Eriko Matsuda

87 total papers · 734 total citations
51 papers, 542 citations indexed

About

Eriko Matsuda is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Eriko Matsuda has authored 51 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 10 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Eriko Matsuda's work include Salivary Gland Tumors Diagnosis and Treatment (5 papers), Ultrasound Imaging and Elastography (5 papers) and Ultrasound and Hyperthermia Applications (5 papers). Eriko Matsuda is often cited by papers focused on Salivary Gland Tumors Diagnosis and Treatment (5 papers), Ultrasound Imaging and Elastography (5 papers) and Ultrasound and Hyperthermia Applications (5 papers). Eriko Matsuda collaborates with scholars based in Japan and United States. Eriko Matsuda's co-authors include Takahiro Fukuhara, Kazunori Fujiwara, Hiroya Kitano, Shoichiro Izawa, Hiromi Takeuchi, Hiromi Maruyama, Masahiro Nagai, Yusuke Sato, Kazuyuki Kitamura and Hiroyasu Tobe and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and Endocrinology.

In The Last Decade

Eriko Matsuda

50 papers receiving 526 citations

Author Peers

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

Author						Papers	Cites
Eriko Matsuda	123	92	87	80	79	51	542
Xiaoyan Zhang	104 0.8×	133 1.4×	148 1.7×	28 0.3×	24 0.3×	44	571
Hisashi Murakami	174 1.4×	143 1.6×	29 0.3×	67 0.8×	87 1.1×	32	556
Wenhao Ge	179 1.5×	67 0.7×	36 0.4×	16 0.2×	70 0.9×	47	556
Young Ju Jeong	128 1.0×	75 0.8×	65 0.7×	22 0.3×	151 1.9×	57	591
Christian Freise	198 1.6×	81 0.9×	41 0.5×	18 0.2×	44 0.6×	34	615
Chong Geng	128 1.0×	124 1.3×	30 0.3×	28 0.3×	60 0.8×	33	477
Yuhan Jiang	229 1.9×	47 0.5×	53 0.6×	19 0.2×	68 0.9×	69	601
Vijay Kumar	112 0.9×	139 1.5×	33 0.4×	24 0.3×	45 0.6×	27	578
Kazuhiko Fujita	255 2.1×	110 1.2×	33 0.4×	29 0.4×	111 1.4×	66	580
Ikuo Mori	143 1.2×	72 0.8×	45 0.5×	15 0.2×	66 0.8×	49	470

Countries citing papers authored by Eriko Matsuda

Since Specialization

Citations

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

Fields of papers citing papers by Eriko Matsuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eriko Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Eriko Matsuda. A scholar is included among the top collaborators of Eriko Matsuda 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 Eriko Matsuda. Eriko Matsuda 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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