Rika Ishikawa

443 total citations
22 papers, 341 citations indexed

About

Rika Ishikawa is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Rika Ishikawa has authored 22 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Immunology and 3 papers in Hematology. Recurrent topics in Rika Ishikawa's work include Biosimilars and Bioanalytical Methods (5 papers), Protein purification and stability (4 papers) and Fibroblast Growth Factor Research (3 papers). Rika Ishikawa is often cited by papers focused on Biosimilars and Bioanalytical Methods (5 papers), Protein purification and stability (4 papers) and Fibroblast Growth Factor Research (3 papers). Rika Ishikawa collaborates with scholars based in Japan and United States. Rika Ishikawa's co-authors include Satoru Kamoda, Kazuaki Kakehi, Koji Nishikori, Shoei Furukawa, Miyako Nakano, Shigeo Suzuki, Nancy J. Bigley, Mitsuhiro Kinoshita, Yukihiro Ozaki and Rafael E. Curiel and has published in prestigious journals such as Journal of Neurochemistry, Journal of Chromatography A and Journal of Materials Science.

In The Last Decade

Rika Ishikawa

22 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rika Ishikawa Japan 10 244 96 73 57 48 22 341
Christopher K. Gee United Kingdom 9 220 0.9× 69 0.7× 25 0.3× 98 1.7× 18 0.4× 10 391
Jonas Hansen Denmark 12 351 1.4× 59 0.6× 39 0.5× 27 0.5× 21 0.4× 17 474
Boris Ballmer Switzerland 8 242 1.0× 25 0.3× 16 0.2× 76 1.3× 11 0.2× 9 409
Jaesoo Jung Canada 11 258 1.1× 30 0.3× 106 1.5× 148 2.6× 28 0.6× 16 375
Masao Hirota Japan 9 315 1.3× 27 0.3× 10 0.1× 76 1.3× 8 0.2× 22 473
Sheila Ulufatu United States 10 189 0.8× 223 2.3× 15 0.2× 50 0.9× 7 0.1× 15 451
Maria Grazia Ciampa Italy 12 295 1.2× 15 0.2× 27 0.4× 35 0.6× 8 0.2× 26 448
Simon J. Middendorp Switzerland 9 216 0.9× 49 0.5× 70 1.0× 24 0.4× 6 0.1× 9 431
Ulrike Leurs Denmark 11 229 0.9× 30 0.3× 37 0.5× 16 0.3× 65 1.4× 20 318
Katarína Štroffeková Slovakia 12 267 1.1× 36 0.4× 53 0.7× 12 0.2× 15 0.3× 23 422

Countries citing papers authored by Rika Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Rika Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rika Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Rika Ishikawa. A scholar is included among the top collaborators of Rika 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 Rika Ishikawa. Rika 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.
Saito, Kosuke, Koji Y. Arai, Hitoshi UCHIYAMA, et al.. (2024). Interlaboratory Evaluation of LC–MS-Based Biomarker Assays. Bioanalysis. 16(6). 389–402. 1 indexed citations
2.
Ishikawa, Rika, Kosuke Saito, Takashi Misawa, Yosuke Demizu, & Yoshiro Saito. (2023). Identification of the Stapled α-Helical Peptide ATSP-7041 as a Substrate and Strong Inhibitor of OATP1B1 In Vitro. Biomolecules. 13(6). 1002–1002. 2 indexed citations
3.
Ishikawa, Rika, Kosuke Saito, Koji Y. Arai, et al.. (2023). Multi-Laboratory Evaluation of Immunoaffinity LC–MS-Based Glucagon-Like Peptide-1 Assay. Bioanalysis. 15(4). 207–218. 1 indexed citations
4.
Saito, Kosuke, Rika Ishikawa, Noriaki Arakawa, et al.. (2022). Characterization of serotonin as a candidate biomarker of severity and prognosis of COVID-19 using LC/MS analysis. Journal of Pharmacological Sciences. 150(2). 49–55. 5 indexed citations
5.
Ishikawa, Rika, Kosuke Saito, Tsuyoshi Matsumura, et al.. (2021). A Multilaboratory Validation Study of Lc/Ms Biomarker Assays for Three Lysophosphatidylcholines. Bioanalysis. 13(20). 1533–1546. 2 indexed citations
6.
Yanagihara, Shigehiro, et al.. (2010). Measurement of Sialic Acid Content Is Insufficient to Assess Bioactivity of Recombinant Human Erythropoietin. Biological and Pharmaceutical Bulletin. 33(9). 1596–1599. 11 indexed citations
7.
8.
Ishikawa, Rika, et al.. (2006). Methanol-Induced Tertiary and Secondary Structure Changes of Granulocyte-Colony Stimulating Factor. The Journal of Biochemistry. 140(1). 49–56. 10 indexed citations
9.
Kamoda, Satoru, Rika Ishikawa, & Kazuaki Kakehi. (2006). Capillary electrophoresis with laser-induced fluorescence detection for detailed studies on N-linked oligosaccharide profile of therapeutic recombinant monoclonal antibodies. Journal of Chromatography A. 1133(1-2). 332–339. 89 indexed citations
10.
Ishikawa, Rika, et al.. (2006). Effects of Ionic Strength on the Thermal Unfolding Process of Granulocyte-Colony Stimulating Factor. The Journal of Biochemistry. 139(1). 41–49. 4 indexed citations
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13.
Kamoda, Satoru, Miyako Nakano, Rika Ishikawa, Shigeo Suzuki, & Kazuaki Kakehi. (2005). Rapid and Sensitive Screening of N-Glycans as 9-Fluorenylmethyl Derivatives by High-Performance Liquid Chromatography:  A Method Which Can Recover Free Oligosaccharides after Analysis. Journal of Proteome Research. 4(1). 146–152. 67 indexed citations
14.
Nishi, Nobusuke, Masatake Osawa, Rika Ishikawa, et al.. (1995). Hematopoietic stem cells found in lineage‐positive subsets in the bone marrow of 5‐fluorouracil‐treated mice. Stem Cells. 13(5). 517–523. 5 indexed citations
15.
Curiel, Rafael E., et al.. (1993). Does the Gender Difference in Interferon Production Seen in Picornavirus-Infected Spleen Cell Cultures from ICR Swiss Mice Have Any In Vivo Significance?. Journal of Interferon Research. 13(6). 387–395. 16 indexed citations
16.
Okada, Yuji, et al.. (1993). Protein tailoring of human granulocyte colony-stimulating factor. Biotechnology Letters. 15(7). 673–678. 3 indexed citations
17.
Ishikawa, Rika, Koji Nishikori, Yoshiko Furukawa, Kyozo Hayashi, & Shoei Furukawa. (1992). Injury-induced reduction of acidic fibroblast growth factor levels in the distal parts of rat sciatic nerve. Neuroscience Letters. 135(1). 113–116. 16 indexed citations
18.
Ishikawa, Rika, Koji Nishikori, & Shoei Furukawa. (1991). Appearance of nerve growth factor and acidic fibroblast growth factor with different time courses in the cavity-lesioned cortex of the rat brain. Neuroscience Letters. 127(1). 70–72. 32 indexed citations
19.
Ishikawa, Rika, Koji Nishikori, & Shoei Furukawa. (1991). Developmental Changes in Distribution of Acidic Fibroblast Growth Factor in Rat Brain Evaluated by a Sensitive Two‐Site Enzyme Immunoassay. Journal of Neurochemistry. 56(3). 836–841. 9 indexed citations
20.
Ishikawa, Rika & Nancy J. Bigley. (1990). Sex Hormone Modulation of Interferon (IFN) α/β and γ Production by Mouse Spleen Cell Subsets Following Picornavirus Infection. Viral Immunology. 3(3). 225–236. 11 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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