Teruyoshi Marunaka

51 total papers · 777 total citations
44 papers, 644 citations indexed

About

Teruyoshi Marunaka is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Teruyoshi Marunaka has authored 44 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Pharmacology and 10 papers in Oncology. Recurrent topics in Teruyoshi Marunaka's work include Cancer Treatment and Pharmacology (8 papers), Analytical Methods in Pharmaceuticals (8 papers) and Bioactive Natural Diterpenoids Research (7 papers). Teruyoshi Marunaka is often cited by papers focused on Cancer Treatment and Pharmacology (8 papers), Analytical Methods in Pharmaceuticals (8 papers) and Bioactive Natural Diterpenoids Research (7 papers). Teruyoshi Marunaka collaborates with scholars based in Japan, China and United Kingdom. Teruyoshi Marunaka's co-authors include Yoshinori Minami, TOSHIO OTANI, Eiji Matsushima, Yuji Yamada, Rui Zhang, Tetsuro Fujita, Rui Zhang, Sun H, Setsuro Fujii and Yoshio Takeda and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Chromatography A and Journal of Pharmaceutical Sciences.

In The Last Decade

Teruyoshi Marunaka

44 papers receiving 617 citations

Author Peers

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

Author Last Decade Papers Cites
Teruyoshi Marunaka 333 160 157 135 82 44 644
M. Schach von Wittenau 249 0.7× 191 1.2× 206 1.3× 88 0.7× 50 0.6× 37 741
Tetsuya Saita 294 0.9× 92 0.6× 101 0.6× 76 0.6× 80 1.0× 59 605
Germano Carganico 216 0.6× 247 1.5× 202 1.3× 56 0.4× 109 1.3× 40 769
Shevin Rizal Feroz 545 1.6× 62 0.4× 116 0.7× 293 2.2× 42 0.5× 27 679
Prateek Pandya 512 1.5× 65 0.4× 184 1.2× 209 1.5× 33 0.4× 37 721
Sheeba Varghese Gupta 186 0.6× 117 0.7× 155 1.0× 92 0.7× 36 0.4× 23 648
J.E. Zarembo 252 0.8× 124 0.8× 113 0.7× 45 0.3× 54 0.7× 46 734
Peter R. Farina 233 0.7× 119 0.7× 123 0.8× 69 0.5× 30 0.4× 33 729
D Kertesz 290 0.9× 62 0.4× 159 1.0× 39 0.3× 53 0.6× 36 772
Duanyun Si 286 0.9× 53 0.3× 50 0.3× 99 0.7× 127 1.5× 48 578

Countries citing papers authored by Teruyoshi Marunaka

Since Specialization
Citations

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

Fields of papers citing papers by Teruyoshi Marunaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teruyoshi Marunaka

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