Ken‐ichi Kamo

1.6k citations
61 papers · 1.3k indexed · h-index 18
Topics
Global Cancer Incidence and Screening (15 papers)Colorectal Cancer Screening and Detection (9 papers)Nonlinear Differential Equations Analysis (7 papers)

In The Last Decade

Ken‐ichi Kamo

56 papers receiving 1.2k citations

Peers

Ken‐ichi Kamo
Comparison fields: 5 of 128
  • Oncology 496
  • Pulmonary and Respiratory Medicine 348
  • Surgery 245
  • Epidemiology 192
  • Cancer Research 119
Replace Enrico Grande with:
Enrico Grande Italy
Andrea Tavilla Italy
William D. Hazelton United States
Valentina I. Petkov United States
Ondřej Májek Czechia
Brian S. Finkelman United States
Yingwei Peng Canada
Charles E. Hill United States
Angela C. Tramontano United States
Humaid O. Al‐Shamsi United Arab Emirates
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Citations per field
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Citations per year

Countries citing papers authored by Ken‐ichi Kamo

Since Specialization
Citations

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

Fields of papers citing papers by Ken‐ichi Kamo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐ichi Kamo. 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 Ken‐ichi Kamo. The network helps show where Ken‐ichi Kamo may publish in the future.

Co-authorship network of co-authors of Ken‐ichi Kamo

This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐ichi Kamo. A scholar is included among the top collaborators of Ken‐ichi Kamo 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 Ken‐ichi Kamo. Ken‐ichi Kamo 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
#WorkIndexed citations
1 1
2 0
3 11
4 6
5 7
6 33
7 10
8 43
9 10
10 8
11 17
12 23
13 118
14
Probability Estimation of Snow Damage on Sugi (Cryptomeria japonica) Forest Stands by Logistic Regression Model in Toyama Prefecture, Japan
1
15 87
16
ASYMPTOTIC FORMS OF WEAKLY INCREASING POSITIVE SOLUTIONS FOR QUASILINEAR ORDINARY DIFFERENTIAL EQUATIONS
19
17 49
18 160
19 37
20 32

About Ken‐ichi Kamo

Ken‐ichi Kamo is a scholar working on Numerical Analysis, Modeling and Simulation and Radiation, having authored 61 papers that have together received 1.3k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (15 papers), Colorectal Cancer Screening and Detection (9 papers) and Nonlinear Differential Equations Analysis (7 papers). The work is most often cited by research in Oncology (496 citations), Modeling and Simulation (53 citations) and Pulmonary and Respiratory Medicine (348 citations). Ken‐ichi Kamo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tomotaka Sobue, Kota Katanoda, Wakiko Ajiki, Tomomi Marugame, Tomohiro Matsuda, T Matsuda, Hiroyuki Usami, Ayako Sumi, Shoichiro Tsugane and Shoichi Mizuno. Their work appears in journals such as Medical Physics, Preventive Medicine and Journal of Mathematical Analysis and Applications.

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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