Eriko Matsuda

737 total citations
52 papers, 547 citations indexed

About

Eriko Matsuda is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Eriko Matsuda has authored 52 papers receiving a total of 547 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 Ultrasound Imaging and Elastography (5 papers), Ultrasound and Hyperthermia Applications (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Eriko Matsuda is often cited by papers focused on Ultrasound Imaging and Elastography (5 papers), Ultrasound and Hyperthermia Applications (5 papers) and Cancer Immunotherapy and Biomarkers (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, Kazuyuki Kitamura, Masahiro Nagai, Hiromi Maruyama, Hiroyasu Tobe and Yusuke Sato and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Eriko Matsuda

51 papers receiving 531 citations

Peers

Eriko Matsuda
Comparison fields: 5 of 94
  • Molecular Biology 125
  • Surgery 93
  • Endocrinology, Diabetes and Metabolism 88
  • Oncology 80
  • Pharmacology 80
Replace Jae‐Sung Park with:
Jae‐Sung Park South Korea
Stefan Bohr United States
Meixi Liu China
Liyin Zhang China
Xiaojing Liu China
Jürgen Schulte Mönting Germany
Masoumeh Varedi Iran
Mario Starešinić Croatia
Tomonari Akatsu Japan
Ying‐Ju Chen Taiwan
Jae‐Sung Park South Korea View profile →
Citations per field, relative to Eriko Matsuda
Eriko Matsuda · 1×
Citations per year, relative to Eriko Matsuda
Eriko Matsuda · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 2
4 4
5 7
6 5
7 2
8 2
9 1
10 9
11 11
12 17
13 9
14 26
15 36
16 10
17 7
18 4
19 3
20 6

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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