Yasuhiro Sugamata

702 total citations
8 papers, 583 citations indexed

About

Yasuhiro Sugamata is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Yasuhiro Sugamata has authored 8 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Oncology. Recurrent topics in Yasuhiro Sugamata's work include NF-κB Signaling Pathways (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Dermatological and Skeletal Disorders (1 paper). Yasuhiro Sugamata is often cited by papers focused on NF-κB Signaling Pathways (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Dermatological and Skeletal Disorders (1 paper). Yasuhiro Sugamata collaborates with scholars based in Japan. Yasuhiro Sugamata's co-authors include Tomoyasu Isobe, Teppei Nishikawa, Keisuke Hagihara, Kazuyuki Yoshizaki, Jian Song, Toshihiko Ohtomo, Masayuki Tsuchiya, Koichiro Ono, Tetsuya Taga and Jian Song and has published in prestigious journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Yasuhiro Sugamata

8 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasuhiro Sugamata Japan 8 264 178 111 108 79 8 583
Bruno Dumont France 15 378 1.4× 91 0.5× 134 1.2× 230 2.1× 103 1.3× 20 834
Paul T. Wille United States 8 239 0.9× 250 1.4× 242 2.2× 238 2.2× 71 0.9× 9 823
Naoki Ikeda Japan 17 332 1.3× 234 1.3× 194 1.7× 174 1.6× 120 1.5× 66 942
Naotaka Shibagaki Japan 16 362 1.4× 372 2.1× 278 2.5× 109 1.0× 52 0.7× 42 920
Arnaud Dupuy d’Angeac France 11 251 1.0× 410 2.3× 169 1.5× 85 0.8× 64 0.8× 28 886
Suzanne Skoda‐Smith United States 13 394 1.5× 579 3.3× 137 1.2× 167 1.5× 73 0.9× 26 1.0k
Eugene Dempsey Ireland 15 318 1.2× 163 0.9× 79 0.7× 140 1.3× 119 1.5× 24 686
Takeshi Otani Japan 15 316 1.2× 411 2.3× 180 1.6× 65 0.6× 61 0.8× 48 889
Anna Zhou United States 9 378 1.4× 248 1.4× 159 1.4× 82 0.8× 42 0.5× 26 873
Xiaolan Fu China 17 361 1.4× 434 2.4× 200 1.8× 156 1.4× 219 2.8× 43 947

Countries citing papers authored by Yasuhiro Sugamata

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Sugamata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiro Sugamata

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

All Works

8 of 8 papers shown
1.
Sugamata, Yasuhiro, Tsuyoshi Tanaka, Tadashi Matsunaga, & Tomoko Yoshino. (2014). Functional expression of an scFv on bacterial magnetic particles by in vitro docking. Biochemical and Biophysical Research Communications. 445(1). 1–5. 7 indexed citations
2.
Sugamata, Yasuhiro, et al.. (2013). Functional Expression of Thyroid-Stimulating Hormone Receptor on Nano-Sized Bacterial Magnetic Particles in Magnetospirillum magneticum AMB-1. International Journal of Molecular Sciences. 14(7). 14426–14438. 10 indexed citations
3.
4.
Hagihara, Keisuke, Teppei Nishikawa, Yasuhiro Sugamata, et al.. (2005). Essential role of STAT3 in cytokine‐driven NF‐κB‐mediated serum amyloid A gene expression. Genes to Cells. 10(11). 1051–1063. 134 indexed citations
5.
Sugamata, Yasuhiro & Toshikazu Shiba. (2005). Improved Secretory Production of Recombinant Proteins by Random Mutagenesis of hlyB , an Alpha-Hemolysin Transporter from Escherichia coli. Applied and Environmental Microbiology. 71(2). 656–662. 25 indexed citations
6.
Hagihara, Keisuke, Teppei Nishikawa, Tomoyasu Isobe, et al.. (2004). IL-6 plays a critical role in the synergistic induction of human serum amyloid A (SAA) gene when stimulated with proinflammatory cytokines as analyzed with an SAA isoform real-time quantitative RT-PCR assay system. Biochemical and Biophysical Research Communications. 314(2). 363–369. 145 indexed citations
7.
Ono, Koichiro, Toshihiko Ohtomo, Shigeo Sato, et al.. (2001). An Evolutionarily Conserved Motif in the TAB1 C-terminal Region Is Necessary for Interaction with and Activation of TAK1 MAPKKK. Journal of Biological Chemistry. 276(26). 24396–24400. 58 indexed citations
8.
Ohtomo, Toshihiko, Yasuhiro Sugamata, Koichiro Ono, et al.. (1999). Molecular Cloning and Characterization of a Surface Antigen Preferentially Overexpressed on Multiple Myeloma Cells. Biochemical and Biophysical Research Communications. 258(3). 583–591. 174 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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