Chikako Matsuba

61 total papers · 1.3k total citations
32 papers, 1.0k citations indexed

About

Chikako Matsuba is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Chikako Matsuba has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 10 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in Chikako Matsuba's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Genetic diversity and population structure (5 papers) and Animal Behavior and Reproduction (5 papers). Chikako Matsuba is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Genetic diversity and population structure (5 papers) and Animal Behavior and Reproduction (5 papers). Chikako Matsuba collaborates with scholars based in United States, Japan and Finland. Chikako Matsuba's co-authors include Juha Merilä, Hiroyuki Aburatani, Yoshitaka Hippo, Masashi Takao, Taketoshi Kodama, Midori Asano, Matthew P. Salomon, Akira Yasui, R. Takashima and Tateru Ishida and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Clinical Cancer Research.

In The Last Decade

Chikako Matsuba

31 papers receiving 985 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chikako Matsuba	509	391	201	137	83	32	1.0k
Mrinal K. Sanyal	258 0.5×	153 0.4×	122 0.6×	73 0.5×	69 0.8×	47	998
O. Rottmann	424 0.8×	737 1.9×	86 0.4×	53 0.4×	125 1.5×	55	1.2k
Betty S. Baker	760 1.5×	336 0.9×	105 0.5×	45 0.3×	225 2.7×	20	1.2k
Mikiye Nakanishi	494 1.0×	249 0.6×	98 0.5×	39 0.3×	26 0.3×	12	1.1k
Mónica Martínez‐Fernández	573 1.1×	223 0.6×	256 1.3×	58 0.4×	13 0.2×	38	1.1k
Hélène Holota	680 1.3×	198 0.5×	126 0.6×	131 1.0×	20 0.2×	37	1.1k
Daniel Bergman	292 0.6×	204 0.5×	90 0.4×	225 1.6×	60 0.7×	26	982
Pablo H. Strobl‐Mazzulla	483 0.9×	479 1.2×	143 0.7×	35 0.3×	21 0.3×	37	1.1k
S.T.H. Chan	160 0.3×	394 1.0×	66 0.3×	61 0.4×	47 0.6×	49	1.1k
H.G. Klemperer	533 1.0×	212 0.5×	34 0.2×	157 1.1×	32 0.4×	51	1.1k

Countries citing papers authored by Chikako Matsuba

Since Specialization

Citations

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

Fields of papers citing papers by Chikako Matsuba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chikako Matsuba

This figure shows the co-authorship network connecting the top 25 collaborators of Chikako Matsuba. A scholar is included among the top collaborators of Chikako Matsuba 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 Chikako Matsuba. Chikako Matsuba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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