Teruyoshi Marunaka

777 citations
44 papers · 646 indexed · h-index 14
Topics
Cancer Treatment and Pharmacology (8 papers)Analytical Methods in Pharmaceuticals (8 papers)Bioactive Natural Diterpenoids Research (7 papers)
Partner nations
JapanChinaUnited Kingdom

In The Last Decade

Teruyoshi Marunaka

44 papers receiving 619 citations

Peers

Teruyoshi Marunaka
Comparison fields: 5 of 82
  • Molecular Biology 335
  • Pharmacology 161
  • Organic Chemistry 157
  • Oncology 135
  • Pharmacology 82
Replace Katsu-ichi Sakano with:
Katsu-ichi Sakano Japan
C. G. CHIDESTER United States
Chang Yong Hong South Korea
Ronald M. Stroshane United States
Adriano Afonso United States
Tze‐Ming Chan United States
Mingxin Qian United States
Amin Mirza United Kingdom
Jennifer B. Bouska United States
W. G. Kump Switzerland
Teruyoshi Marunaka relative to Katsu-ichi Sakano Japan Katsu-ichi Sakano's profile →
Citations per field
00.5×2.6×
Katsu-ichi Sakano · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 5
2 2
3 7
4 3
5 17
6 8
7 70
8 114
9 8
10 3
11 13
12 21
13 60
14 13
15 1
16 1
17 16
18 10
19 8
20 13

About Teruyoshi Marunaka

Teruyoshi Marunaka is a scholar working on Analytical Chemistry, Pharmacology and Pharmacology, having authored 44 papers that have together received 646 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), Analytical Methods in Pharmaceuticals (8 papers) and Bioactive Natural Diterpenoids Research (7 papers). The work is most often cited by research in Pharmacology (161 citations), Pharmacology (82 citations) and Toxicology (29 citations). Teruyoshi Marunaka has collaborated with scholars based in Japan, China and United Kingdom. Frequent co-authors include Yoshinori Minami, TOSHIO OTANI, Yuji Yamada, Eiji Matsushima, Tetsuro Fujita, Rui Zhang, Rui Zhang, Sun H, Setsuro Fujii and Yoshio Takeda. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chromatography A and Journal of Pharmaceutical Sciences.

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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