Chikuma Hamada

6.7k citations
145 papers · 3.5k · h-index 28

Impact in

Papers in

    • Statistical Methods in Clinical Trials 36
    • Statistical Methods and Inference 13
    • Colorectal Cancer Surgical Treatments 13
    • Colorectal Cancer Treatments and Studies 12

Chikuma Hamada

132 papers receiving 3.4k citations

Peers

Chikuma Hamada
Comparison fields: 5 of 137
  • Statistics and Probability 236
  • Hepatology 195
  • Clinical Biochemistry 168
  • Pulmonary and Respiratory Medicine 730
  • Oncology 598
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Citations per field
00.5×3.4×
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Citations per year

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-authors

The 25 scholars most cited alongside Chikuma Hamada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chikuma Hamada Line = papers co-authored together Chikuma Hamada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010360
2 2014268
3 2012244
4 2005211
5 2000162
6 2004135
7 2012117
8 1998117
9 2011115
10 2009100
11 201781
12 199981
13 199679
14 200565
15 199960
16 199859
17 200348
18 201439
19 200438
20 199935

About Chikuma Hamada

Chikuma Hamada is a scholar working on Statistics and Probability, Oncology, Management Science and Operations Research, Molecular Biology and Surgery, having authored 145 papers that have together received 3.5k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (36 papers), Optimal Experimental Design Methods (19 papers), Statistical Methods and Inference (13 papers), Colorectal Cancer Surgical Treatments (13 papers), Colorectal Cancer Treatments and Studies (12 papers), Gene expression and cancer classification (8 papers), Meta-analysis and systematic reviews (7 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Statistics and Probability (236 citations), Hepatology (195 citations), Clinical Biochemistry (168 citations), Pulmonary and Respiratory Medicine (730 citations) and Oncology (598 citations). Chikuma Hamada has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Isao Yoshimura, Hiroyuki Morita, Mitsuo Ohta, Hiromi Wada, Shigefumi Fujimura, Munehisa Imaizumi, Ken Kodama, Hiroki Kurihara, Takao Sugiyama and Yoshio Yazaki. Their work appears in journals such as Journal of Clinical Oncology, Journal of Biopharmaceutical Statistics, Pharmaceutical Statistics, Statistics in Medicine and Circulation Journal.

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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