Takashi Murakami

402 total papers · 8.9k total citations
233 papers, 6.7k citations indexed

About

Takashi Murakami is a scholar working on Biotechnology, Oncology and Biomedical Engineering. According to data from OpenAlex, Takashi Murakami has authored 233 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Biotechnology, 74 papers in Oncology and 67 papers in Biomedical Engineering. Recurrent topics in Takashi Murakami's work include Cancer Research and Treatments (82 papers), Nanoplatforms for cancer theranostics (61 papers) and Virus-based gene therapy research (52 papers). Takashi Murakami is often cited by papers focused on Cancer Research and Treatments (82 papers), Nanoplatforms for cancer theranostics (61 papers) and Virus-based gene therapy research (52 papers). Takashi Murakami collaborates with scholars based in Japan, United States and South Korea. Takashi Murakami's co-authors include Eiji Kobayashi, Robert M. Hoffman, Adela R. Cardones, Itaru Endo, Yukihiko Hiroshima, Yoji Hakamata, Michael Bouvet, Samuel Hwang, Kuniya Tanaka and Masafumi Takahashi and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and The Journal of Experimental Medicine.

In The Last Decade

Takashi Murakami

223 papers receiving 6.6k citations

Author Peers

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

Author Last Decade Papers Cites
Takashi Murakami 2.1k 1.8k 1.8k 1.5k 1.2k 233 6.7k
Katsuhiro Hayashi 1.2k 0.6× 1.5k 0.8× 1.4k 0.8× 1.2k 0.8× 421 0.3× 312 6.3k
Norio Yamamoto 1.5k 0.7× 1.3k 0.7× 1.5k 0.8× 1.3k 0.9× 474 0.4× 341 6.6k
Ping Jiang 1.9k 0.9× 2.0k 1.1× 1.9k 1.1× 1.7k 1.1× 626 0.5× 97 5.6k
Khalid Shah 2.2k 1.1× 4.7k 2.6× 584 0.3× 1.2k 0.8× 1.0k 0.8× 138 8.4k
Shinji Miwa 952 0.5× 839 0.5× 1.7k 1.0× 1.4k 0.9× 244 0.2× 248 4.1k
Hiroaki Wakimoto 3.7k 1.8× 4.8k 2.6× 706 0.4× 642 0.4× 1.3k 1.0× 184 9.4k
Hirofumi Hamada 2.7k 1.3× 5.7k 3.2× 531 0.3× 373 0.2× 2.0k 1.6× 227 11.7k
John S. Yu 4.2k 2.0× 3.3k 1.8× 408 0.2× 689 0.5× 3.1k 2.5× 171 8.7k
C. Ryan Miller 2.0k 1.0× 3.4k 1.9× 322 0.2× 381 0.3× 643 0.5× 154 6.3k
Yao Wang 4.9k 2.4× 2.7k 1.5× 163 0.1× 1.5k 1.0× 2.3k 1.8× 217 8.3k

Countries citing papers authored by Takashi Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Murakami

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