Kazuhiro Maeda

131 total papers · 2.6k total citations
89 papers, 2.1k citations indexed

About

Kazuhiro Maeda is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Kazuhiro Maeda has authored 89 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 22 papers in Surgery and 16 papers in Molecular Biology. Recurrent topics in Kazuhiro Maeda's work include Inflammatory Bowel Disease (12 papers), Influenza Virus Research Studies (10 papers) and Helicobacter pylori-related gastroenterology studies (10 papers). Kazuhiro Maeda is often cited by papers focused on Inflammatory Bowel Disease (12 papers), Influenza Virus Research Studies (10 papers) and Helicobacter pylori-related gastroenterology studies (10 papers). Kazuhiro Maeda collaborates with scholars based in Japan, United Kingdom and Spain. Kazuhiro Maeda's co-authors include Toshiko Sugimoto, Kenji Uneyama, Yoshiki Sawa, Naruya Tomita, Iwao Kida, Ryuichi Morishita, Atsushi Moriguchi, Jitsuo Higaki, Yasufumi Kaneda and Motokuni Aoki and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kazuhiro Maeda

84 papers receiving 2.1k citations

Hit Papers

In vivo transfection of c... 1997 2026 2006 2016 1997 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Kazuhiro Maeda 570 449 407 373 344 89 2.1k
Kim E. Creek 1.1k 1.9× 125 0.3× 441 1.1× 141 0.4× 296 0.9× 87 2.1k
Yasuo Koyama 453 0.8× 866 1.9× 351 0.9× 123 0.3× 157 0.5× 123 2.7k
Yoko Endo 781 1.4× 354 0.8× 218 0.5× 109 0.3× 112 0.3× 53 2.0k
J. F. Borel 1.1k 2.0× 507 1.1× 303 0.7× 172 0.5× 119 0.3× 63 3.2k
Sérgio Paulo Bydlowski 993 1.7× 533 1.2× 157 0.4× 286 0.8× 96 0.3× 145 2.8k
John J. Rinehart 1000 1.8× 132 0.3× 241 0.6× 159 0.4× 96 0.3× 67 2.9k
Thomas J. Brown 650 1.1× 410 0.9× 119 0.3× 537 1.4× 192 0.6× 66 2.6k
Zheng Tan 1.3k 2.4× 415 0.9× 319 0.8× 209 0.6× 132 0.4× 92 3.3k
Günther Weber 1.5k 2.6× 227 0.5× 577 1.4× 315 0.8× 133 0.4× 100 3.3k
Dietmar Berger 621 1.1× 398 0.9× 191 0.5× 220 0.6× 116 0.3× 67 2.8k

Countries citing papers authored by Kazuhiro Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiro Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhiro Maeda

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