Chikuma Hamada

6.6k total citations
144 papers, 3.5k citations indexed

About

Chikuma Hamada is a scholar working on Statistics and Probability, Oncology and Surgery. According to data from OpenAlex, Chikuma Hamada has authored 144 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 34 papers in Oncology and 25 papers in Surgery. Recurrent topics in Chikuma Hamada's work include Statistical Methods in Clinical Trials (37 papers), Colorectal Cancer Treatments and Studies (21 papers) and Optimal Experimental Design Methods (18 papers). Chikuma Hamada is often cited by papers focused on Statistical Methods in Clinical Trials (37 papers), Colorectal Cancer Treatments and Studies (21 papers) and Optimal Experimental Design Methods (18 papers). Chikuma Hamada collaborates with scholars based in Japan, United States and Italy. Chikuma Hamada's co-authors include Isao Yoshimura, Hiroyuki Morita, Mitsuo Ohta, Shigefumi Fujimura, Ken Kodama, Hiromi Wada, Munehisa Imaizumi, Takao Sugiyama, Hiroki Kurihara and Yoshio Yazaki and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Surgery and The Lancet Neurology.

In The Last Decade

Chikuma Hamada

131 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chikuma Hamada Japan 28 1.1k 897 588 418 415 144 3.5k
P M Wilkinson United Kingdom 31 799 0.8× 1.0k 1.2× 1.2k 2.0× 553 1.3× 326 0.8× 87 3.4k
James A. Mailliard United States 38 1.8k 1.7× 3.8k 4.3× 825 1.4× 772 1.8× 107 0.3× 92 6.8k
Shawn Malone Canada 31 2.7k 2.6× 1.3k 1.4× 446 0.8× 331 0.8× 233 0.6× 168 4.5k
Tom R. Fitch United States 34 1.3k 1.2× 2.0k 2.3× 763 1.3× 1.2k 2.8× 120 0.3× 97 4.6k
Leon Sun United States 44 4.4k 4.2× 1.0k 1.1× 1.1k 2.0× 930 2.2× 172 0.4× 147 6.2k
Hui Tang China 34 1.1k 1.1× 693 0.8× 655 1.1× 1.3k 3.2× 374 0.9× 161 3.9k
Kristopher Attwood United States 40 1.7k 1.6× 2.0k 2.2× 1.4k 2.4× 1.4k 3.3× 400 1.0× 333 5.4k
Anastasia Ivanova United States 36 645 0.6× 951 1.1× 438 0.7× 618 1.5× 111 0.3× 193 5.1k
Patrizia Ferroni Italy 41 850 0.8× 1.3k 1.4× 734 1.2× 1.2k 2.8× 1.1k 2.6× 218 5.5k
Panagiotis Paliogiannis Italy 32 1.1k 1.0× 1.3k 1.4× 528 0.9× 990 2.4× 189 0.5× 179 3.9k

Countries citing papers authored by Chikuma Hamada

Since Specialization
Citations

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

Fields of papers citing papers by Chikuma Hamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chikuma Hamada

This figure shows the co-authorship network connecting the top 25 collaborators of Chikuma Hamada. A scholar is included among the top collaborators of Chikuma Hamada 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 Chikuma Hamada. Chikuma Hamada 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.
Nagasawa, Hiroyuki, et al.. (2016). Time to spontaneous ductus arteriosus closure in full-term neonates. Open Heart. 3(1). e000413–e000413. 17 indexed citations
2.
Nakamura, Masato, Shinsuke Nanto, Atsushi Hirayama, et al.. (2013). Optimal duration of dual antiplatelet therapy following treatment with the endeavor zotarolimus‐eluting stent in real‐world Japanese patients with coronary artery disease (OPERA): Study design and rationale. Catheterization and Cardiovascular Interventions. 84(3). 368–374. 3 indexed citations
3.
Asakawa, T., et al.. (2012). A Continual Reassessment Method that Adaptively Changes the Prior Distribution According to the Initial Cohort Observation. Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics. 43(1). 21–28.
4.
Kunieda, Katsuyuki, Sotaro Sadahiro, Hideyuki Mishima, et al.. (2012). Six months versus twelve months of capecitabine as adjuvant chemotherapy for stage III (Dukes' C) colon cancer: Initial safety report for the open-label randomized phase III study (JFMC37-0801).. Journal of Clinical Oncology. 30(15_suppl). 3607–3607. 2 indexed citations
5.
Kaneko, Shuhei, Akihiro Hirakawa, & Chikuma Hamada. (2012). Gene Selection using a High-Dimensional Regression Model with Microarrays in Cancer Prognostic Studies. Cancer Informatics. 11. CIN.S9048–CIN.S9048. 7 indexed citations
6.
Yokochi, Alex, Hiroo Itoh, Junko Maruyama, et al.. (2010). Colforsin-induced vasodilation in chronic hypoxic pulmonary hypertension in rats. Journal of Anesthesia. 24(3). 432–440. 4 indexed citations
7.
Hamada, Chikuma, et al.. (2009). Survey of statistical analysis in Journal of Pharmacological Sciences:. Folia Pharmacologica Japonica. 133(6). 306–310. 1 indexed citations
8.
Yamazaki, Akiko, et al.. (2009). Statistical selection of an appropriate enzyme-inhibition model. Folia Pharmacologica Japonica. 133(6). 313–318.
9.
10.
11.
Sozu, Takashi, et al.. (2006). A Statistical Method for Estimating ET50 Using Small Size Data. 11. 269.
12.
Hamada, Chikuma, et al.. (2006). Meta-analysis and Publication Bias in Medical Research. 27(2). 139–157. 2 indexed citations
13.
Sozu, Takashi, et al.. (2006). Statistical Considerations for Allocation and the Number of Time Points in a ET50 Estimation Using Three Dimensional Human Skin Model. 11. 268.
14.
Yoshimura, Isao, et al.. (2006). A method for therapeutic dose selection in a phase II clinical trial using contrast statistics. Statistics in Medicine. 26(3). 498–511. 4 indexed citations
15.
Kono, Satoshi, Kazunobu Nishimura, Takeshi Nishina, et al.. (2003). Autosynchronized systolic unloading during left ventricular assist with a centrifugal pump. Journal of Thoracic and Cardiovascular Surgery. 125(2). 353–360. 17 indexed citations
16.
Oga, Toru, Koichi Nishimura, Mitsuhiro Tsukino, et al.. (2002). Longitudinal changes in airflow limitation and airway hyperresponsiveness in patients with stable asthma. Annals of Allergy Asthma & Immunology. 89(6). 619–625. 9 indexed citations
17.
Fukayama, Masashi, Chikuma Hamada, Yoshitaka Hippo, et al.. (1999). New DNA polymorphisms of humanMMH/OGG1 gene: Prevalence of one polymorphism among lung-adenocarcinoma patients in Japanese. International Journal of Cancer. 80(1). 18–21. 60 indexed citations
18.
Hamada, Chikuma, et al.. (1996). A 10-Year Study on Antihypertensive Drug Use Based on Prescription Data in Bohsei Pharmacy. 1(2). 107–115. 1 indexed citations
19.
Hamada, Chikuma, T Takahashi, & Ken Nakajima. (1995). Quantitative Analysis of the Factors Affecting the Burden on Administering Medicine to the Elderly.. Japanese Journal of Hospital Pharmacy. 21(4). 282–294.
20.
Hamada, Chikuma, et al.. (1994). Questionnaires Relating to the Transmission of Drug Information Regarding the Interaction of Sorivudine.. Rinsho yakuri/Japanese Journal of Clinical Pharmacology and Therapeutics. 25(3). 583–596. 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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