Naoto Okada

1.4k total citations
63 papers, 863 citations indexed

About

Naoto Okada is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pharmacology. According to data from OpenAlex, Naoto Okada has authored 63 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 15 papers in Pulmonary and Respiratory Medicine and 9 papers in Pharmacology. Recurrent topics in Naoto Okada's work include Antibiotics Pharmacokinetics and Efficacy (6 papers), Lung Cancer Treatments and Mutations (6 papers) and Multiple Myeloma Research and Treatments (5 papers). Naoto Okada is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (6 papers), Lung Cancer Treatments and Mutations (6 papers) and Multiple Myeloma Research and Treatments (5 papers). Naoto Okada collaborates with scholars based in Japan and United Kingdom. Naoto Okada's co-authors include Keisuke Ishizawa, Yoshito Zamami, Kazuyoshi Kawazoe, Mitsuhiro Goda, Masayuki Chuma, Takahiro Niimura, Yuki Izawa‐Ishizawa, Keijo Fukushima, Yasuo Shinohara and Toshihiro Koyama and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Naoto Okada

54 papers receiving 841 citations

Peers

Naoto Okada
Jinze Li China
Alaa M. Ali United States
Yao Chen China
Yiwen Liu China
Lin Shen China
Lei Luo China
Naoto Okada
Citations per year, relative to Naoto Okada Naoto Okada (= 1×) peers Yoshiki Takahashi

Countries citing papers authored by Naoto Okada

Since Specialization
Citations

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

Fields of papers citing papers by Naoto Okada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoto Okada

This figure shows the co-authorship network connecting the top 25 collaborators of Naoto Okada. A scholar is included among the top collaborators of Naoto Okada 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 Naoto Okada. Naoto Okada 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.
Okada, Naoto, et al.. (2026). Clinical Feasibility of Nomogram-Based Vancomycin Dosing Strategy: A Retrospective Study. Biological and Pharmaceutical Bulletin. 49(3). 422–428.
2.
Matsubara, Toshiyuki, Yuka Hiroshima, Naoto Okada, et al.. (2025). Characterization of Lachnoanaerobaculum sanguinis sp. nov., isolated from a blood culture of an acute myeloid leukemia patient with chemotherapy-related bacteremia. Anaerobe. 93. 102961–102961. 1 indexed citations
3.
Yamagata, Hiroshi, Hiroto Matsui, Naoto Okada, et al.. (2025). Evidence for a loss of analgesia when hydromorphone is administered in combination with hange-shashin-to: Enterohepatic circulation and β-glucuronidase inhibition. International Journal of Clinical Pharmacology and Therapeutics. 63(4). 174–176.
4.
Aizawa, Fuka, Hirofumi Hamano, Naoto Okada, et al.. (2024). Assessing the effects of interprofessional education by hospital pharmacists on pharmaceutical students using a self-evaluation scale. Journal of Pharmaceutical Health Care and Sciences. 10(1). 61–61.
5.
Manabe, Ken-ichi, et al.. (2024). Implementing Medical SPD Supports Optimization of Ward-based Clinical Pharmacy Practices: An Interrupted Time-series Analysis. Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences). 50(7). 366–373.
6.
Okada, Naoto, et al.. (2024). Association between immune checkpoint inhibitor and cytomegalovirus infection: A pharmacovigilance study based on the adverse event reporting system. International Journal of Cancer. 156(2). 293–298. 2 indexed citations
8.
Tamura, Miho, Susumu MURATA, Naoto Okada, et al.. (2023). Relationship between prolonged gestation and nifedipine pharmacokinetics in long‐term tocolysis. Basic & Clinical Pharmacology & Toxicology. 134(2). 241–249.
9.
Okada, Naoto, et al.. (2023). Disproportionality Analysis on Hypothyroidism With Roxadustat Using the Japanese Adverse Drug Event Database. The Journal of Clinical Pharmacology. 63(10). 1141–1146. 7 indexed citations
10.
Kouda, Kyoji, Naoto Okada, Yasushi Hirano, et al.. (2023). A low prognostic nutritional index is associated with increased remote infections within 30 days of colorectal surgery: A retrospective cohort study. American Journal of Infection Control. 51(11). 1218–1224. 1 indexed citations
11.
Chuma, Masayuki, Takahiro Niimura, Yutaka Kondo, et al.. (2022). Association Between Statin Use and Daptomycin-related Musculoskeletal Adverse Events: A Mixed Approach Combining a Meta-analysis and a Disproportionality Analysis. Clinical Infectious Diseases. 75(8). 1416–1422. 21 indexed citations
12.
Yamada, Hiroki, Naoto Okada, Shingen Nakamura, et al.. (2022). A machine learning model using SNPs obtained from a genome-wide association study predicts the onset of vincristine-induced peripheral neuropathy. The Pharmacogenomics Journal. 22(4). 241–246. 1 indexed citations
13.
Goda, Mitsuhiro, Kôji Miyata, Fuka Aizawa, et al.. (2022). Discovery of preventive drugs for cisplatin‐induced acute kidney injury using big data analysis. Clinical and Translational Science. 15(7). 1664–1675. 5 indexed citations
14.
Zamami, Yoshito, Takahiro Niimura, Takehiro Kawashiri, et al.. (2022). Identification of prophylactic drugs for oxaliplatin-induced peripheral neuropathy using big data. Biomedicine & Pharmacotherapy. 148. 112744–112744. 14 indexed citations
15.
Okada, Naoto, Hitoshi Kawazoe, Kenshi Takechi, et al.. (2018). Association Between Immune-Related Adverse Events and Clinical Efficacy in Patients with Melanoma Treated With Nivolumab: A Multicenter Retrospective Study. Clinical Therapeutics. 41(1). 59–67. 85 indexed citations
16.
Okada, Naoto, Momoyo Azuma, Masaki Imanishi, et al.. (2018). Potential Usefulness of Early Potassium Supplementation for Preventing Severe Hypokalemia Induced by Liposomal Amphotericin B in Hematologic Patients: A Retrospective Study. Clinical Therapeutics. 40(2). 252–260. 8 indexed citations
17.
Hamano, Hirofumi, Yoshito Zamami, Kenshi Takechi, et al.. (2018). Irinotecan-induced neutropenia is reduced by oral alkalization drugs: analysis using retrospective chart reviews and the spontaneous reporting database. Supportive Care in Cancer. 27(3). 849–856. 15 indexed citations
19.
Hirooka, Yoshiki, Yasumasa Niwa, Naoki Ohmiya, et al.. (2004). Comparison of image quality between electronic and mechanical radial scanning echoendoscopes in pancreatic diseases. Journal of Gastroenterology and Hepatology. 19(4). 454–459. 47 indexed citations
20.
Okada, Naoto, Yoshiki Hirooka, Akihiro Ito, et al.. (2003). Retroperitoneal neurilemoma diagnosed by EUS-guided FNA. Gastrointestinal Endoscopy. 57(6). 790–792. 10 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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