Narumi Matsuda

17 total papers · 617 total citations
13 papers, 413 citations indexed

About

Narumi Matsuda is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Narumi Matsuda has authored 13 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Plant Science and 3 papers in Biotechnology. Recurrent topics in Narumi Matsuda's work include Plant tissue culture and regeneration (9 papers), Polyamine Metabolism and Applications (5 papers) and Plant Reproductive Biology (5 papers). Narumi Matsuda is often cited by papers focused on Plant tissue culture and regeneration (9 papers), Polyamine Metabolism and Applications (5 papers) and Plant Reproductive Biology (5 papers). Narumi Matsuda collaborates with scholars based in Japan, China and Egypt. Narumi Matsuda's co-authors include Hiromichi Inoue, Takaya Moriguchi, Xiaopeng Wen, Yusuke Ban, Masayuki Kita, Xiaoming Pang, Yu‐Jin Hao, C. Honda, Kanji Isuzugawa and Lixiong He and has published in prestigious journals such as Inorganic Chemistry, Phytochemistry and Environmental and Experimental Botany.

In The Last Decade

Narumi Matsuda

13 papers receiving 392 citations

Author Peers

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

Author Last Decade Papers Cites
Narumi Matsuda 343 288 26 17 14 13 413
Eric C. Holmes 277 0.8× 183 0.6× 15 0.6× 8 0.5× 12 0.9× 11 468
P. B. Nicholls 231 0.7× 205 0.7× 58 2.2× 9 0.5× 25 1.8× 10 441
Guangjun Yin 347 1.0× 274 1.0× 9 0.3× 14 0.8× 16 1.1× 9 445
Zhiyu Kang 305 0.9× 92 0.3× 6 0.2× 17 1.0× 10 0.7× 9 387
Sujuan Shi 330 1.0× 154 0.5× 23 0.9× 3 0.2× 8 0.6× 15 409
Cláudia Santos Gai 174 0.5× 239 0.8× 20 0.8× 7 0.4× 70 5.0× 12 418
Stefan Turk 237 0.7× 181 0.6× 49 1.9× 13 0.8× 11 0.8× 9 370
Abdul Fatah A. Samad 314 0.9× 276 1.0× 10 0.4× 10 0.6× 8 0.6× 20 475
Gregory J. Wadsworth 336 1.0× 238 0.8× 29 1.1× 11 0.6× 11 0.8× 11 423
Teresa Mozo 306 0.9× 260 0.9× 47 1.8× 10 0.6× 10 0.7× 11 416

Countries citing papers authored by Narumi Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Narumi Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narumi Matsuda

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