Junya Ishikawa

424 total citations
35 papers, 331 citations indexed

About

Junya Ishikawa is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Junya Ishikawa has authored 35 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Junya Ishikawa's work include RNA and protein synthesis mechanisms (8 papers), Effects of Radiation Exposure (5 papers) and Chemical Synthesis and Analysis (4 papers). Junya Ishikawa is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), Effects of Radiation Exposure (5 papers) and Chemical Synthesis and Analysis (4 papers). Junya Ishikawa collaborates with scholars based in Japan, Australia and United States. Junya Ishikawa's co-authors include Yoshiya Ikawa, Hiroyuki Furuta, Fumiaki Nakatsubo, Hiroshi Kamitakahara, Toshiyuki Takano, Ikuo Kashiwakura, Hideaki Yoshino, Yuki Fujita, Hirofumi Teshima and A Hiraoka and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Junya Ishikawa

31 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junya Ishikawa Japan 10 169 41 40 40 33 35 331
Jia Hao Yeo Australia 12 137 0.8× 24 0.6× 14 0.3× 41 1.0× 13 0.4× 22 353
Bindu Abraham United States 11 219 1.3× 47 1.1× 13 0.3× 17 0.4× 10 0.3× 15 448
John Desjardins United States 11 159 0.9× 11 0.3× 72 1.8× 9 0.2× 15 0.5× 13 304
Feliciana Real‐Fernández Italy 13 242 1.4× 57 1.4× 23 0.6× 23 0.6× 119 3.6× 46 419
Joshua Buse Canada 9 145 0.9× 25 0.6× 13 0.3× 18 0.5× 8 0.2× 13 333
Hui Fan China 9 171 1.0× 51 1.2× 57 1.4× 6 0.1× 12 0.4× 21 371
Ji Hoon Yu China 11 126 0.7× 49 1.2× 49 1.2× 5 0.1× 8 0.2× 18 373
Victor Vai Tak Wong Singapore 12 194 1.1× 9 0.2× 21 0.5× 5 0.1× 27 0.8× 15 380
Aliakbar Taherian Iran 11 184 1.1× 16 0.4× 67 1.7× 8 0.2× 31 0.9× 21 436
Chetna Sharon United States 11 165 1.0× 31 0.8× 41 1.0× 7 0.2× 14 0.4× 16 382

Countries citing papers authored by Junya Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Junya Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junya Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Junya Ishikawa. A scholar is included among the top collaborators of Junya 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 Junya Ishikawa. Junya 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.
Kimura, Takuma, Hiroki Chiba, Kyoko Nomura, et al.. (2024). Communication between physicians, patients, their companions and other healthcare professionals in home medical care in Japan. Patient Education and Counseling. 123. 108239–108239. 1 indexed citations
2.
Sato, Yoshiaki, Hideaki Yoshino, Junya Ishikawa, et al.. (2023). Prediction of hub genes and key pathways associated with the radiation response of human hematopoietic stem/progenitor cells using integrated bioinformatics methods. Scientific Reports. 13(1). 10762–10762. 2 indexed citations
3.
Ichiba, Shingo, et al.. (2023). Chemotherapy‐induced leukopenic septic shock treated with veno‐arterial extracorporeal membrane oxygenation: A case report. SHILAP Revista de lepidopterología. 11(2). e6979–e6979. 2 indexed citations
4.
Sato, Nobuo, et al.. (2022). Validation of the patient State Index for monitoring sedation state in critically ill patients: a prospective observational study. Journal of Clinical Monitoring and Computing. 37(1). 147–154. 3 indexed citations
5.
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7.
Hirouchi, Tokuhisa, Koichi Ito, Manabu Nakano, et al.. (2015). Mitigative Effects of a Combination of Multiple Pharmaceutical Drugs on the Survival of Mice Exposed to Lethal Ionizing Radiation. Current Pharmaceutical Biotechnology. 17(2). 190–199. 24 indexed citations
8.
Yoshino, Hideaki, et al.. (2015). Effects of ionizing radiation on differentiation of murine bone marrow cells into mast cells. Journal of Radiation Research. 56(6). 865–871. 6 indexed citations
9.
Ishikawa, Junya, Naoki Hayashi, Masaru Yamaguchi, Satoru Monzen, & Ikuo Kashiwakura. (2015). Characteristics of human CD34+cells exposed to ionizing radiation under cytokine-free conditions. Journal of Radiation Research. 56(4). 678–690. 6 indexed citations
10.
Ishikawa, Junya, Hiroyuki Furuta, & Yoshiya Ikawa. (2013). An in vitro-selected RNA receptor for the GAAC loop: modular receptor for non–GNRA-type tetraloop. Nucleic Acids Research. 41(6). 3748–3759. 9 indexed citations
11.
12.
Ishikawa, Junya, et al.. (2012). Suppressive effects of liquid crystal compounds on the growth of U937 human leukemic monocyte lymphoma cells. Cancer Cell International. 12(1). 3–3. 4 indexed citations
13.
Ishikawa, Junya, et al.. (2010). ThetransDSL Ligase Ribozyme Can Utilize Various Forms of Modules to Clamp Its Substrate and Enzyme Units. Bioscience Biotechnology and Biochemistry. 74(4). 872–874. 2 indexed citations
14.
Ishikawa, Junya, et al.. (2010). GNRA/receptor interacting modules: Versatile modular units for natural and artificial RNA architectures. Methods. 54(2). 226–238. 26 indexed citations
15.
Ishikawa, Junya, Shigeyoshi Matsumura, Luc Jaeger, et al.. (2009). Rational optimization of the DSL ligase ribozyme with GNRA/receptor interacting modules. Archives of Biochemistry and Biophysics. 490(2). 163–170. 16 indexed citations
16.
Takano, Toshiyuki, Junya Ishikawa, Hiroshi Kamitakahara, & Fumiaki Nakatsubo. (2007). The application of microwave heating to the synthesis of 6-amino-6-deoxycellulose. Carbohydrate Research. 342(16). 2456–2460. 16 indexed citations
17.
Ishikawa, Junya, et al.. (2005). Facile synthesis of 6-amino-6-deoxycellulose. Carbohydrate Research. 340(7). 1403–1406. 45 indexed citations
18.
Morimura, Naoto, et al.. (2005). An analysis of spoken language expression during simulated emergency call triage. European Journal of Emergency Medicine. 12(2). 72–77. 5 indexed citations
19.
Kuroda, Yoshihiro, Yoshitaka Maeda, Junya Ishikawa, et al.. (2000). Interactions between Local Anesthetics and Na+ Channel Inactivation Gate Peptides in Phosphatidylserine Suspensions as Studied by 1H-NMR Spectroscopy.. Chemical and Pharmaceutical Bulletin. 48(9). 1293–1298. 12 indexed citations
20.
Teshima, Hirofumi, Junya Ishikawa, H Kitayama, et al.. (1989). Clinical effects of recombinant human granulocyte colony-stimulating factor in leukemia patients: a phase I/II study.. PubMed. 17(8). 853–8. 44 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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