Kunihiko Takeyama

3.5k citations
41 papers · 2.7k indexed · 2 hit papers · h-index 16

Kunihiko Takeyama

37 papers receiving 2.6k citations

Hit Papers

Integrative analysis reveals selective 9p24.1 amplificati...200720262013201920102007250500750

Peers

Kunihiko Takeyama
Comparison fields: 5 of 103
  • Oncology 1.4k
  • Molecular Biology 979
  • Pathology and Forensic Medicine 936
  • Immunology 928
  • Genetics 374
Replace Antonella Aiello with:
Antonella Aiello Italy
Przemysław Juszczyński Poland
Yasuhito Terui Japan
Katrina Wood United Kingdom
M Stetler-Stevenson United States
Marco Herling Germany
Justin L. Ricker United States
Sriram Balasubramanian United States
Nilanjan Ghosh United States
Mamta Gupta United States
Kunihiko Takeyama relative to Antonella Aiello Italy Antonella Aiello's profile →
Citations per field
00.5×3.3×
Antonella Aiello · 1×
Citations per year

Countries citing papers authored by Kunihiko Takeyama

Since Specialization
Citations

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

Fields of papers citing papers by Kunihiko Takeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunihiko Takeyama

This figure shows the co-authorship network connecting the top 25 collaborators of Kunihiko Takeyama. A scholar is included among the top collaborators of Kunihiko Takeyama 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 Kunihiko Takeyama. Kunihiko Takeyama 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
2 127
3 28
4 8
5 26
6 8
7 19
8 3
9 135
10 33
11 10
12
Analysis of genetic polymorphism in NQO1, GST-M1, GST-T1, and CYP3A4 in 469 Japanese patients with therapy-related leukemia/ myelodysplastic syndrome and de novo acute myeloid leukemia.
160
13 7
14 0
15 13
16 8
17 16
18 161
19
Renal excretion mechanism of at-2266 in dogs
2
20
An Ecological Study of Microclimate at Timberline on Mt. Fuji I : Measurement of Diurnal Change in Air and Soil Temperature in Spring
4

About Kunihiko Takeyama

Kunihiko Takeyama is a scholar working on Immunology, Pathology and Forensic Medicine and Genetics, having authored 41 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Galectins and Cancer Biology (7 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Oncology (1.4k citations), Pathology and Forensic Medicine (936 citations) and Immunology (928 citations). Kunihiko Takeyama has collaborated with scholars based in United States, Japan and Argentina. Frequent co-authors include Margaret A. Shipp, Jeffery L. Kutok, Przemysław Juszczyński, Scott J. Rodig, Stefano Monti, Treeve Currie, Donna Neuberg, Todd R. Golub, Evan A. O’Donnell and Bjoern Chapuy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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