Yasuyuki Asai

2.2k total citations
98 papers, 1.8k citations indexed

About

Yasuyuki Asai is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Yasuyuki Asai has authored 98 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 21 papers in Immunology and 20 papers in Organic Chemistry. Recurrent topics in Yasuyuki Asai's work include Lipid Membrane Structure and Behavior (25 papers), Immune Response and Inflammation (20 papers) and Surfactants and Colloidal Systems (15 papers). Yasuyuki Asai is often cited by papers focused on Lipid Membrane Structure and Behavior (25 papers), Immune Response and Inflammation (20 papers) and Surfactants and Colloidal Systems (15 papers). Yasuyuki Asai collaborates with scholars based in Japan, United States and China. Yasuyuki Asai's co-authors include Tomohiko Ogawa, Masahito Hashimoto, Yutaka Makimura, Riyoko Tamai, Kenji Yasuda, Hiromi Sakamoto, Takuya Ogawa, Norio Nakatsuji, Tomomi G. Otsuji and Sumio Watanabe and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Yasuyuki Asai

90 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
Yasuyuki Asai Japan 25 683 558 500 215 195 98 1.8k
M. Rangarajan United Kingdom 28 921 1.3× 320 0.6× 1.4k 2.7× 664 3.1× 396 2.0× 65 2.4k
Andrzej Kozik Poland 28 764 1.1× 393 0.7× 228 0.5× 121 0.6× 240 1.2× 111 2.5k
Maria Rąpała‐Kozik Poland 31 752 1.1× 517 0.9× 289 0.6× 129 0.6× 283 1.5× 97 2.5k
L. Vincent Collins Sweden 16 1.1k 1.6× 852 1.5× 98 0.2× 139 0.6× 489 2.5× 30 2.2k
Jun Ho Jeon South Korea 23 794 1.2× 296 0.5× 180 0.4× 98 0.5× 57 0.3× 58 1.7k
S Kotani Japan 31 869 1.3× 1.2k 2.1× 248 0.5× 355 1.7× 484 2.5× 113 2.5k
Mitsuo Hayakawa Japan 19 551 0.8× 238 0.4× 803 1.6× 402 1.9× 152 0.8× 74 1.4k
Mark Cunningham United States 20 398 0.6× 520 0.9× 144 0.3× 66 0.3× 233 1.2× 29 1.3k
A. Nowotny United States 22 420 0.6× 609 1.1× 309 0.6× 111 0.5× 230 1.2× 77 1.4k
Zhiqiang Qin United States 30 1.7k 2.5× 399 0.7× 127 0.3× 123 0.6× 197 1.0× 110 2.9k

Countries citing papers authored by Yasuyuki Asai

Since Specialization
Citations

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

Fields of papers citing papers by Yasuyuki Asai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuyuki Asai

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuyuki Asai. A scholar is included among the top collaborators of Yasuyuki Asai 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 Yasuyuki Asai. Yasuyuki Asai 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.
Watanabe, Hiroaki, et al.. (2018). Incidence of Acute Suppurative Sialadenitis in End-Stage Cancer Patients: A Retrospective Observational Study. Journal of Pain and Symptom Management. 55(6). 1546–1549.
2.
Kihara, Rika, et al.. (2018). Effect of Speciallist Palliative Care Service on End-of Life Care in Patients with Hematologic Malignancies. Blood. 132(Supplement 1). 2242–2242. 1 indexed citations
3.
Ishigure, Kiyoshi, et al.. (2014). Clinical benefits of bevacizumab in metastatic colorectal cancer depending on KRAS status.. Journal of Clinical Oncology. 32(3_suppl). 636–636. 1 indexed citations
4.
5.
Asai, Yasuyuki, Yutaka Makimura, Atsushi Kawabata, & Tomohiko Ogawa. (2007). Soluble CD14 Discriminates Slight Structural Differences between Lipid As That Lead to Distinct Host Cell Activation. The Journal of Immunology. 179(11). 7674–7683. 28 indexed citations
6.
Asai, Yasuyuki, et al.. (2005). Genetic variation of a fimbrial protein from Porphyromonas gingivalis and its distribution in patients with periodontal diseases. Microbiological Research. 160(3). 257–263. 4 indexed citations
7.
Tamai, Riyoko, Yasuyuki Asai, & Tomohiko Ogawa. (2005). Requirement for Intercellular Adhesion Molecule 1 and Caveolae in Invasion of Human Oral Epithelial Cells by Porphyromonas gingivalis. Infection and Immunity. 73(10). 6290–6298. 48 indexed citations
8.
Uchiyama, Kazuhiko, Kazunori Ida, Junichi Okuda, et al.. (2004). Correlations of hemoglobin index (IHb) of gastric mucosa with Helicobacter pylori (H. pylori) infection and inflammation of gastric mucosa. Scandinavian Journal of Gastroenterology. 39(11). 1054–1060. 24 indexed citations
9.
10.
Asai, Yasuyuki. (2003). Formation of the dispersed particles composed of retinol and phosphatidylchiline. International Journal of Pharmaceutics. 253(1-2). 89–95. 2 indexed citations
11.
Ogawa, Tomohiko, Yasuyuki Asai, Masahito Hashimoto, & Hiroshi Uchida. (2002). Bacterial fimbriae activate human peripheral blood monocytes utilizing TLR2, CD14 and CD11a/CD18 as cellular receptors. European Journal of Immunology. 32(9). 2543–2550. 83 indexed citations
12.
Asai, Yasuyuki, et al.. (2000). Formation and stability of the dispersed particles composed of retinoic acid, sesame oil and phosphatidylcholine. International Journal of Pharmaceutics. 193(2). 189–196. 2 indexed citations
13.
Asai, Yasuyuki & Sumio Watanabe. (2000). Comparison of the Effect of Lipid A Analog E5531 and the Lipid A fromEscherichia colion Phospholipid Membrane Properties. Drug Development and Industrial Pharmacy. 26(2). 199–204.
14.
Asai, Yasuyuki, et al.. (2000). Formation of Spherical Micelles by the Novel Platelet Activating Factor Receptor Antagonist, E5880.. Chemical and Pharmaceutical Bulletin. 48(7). 947–950. 4 indexed citations
15.
Asai, Yasuyuki, MAKI NISHIO, Hideaki Shima, et al.. (1999). TMC-66, a New Endothelin Converting Enzyme Inhibitor Produced by Streptomyces sp. A5008.. The Journal of Antibiotics. 52(7). 607–612. 14 indexed citations
16.
Asai, Yasuyuki & Shinya Watanabe. (1999). Effect of Divalent Cations on the Membrane Properties of the Lipid A Analog E5531. Drug Development and Industrial Pharmacy. 25(10). 1107–1113. 2 indexed citations
17.
18.
Asai, Yasuyuki, MAKI NISHIO, Kimio Okamura, et al.. (1997). TMC-2A, -2B and -2C, New Dipeptidyl Peptidase IV Inhibitors Produced by Aspergillus oryzae A374. II. Isolation and Structure Determination.. The Journal of Antibiotics. 50(8). 653–658. 14 indexed citations
19.
Yamamoto, Izumi, et al.. (1994). Effects of ?-tocopherol and its acetate on the hydrolytic activity of phospholipase D in egg yolk phosphatidylcholine bilayers. Colloid & Polymer Science. 272(5). 598–603. 11 indexed citations
20.
Hatayama, Takumi, et al.. (1993). Regulation of hsp70 induction in thermotolerant HeLa cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1179(2). 109–116. 5 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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