A scholar is included among the top collaborators of Teppei Ikeya 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 Teppei Ikeya. Teppei Ikeya 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.
2.
Inoue, Jin, et al.. (2023). Interactions of the N- and C-Terminal SH3 Domains of Drosophila Drk with the Proline-Rich Peptides from Sos and Dos. International Journal of Molecular Sciences. 24(18). 14135–14135. 2 indexed citations
3.
Ikeya, Teppei, Louise Fairall, Lauren R. Abbott, et al.. (2023). Structural insights into the complex of oncogenic KRas4B G12V and Rgl2, a RalA/B activator. Life Science Alliance. 7(1). e202302080–e202302080. 3 indexed citations
4.
Ikeya, Teppei, et al.. (2022). Insight into the C-terminal SH3 domain mediated binding of Drosophila Drk to Sos and Dos. Biochemical and Biophysical Research Communications. 625. 87–93. 2 indexed citations
5.
Yagi, Hiromasa, et al.. (2021). Molecular mechanism of glycolytic flux control intrinsic to human phosphoglycerate kinase. Proceedings of the National Academy of Sciences. 118(50). 10 indexed citations
6.
Ikeya, Teppei, David Ban, Donghan Lee, et al.. (2017). Solution NMR views of dynamical ordering of biomacromolecules. Biochimica et Biophysica Acta (BBA) - General Subjects. 1862(2). 287–306. 27 indexed citations
7.
Ito, Yutaka, et al.. (2016). Protein structure determination in living eukaryotic cells by in-cell NMR spectroscopy. 1 indexed citations
8.
Hirai, Go, Masaki Mishima, Kohsuke Inomata, et al.. (2016). A new carbamidemethyl-linked lanthanoid chelating tag for PCS NMR spectroscopy of proteins in living HeLa cells. Journal of Biomolecular NMR. 66(2). 99–110. 35 indexed citations
9.
Ikeya, Teppei, Tomomi Hanashima, Shiro Ikeda, et al.. (2016). Improved in-cell structure determination of proteins at near-physiological concentration. Scientific Reports. 6(1). 38312–38312. 36 indexed citations
10.
Schmidt, Elena Yu., Teppei Ikeya, Mitsuhiro Takeda, et al.. (2014). Automated resonance assignment of the 21 kDa stereo-array isotope labeled thioldisulfide oxidoreductase DsbA. Journal of Magnetic Resonance. 249. 88–93. 4 indexed citations
11.
Inoue, Jin, Teppei Ikeya, Masaki Mishima, et al.. (2013). An in-cell NMR study of monitoring stress-induced increase of cytosolic Ca2+ concentration in HeLa cells. Biochemical and Biophysical Research Communications. 438(4). 653–659. 25 indexed citations
12.
Ikeya, Teppei, Jun‐Goo Jee, Junpei Hamatsu, et al.. (2011). Exclusively NOESY-based automated NMR assignment and structure determination of proteins. Journal of Biomolecular NMR. 50(2). 137–146. 25 indexed citations
13.
Sobhanifar, Solmaz, Birgit Schneider, Frank Löhr, et al.. (2010). Structural investigation of the C-terminal catalytic fragment of presenilin 1. Proceedings of the National Academy of Sciences. 107(21). 9644–9649. 63 indexed citations
14.
Ikeya, Teppei, Atsuko Sasaki, Daisuke Sakakibara, et al.. (2010). NMR protein structure determination in living E. coli cells using nonlinear sampling. Nature Protocols. 5(6). 1051–1060. 36 indexed citations
15.
Coutandin, Daniel, Frank Löhr, F. Niesen, et al.. (2009). Conformational stability and activity of p73 require a second helix in the tetramerization domain. Cell Death and Differentiation. 16(12). 1582–1589. 53 indexed citations
16.
Takeda, Mitsuhiro, Takuya Torizawa, Tsutomu Terauchi, et al.. (2008). Structure of the putative 32 kDa myrosinase‐binding protein from Arabidopsis (At3g16450.1) determined by SAIL‐NMR. FEBS Journal. 275(23). 5873–5884. 20 indexed citations
17.
Takeda, Mitsuhiro, Teppei Ikeya, Peter Güntert, & Masatsune Kainosho. (2007). Automated structure determination of proteins with the SAIL-FLYA NMR method. Nature Protocols. 2(11). 2896–2902. 37 indexed citations
18.
Otsuka, Hidenori, Teppei Ikeya, Teruo Okano, & Kazunori Kataoka. (2006). Activation of lymphocyte proliferation by boronate-containing polymer immobilised on substrate: The effect of boron content on lymphocyte proliferation. European Cells and Materials. 12. 36–43. 17 indexed citations
19.
20.
Isogai, Yasuhiro, Yutaka Ito, Teppei Ikeya, Yoshitsugu Shiro, & Motonori Ota. (2005). Design of λ Cro Fold: Solution Structure of a Monomeric Variant of the De Novo Protein. Journal of Molecular Biology. 354(4). 801–814. 10 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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