Takuya Iwamoto

2.3k total citations
134 papers, 1.7k citations indexed

About

Takuya Iwamoto is a scholar working on Oncology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Takuya Iwamoto has authored 134 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 23 papers in Infectious Diseases and 23 papers in Epidemiology. Recurrent topics in Takuya Iwamoto's work include Drug Transport and Resistance Mechanisms (16 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers) and Renal Transplantation Outcomes and Treatments (11 papers). Takuya Iwamoto is often cited by papers focused on Drug Transport and Resistance Mechanisms (16 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers) and Renal Transplantation Outcomes and Treatments (11 papers). Takuya Iwamoto collaborates with scholars based in Japan, United States and Germany. Takuya Iwamoto's co-authors include Masahiro Okuda, Michio Kojima, Kenji Ikemura, Yoshiyuki Kagawa, Hideki Mizutani, Yusuke Hiraku, Shosuke Kawanishi, Yuichi Muraki, Shinji Oikawa and Yutaka Naito and has published in prestigious journals such as PLoS ONE, Water Research and Scientific Reports.

In The Last Decade

Takuya Iwamoto

120 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
Takuya Iwamoto Japan 24 381 373 234 217 198 134 1.7k
Kyun‐Seop Bae South Korea 23 299 0.8× 339 0.9× 176 0.8× 136 0.6× 341 1.7× 129 1.9k
Xingang Li China 20 152 0.4× 259 0.7× 253 1.1× 204 0.9× 155 0.8× 116 1.4k
Li‐Jiuan Shen Taiwan 26 134 0.4× 384 1.0× 198 0.8× 171 0.8× 159 0.8× 87 1.8k
Raf Mols Belgium 28 559 1.5× 712 1.9× 113 0.5× 150 0.7× 256 1.3× 53 2.8k
Young‐A Heo New Zealand 20 218 0.6× 561 1.5× 236 1.0× 257 1.2× 70 0.4× 53 1.8k
Matt Shirley New Zealand 28 447 1.2× 951 2.5× 198 0.8× 317 1.5× 162 0.8× 85 2.7k
Kazuaki Taguchi Japan 28 191 0.5× 1.0k 2.8× 259 1.1× 224 1.0× 183 0.9× 189 2.3k
Philippe Bourget France 24 213 0.6× 336 0.9× 242 1.0× 199 0.9× 292 1.5× 91 1.8k
Lingling Zhu China 24 233 0.6× 677 1.8× 100 0.4× 171 0.8× 183 0.9× 103 1.8k
Nobuyuki Sugioka Japan 23 284 0.7× 340 0.9× 102 0.4× 51 0.2× 148 0.7× 87 1.8k

Countries citing papers authored by Takuya Iwamoto

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Iwamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Iwamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Iwamoto. A scholar is included among the top collaborators of Takuya Iwamoto 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 Takuya Iwamoto. Takuya Iwamoto 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.
Kato, Hideo, Takumi Umemura, Mao Hagihara, et al.. (2024). Development of a therapeutic drug‐monitoring algorithm for outpatients receiving voriconazole: A multicentre retrospective study. British Journal of Clinical Pharmacology. 90(5). 1222–1230. 4 indexed citations
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Aoyama, Takahiko, et al.. (2024). Pharmacokinetic Model of Drug Interaction of Tacrolimus with Combined Administration of CYP3A4 Inhibitors Voriconazole and Clarithromycin After Bone Marrow Transplantation. European Journal of Drug Metabolism and Pharmacokinetics. 49(6). 763–771. 1 indexed citations
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Ogura, Toru, et al.. (2024). Influence of loop diuretics on denosumab-induced hypocalcaemia in osteoporosis: a retrospective observational analysis. Journal of Pharmaceutical Health Care and Sciences. 10(1). 60–60.
7.
Sakai, Masahiro, et al.. (2023). Comparison of creatinine‐based equations for estimating renal function for digoxin dose adjustment in patients with atrial fibrillation and heart failure. Pharmacology Research & Perspectives. 11(1). e01050–e01050. 1 indexed citations
8.
Morikawa, Yoshihiko, et al.. (2023). Impact of glycaemic control and CYP3A5 polymorphisms on tacrolimus trough concentrations after adult kidney transplantation. British Journal of Clinical Pharmacology. 89(6). 1852–1861. 1 indexed citations
9.
Ogura, Toru, et al.. (2023). Analysis of Clinical Factors in Olaparib-related Anemia Using Adverse Drug Event Reporting Databases. Anticancer Research. 43(2). 883–891. 6 indexed citations
10.
Takakura, Ayumi, et al.. (2023). Reduced blood glucose levels by the combination of vadadustat in an elderly patient with chronic kidney disease who was receiving mitiglinide and sitagliptin: a case report. Journal of Pharmaceutical Health Care and Sciences. 9(1). 46–46. 2 indexed citations
11.
Kato, Hideo, Mao Hagihara, Nobuhiro Asai, et al.. (2023). A systematic review and meta‐analysis of efficacy and safety of isavuconazole for the treatment and prophylaxis of invasive fungal infections. Mycoses. 66(9). 815–824. 13 indexed citations
12.
Aoyama, Takahiko, et al.. (2023). Kinetic–pharmacodynamic model of warfarin for prothrombin time–international normalized ratio in Japanese patients. British Journal of Clinical Pharmacology. 90(3). 828–836.
13.
Tawara, Isao, et al.. (2023). Drug interactions of tacrolimus with letermovir and azole antifungals following hematopoietic stem cell transplantation: A retrospective observational analysis. Pharmacology Research & Perspectives. 11(4). e01120–e01120. 2 indexed citations
14.
Matsumoto, Takeshi, et al.. (2020). Impact of physician−pharmacist collaborative protocol-based pharmacotherapy management for HIV outpatients: a retrospective cohort study. Journal of Pharmaceutical Health Care and Sciences. 6(1). 9–9. 9 indexed citations
15.
Ikemura, Kenji, et al.. (2019). Risk factors for the development of hypermagnesemia in patients prescribed magnesium oxide: a retrospective cohort study. Journal of Pharmaceutical Health Care and Sciences. 5(1). 4–4. 18 indexed citations
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Iwamoto, Takuya, Takuji Arima, Toru Uno, et al.. (2014). Measurement of electromagnetic field in the vicinity of wireless power transfer system for evaluation of human-body exposure. International Symposium on Electromagnetic Compatibility. 529–532. 10 indexed citations
18.
Iwamoto, Takuya, Yoshiyuki Kagawa, & Michio Kojima. (2005). Factors Influencing the Overestimation of Plasma Vancomycin Concentrations Measured by the Abbott TDx Technique. Therapeutic Drug Monitoring. 27(1). 58–62. 11 indexed citations
19.
Vogel, Uwe, et al.. (2000). LVDS I/O cells with rail-to-rail receiver input for SONET/SDH at 1.25Gb/s. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 460–463. 3 indexed citations
20.
Kokozinski, Rainer, Dirk Hammerschmidt, B.J. Hosticka, et al.. (2000). A low-voltage low-power 0.25µm CMOS ADSL analog front-end IC. European Solid-State Circuits Conference. 451–454. 2 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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