Kuniko Matsuda

90 total papers · 2.0k total citations
55 papers, 1.6k citations indexed

About

Kuniko Matsuda is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Kuniko Matsuda has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Pulmonary and Respiratory Medicine, 25 papers in Molecular Biology and 18 papers in Oncology. Recurrent topics in Kuniko Matsuda's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (21 papers), Lung Cancer Treatments and Mutations (14 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Kuniko Matsuda is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (21 papers), Lung Cancer Treatments and Mutations (14 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Kuniko Matsuda collaborates with scholars based in Japan, Singapore and United States. Kuniko Matsuda's co-authors include Akihiko Gemma, Masahiro Seike, Shoji Kudoh, Rintaro Noro, Arata Azuma, Yuji Minegishi, Jiro Usuki, Tetsuya Okano, Akihiko Miyanaga and Shinji Abe and has published in prestigious journals such as The Journal of Experimental Medicine, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Kuniko Matsuda

52 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Kuniko Matsuda 756 718 325 296 158 55 1.6k
Mikko Rönty 613 0.8× 593 0.8× 259 0.8× 302 1.0× 152 1.0× 48 1.5k
Richard Seonghun Nho 968 1.3× 802 1.1× 229 0.7× 218 0.7× 382 2.4× 43 2.2k
Gonzalo Sánchez‐Duffhues 1.2k 1.6× 421 0.6× 237 0.7× 283 1.0× 134 0.8× 51 2.3k
Wei Li 985 1.3× 586 0.8× 208 0.6× 331 1.1× 220 1.4× 54 2.2k
Jannie Marie Bülow Sand 440 0.6× 660 0.9× 235 0.7× 233 0.8× 323 2.0× 63 1.9k
Korsa Khan 758 1.0× 427 0.6× 252 0.8× 379 1.3× 209 1.3× 48 2.0k
Siri Lehtonen 710 0.9× 344 0.5× 214 0.7× 175 0.6× 246 1.6× 59 1.7k
Jean‐Marie Tournier 845 1.1× 421 0.6× 493 1.5× 504 1.7× 61 0.4× 27 1.8k
Ricardo Ribeiro 533 0.7× 414 0.6× 365 1.1× 411 1.4× 207 1.3× 64 1.5k
Marlene Absher 500 0.7× 492 0.7× 175 0.5× 130 0.4× 55 0.3× 52 1.4k

Countries citing papers authored by Kuniko Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Kuniko Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuniko Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Kuniko Matsuda. A scholar is included among the top collaborators of Kuniko 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 Kuniko Matsuda. Kuniko 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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2026