Daisuke Ishikawa

2.3k total citations
97 papers, 1.9k citations indexed

About

Daisuke Ishikawa is a scholar working on Molecular Biology, Oncology and Materials Chemistry. According to data from OpenAlex, Daisuke Ishikawa has authored 97 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 19 papers in Oncology and 16 papers in Materials Chemistry. Recurrent topics in Daisuke Ishikawa's work include Molecular Junctions and Nanostructures (7 papers), Lung Cancer Treatments and Mutations (7 papers) and Topic Modeling (6 papers). Daisuke Ishikawa is often cited by papers focused on Molecular Junctions and Nanostructures (7 papers), Lung Cancer Treatments and Mutations (7 papers) and Topic Modeling (6 papers). Daisuke Ishikawa collaborates with scholars based in Japan, United States and United Kingdom. Daisuke Ishikawa's co-authors include Katsuhiko Ariga, Jonathan P. Hill, Jan Labuta, Shinsuke Ishihara, Kosuke Minami, Wim Van Rossom, Mina Han, Masahiko Hara, Tadaaki Yamada and Seiji Yano and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and The Journal of Immunology.

In The Last Decade

Daisuke Ishikawa

89 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Ishikawa Japan 24 561 510 323 295 210 97 1.9k
Amber M. Johnson United States 20 471 0.8× 311 0.6× 236 0.7× 373 1.3× 109 0.5× 44 1.6k
Xiaoqing Guo China 30 944 1.7× 469 0.9× 111 0.3× 460 1.6× 204 1.0× 111 3.0k
Ji Won Lee South Korea 24 534 1.0× 356 0.7× 148 0.5× 312 1.1× 249 1.2× 174 2.2k
Masahiro Muraoka Japan 15 702 1.3× 285 0.6× 99 0.3× 602 2.0× 119 0.6× 62 1.9k
Hiroshi Kawabata Japan 34 1.3k 2.3× 523 1.0× 293 0.9× 880 3.0× 366 1.7× 241 5.7k
Dicle Güç Türkiye 22 338 0.6× 782 1.5× 278 0.9× 326 1.1× 157 0.7× 50 1.9k
Kouji Iida Japan 27 1.4k 2.4× 274 0.5× 191 0.6× 404 1.4× 213 1.0× 112 2.6k
Lili Zhao China 29 1.1k 2.0× 523 1.0× 209 0.6× 269 0.9× 185 0.9× 123 2.7k
Michael E. Hahn United States 20 585 1.0× 322 0.6× 252 0.8× 331 1.1× 38 0.2× 51 1.9k
Yong Weon Yi South Korea 28 1.6k 2.8× 268 0.5× 188 0.6× 510 1.7× 68 0.3× 63 2.7k

Countries citing papers authored by Daisuke Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Ishikawa. A scholar is included among the top collaborators of Daisuke Ishikawa 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 Daisuke Ishikawa. Daisuke Ishikawa 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.
Ishikawa, Daisuke, et al.. (2025). Differential clearance rate of proteins encoded on a self-amplifying mRNA COVID-19 vaccine in muscle and lymph nodes. Biochemistry and Biophysics Reports. 42. 101999–101999. 1 indexed citations
2.
Ikeda, Osamu, Tatsuya Sakamaki, Takaya Mitsui, et al.. (2025). The magnetism and elasticity of ϵ-FeOOH across the pressure-induced electronic spin transition. High Pressure Research. 45(2). 109–123.
3.
Sato, Yusuke, et al.. (2024). DNA‐Origami‐Armored DNA Condensates. ChemBioChem. 25(20). e202400468–e202400468. 2 indexed citations
4.
Shinohara, Yuya, Takuya Iwashita, Masahiro Nakanishi, et al.. (2024). Real-space local self-motion of protonated and deuterated water. Physical review. E. 109(6). 64608–64608. 1 indexed citations
6.
Koyama, K., Satoru Miura, Satoshi Watanabe, et al.. (2022). Observational study of rebiopsy in EGFR-TKI-resistant patients with EGFR mutation-positive advanced NSCLC. Scientific Reports. 12(1). 6367–6367. 7 indexed citations
7.
Okuno, Masanari, Daisuke Ishikawa, Waka Nakanishi, Katsuhiko Ariga, & Taka‐aki Ishibashi. (2021). Correction to “Symmetric Raman Tensor Contributes to Chiral Vibrational Sum Frequency Generation from Binaphthyl Amphiphile Monolayers on Water: Study of Electronic Resonance Amplitude and Phase Profiles”. The Journal of Physical Chemistry C. 125(45). 25356–25356. 1 indexed citations
8.
Okuno, Masanari, Daisuke Ishikawa, Waka Nakanishi, Katsuhiko Ariga, & Taka‐aki Ishibashi. (2017). Symmetric Raman Tensor Contributes to Chiral Vibrational Sum-Frequency Generation from Binaphthyl Amphiphile Monolayers on Water: Study of Electronic Resonance Amplitude and Phase Profiles. The Journal of Physical Chemistry C. 121(21). 11241–11250. 14 indexed citations
9.
Utsunomiya, Setsuo, et al.. (2017). A case of liver metastases with hyperbilirubinemia that was safely treated with chemotherapy (FOLFOX plus Cetuximab). Annals of Oncology. 28. ix105–ix105. 2 indexed citations
10.
Poulter, Natalie S., Alice Y. Pollitt, Dylan M. Owen, et al.. (2017). Clustering of glycoprotein VI (GPVI) dimers upon adhesion to collagen as a mechanism to regulate GPVI signaling in platelets. Journal of Thrombosis and Haemostasis. 15(3). 549–564. 90 indexed citations
11.
Sato, Ko, Satoshi Watanabe, Satoshi Shoji, et al.. (2016). Nephrotoxicity of cisplatin combination chemotherapy in thoracic malignancy patients with CKD risk factors. BMC Cancer. 16(1). 222–222. 43 indexed citations
12.
Nakagawa, Takayuki, Shinji Takeuchi, Tadaaki Yamada, et al.. (2013). EGFR-TKI Resistance Due to BIM Polymorphism Can Be Circumvented in Combination with HDAC Inhibition. Cancer Research. 73(8). 2428–2434. 136 indexed citations
13.
Nakagawa, Takayuki, Shinji Takeuchi, Tadaaki Yamada, et al.. (2012). Combined Therapy with Mutant-Selective EGFR Inhibitor and Met Kinase Inhibitor for Overcoming Erlotinib Resistance in EGFR -Mutant Lung Cancer. Molecular Cancer Therapeutics. 11(10). 2149–2157. 74 indexed citations
14.
Ishikawa, Daisuke, et al.. (2011). Automatic Prediction of High-Quality Answers in Community QA. Joho Chishiki Gakkaishi. 21(3). 362–382.
15.
Ishikawa, Daisuke, Masaki Matsumoto, Keiichi I. Nakayama, et al.. (2011). Proteome of ubiquitin/MVB pathway: possible involvement of iron-induced ubiquitylation of transferrin receptor in lysosomal degradation. Genes to Cells. 16(4). 448–466. 30 indexed citations
16.
Ishikawa, Daisuke. (2010). ASURA: A Best-Answer Estimation System for NTCIR-8 CQA Pilot Task.. NTCIR. 466–470.
17.
Ishikawa, Daisuke, Tetsuya Sakai, & Noriko Kando. (2010). Overview of the NTCIR-8 Community QA Pilot Task (Part I): The Test Collection and the Task.. NTCIR. 421–432. 11 indexed citations
18.
Ishikawa, Daisuke, et al.. (2010). Analysis of Best-Answer Estimation for a Q&A Site and its Application to Machine Learning. Joho Chishiki Gakkaishi. 20(2). 73–85. 1 indexed citations
19.
Ando, Takafumi, Yuji Nishio, Osamu Watanabe, et al.. (2008). Value of colonoscopy for prediction of prognosis in patients with ulcerative colitis. World Journal of Gastroenterology. 14(14). 2133–2133. 11 indexed citations
20.
Maruyama, Masahiro, et al.. (2006). Proposal from Pharmacists on Cancer Pain Treatment and Questions from Physicians Regarding the Proposal. Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences). 32(12). 1222–1227. 1 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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