Hiroshi Tone

62 total papers · 831 total citations
53 papers, 615 citations indexed

About

Hiroshi Tone is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Hiroshi Tone has authored 53 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Organic Chemistry and 12 papers in Pharmacology. Recurrent topics in Hiroshi Tone's work include Microbial Natural Products and Biosynthesis (10 papers), Cancer therapeutics and mechanisms (8 papers) and Cancer Treatment and Pharmacology (7 papers). Hiroshi Tone is often cited by papers focused on Microbial Natural Products and Biosynthesis (10 papers), Cancer therapeutics and mechanisms (8 papers) and Cancer Treatment and Pharmacology (7 papers). Hiroshi Tone collaborates with scholars based in Japan, United Kingdom and United States. Hiroshi Tone's co-authors include TOMIO TAKEUCHI, HAMAO UMEZAWA, Tadashi Yoshimoto, Takashi Honda, TOSHIKAZU OKI, Hiroshi Iguchi, Taiji Inui, Daisuke Tsuru, Tomoyuki Ishikura and Asaichiro Ozaki and has published in prestigious journals such as American Journal of Clinical Nutrition, Molecular Pharmacology and Biotechnology and Bioengineering.

In The Last Decade

Hiroshi Tone

53 papers receiving 579 citations

Author Peers

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

Author Last Decade Papers Cites
Hiroshi Tone 300 169 118 112 82 53 615
Koji Yamada 268 0.9× 122 0.7× 286 2.4× 104 0.9× 114 1.4× 40 695
Osamu Asano 215 0.7× 128 0.8× 152 1.3× 47 0.4× 55 0.7× 36 652
Liyun Liu 290 1.0× 78 0.5× 40 0.3× 50 0.4× 46 0.6× 42 590
Masahiro Ohno 281 0.9× 57 0.3× 113 1.0× 35 0.3× 35 0.4× 61 653
Ebrahim Eftekhar 202 0.7× 83 0.5× 57 0.5× 41 0.4× 40 0.5× 69 618
Valerio Ciccone 240 0.8× 143 0.8× 43 0.4× 36 0.3× 56 0.7× 42 600
Jie Tang 210 0.7× 165 1.0× 71 0.6× 111 1.0× 19 0.2× 39 646
Yuko Noda 169 0.6× 38 0.2× 54 0.5× 43 0.4× 103 1.3× 56 538
Ulrike Riese 218 0.7× 89 0.5× 200 1.7× 182 1.6× 29 0.4× 22 674
Junxian Yu 249 0.8× 127 0.8× 65 0.6× 84 0.8× 21 0.3× 37 627

Countries citing papers authored by Hiroshi Tone

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Tone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Tone

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