Kaori Sugihara

2.1k total citations
56 papers, 1.7k citations indexed

About

Kaori Sugihara is a scholar working on Molecular Biology, Organic Chemistry and Microbiology. According to data from OpenAlex, Kaori Sugihara has authored 56 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Organic Chemistry and 13 papers in Microbiology. Recurrent topics in Kaori Sugihara's work include Polydiacetylene-based materials and applications (15 papers), Lipid Membrane Structure and Behavior (14 papers) and Antimicrobial Peptides and Activities (13 papers). Kaori Sugihara is often cited by papers focused on Polydiacetylene-based materials and applications (15 papers), Lipid Membrane Structure and Behavior (14 papers) and Antimicrobial Peptides and Activities (13 papers). Kaori Sugihara collaborates with scholars based in Switzerland, Japan and United States. Kaori Sugihara's co-authors include János Vörös, Tomaso Zambelli, Marcy Zenobi‐Wong, Stefan Matile, Naomi Sakai, Hirofumi Tachibana, Roberto D. Ortuso, Shuntaro Tsukamoto, Marta Bally and Dorothee Grieshaber and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Investigation and Nano Letters.

In The Last Decade

Kaori Sugihara

53 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaori Sugihara Switzerland 20 566 436 397 187 181 56 1.7k
Tsutomu Hamada Japan 30 1.6k 2.9× 615 1.4× 305 0.8× 50 0.3× 212 1.2× 97 3.0k
J. L. Ross Anderson United Kingdom 26 1.4k 2.5× 225 0.5× 222 0.6× 18 0.1× 46 0.3× 68 2.6k
Jun Zhao China 26 730 1.3× 401 0.9× 113 0.3× 14 0.1× 82 0.5× 101 2.3k
Alfonso Blázquez‐Castro Spain 22 633 1.1× 682 1.6× 179 0.5× 18 0.1× 25 0.1× 45 2.2k
Abhijit Saha India 19 494 0.9× 152 0.3× 164 0.4× 14 0.1× 13 0.1× 59 1.0k
Laura Cantù Italy 34 2.3k 4.0× 426 1.0× 929 2.3× 35 0.2× 18 0.1× 123 3.8k
Zheng Shi United States 23 931 1.6× 219 0.5× 310 0.8× 13 0.1× 36 0.2× 53 1.8k
Jirasak Wong-ekkabut Thailand 19 1.0k 1.8× 345 0.8× 362 0.9× 18 0.1× 10 0.1× 48 2.0k
Rajaram Swaminathan India 22 1.4k 2.5× 298 0.7× 118 0.3× 17 0.1× 20 0.1× 52 2.4k
Zhendong Zhu China 31 626 1.1× 193 0.4× 673 1.7× 107 0.6× 56 0.3× 115 2.7k

Countries citing papers authored by Kaori Sugihara

Since Specialization
Citations

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

Fields of papers citing papers by Kaori Sugihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaori Sugihara

This figure shows the co-authorship network connecting the top 25 collaborators of Kaori Sugihara. A scholar is included among the top collaborators of Kaori Sugihara 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 Kaori Sugihara. Kaori Sugihara 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.
Cabral, Horacio, et al.. (2025). A QCM-Based Biosensor to Detect HIT-like Antibodies: Differentiating KKO from RTO via FcγRIIA Interactions. Analytical Chemistry. 97(31). 16851–16858.
2.
Matsuhisa, Naoji, et al.. (2024). Mechanochromic Chameleon Packaging Based on Polydiacetylene. ACS Sensors. 9(12). 6844–6851. 1 indexed citations
3.
Sugihara, Kaori, et al.. (2024). Dual Friction Force/Fluorescence Microscopy. Analytical Chemistry. 96(3). 949–956. 3 indexed citations
4.
Chen, Jiali, et al.. (2023). Colorimetric response in polydiacetylene at the single domain level using hyperspectral microscopy. Chemical Communications. 59(25). 3743–3746. 8 indexed citations
5.
Sugihara, Kaori, et al.. (2023). Development of a desktop mask charger. Heliyon. 9(4). e15359–e15359. 1 indexed citations
6.
Sugihara, Kaori, et al.. (2023). Role of Lipid Composition in the Antimicrobial Peptide Double Cooperative Effect. Langmuir. 39(24). 8441–8449. 2 indexed citations
7.
Yagi, Shunsuke, et al.. (2023). Nanoscopic Force Sensitivity of Polydiacetylene 2D Layered Composites with Guest Molecules. Advanced Materials Interfaces. 11(2). 9 indexed citations
8.
Zahn, Dietrich R. T., et al.. (2021). Lipid nanotubes as an organic template for the fabrication of carbon nanostructures by pyrolysis. Nanoscale. 13(14). 6927–6933. 2 indexed citations
9.
Sugihara, Kaori, et al.. (2020). Cooperative Function of LL-37 and HNP1 Protects Mammalian Cell Membranes from Lysis. Biophysical Journal. 119(12). 2440–2450. 14 indexed citations
10.
Ortuso, Roberto D., et al.. (2019). The deconvolution analysis of ATR-FTIR spectra of diacetylene during UV exposure. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 219. 23–32. 20 indexed citations
11.
Huang, Yuhui, Motofumi Kumazoe, Kaori Sugihara, et al.. (2017). Oligomer formation of a tea polyphenol, EGCG, on its sensing molecule 67 kDa laminin receptor. Chemical Communications. 53(12). 1941–1944. 17 indexed citations
12.
Kumazoe, Motofumi, Kaori Sugihara, Shuntaro Tsukamoto, et al.. (2013). 67-kDa laminin receptor increases cGMP to induce cancer-selective apoptosis. Journal of Clinical Investigation. 123(2). 787–99. 142 indexed citations
13.
Kumazoe, Motofumi, Yoonhee Kim, Jae‐Hoon Bae, et al.. (2013). Phosphodiesterase 5 inhibitor acts as a potent agent sensitizing acute myeloid leukemia cells to 67‐kDa laminin receptor‐dependent apoptosis. FEBS Letters. 587(18). 3052–3057. 37 indexed citations
14.
Sugihara, Kaori, Justine Kusch, Dimos Poulikakos, et al.. (2012). Label-free detection of cell-contractile activity with lipid nanotubes. Integrative Biology. 5(2). 423–430. 6 indexed citations
15.
Fujimura, Yoshinori, et al.. (2012). Green Tea Polyphenol EGCG Sensing Motif on the 67-kDa Laminin Receptor. PLoS ONE. 7(5). e37942–e37942. 73 indexed citations
16.
Sugihara, Kaori, Janick D. Stucki, Lucio Isa, János Vörös, & Tomaso Zambelli. (2012). Electrically induced lipid migration in non-lamellar phase. Journal of Colloid and Interface Science. 386(1). 421–427. 2 indexed citations
17.
Dahlin, Andreas, Bernd Dielacher, Kaori Sugihara, et al.. (2011). Electrochemical plasmonic sensors. Analytical and Bioanalytical Chemistry. 402(5). 1773–1784. 61 indexed citations
18.
Sugihara, Kaori, et al.. (2011). Techniques for recording reconstituted ion channels. The Analyst. 136(6). 1077–1077. 42 indexed citations
19.
Bally, Marta, Kelly Bailey, Kaori Sugihara, et al.. (2010). Liposome and Lipid Bilayer Arrays Towards Biosensing Applications. Small. 6(22). 2481–2497. 176 indexed citations
20.
Sugihara, Kaori, János Vörös, & Tomaso Zambelli. (2010). A Gigaseal Obtained with a Self-Assembled Long-Lifetime Lipid Bilayer on a Single Polyelectrolyte Multilayer-Filled Nanopore. ACS Nano. 4(9). 5047–5054. 31 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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