Eisaku Yoshida

2.2k citations
36 papers · 1.8k indexed · 1 hit paper · h-index 16

Eisaku Yoshida

35 papers receiving 1.8k citations

Hit Papers

The consensus motif for phosphorylation by cyclin D1-Cdk4...19962026200620161996100200300400500

Peers

Eisaku Yoshida
Comparison fields: 5 of 86
  • Molecular Biology 1.3k
  • Oncology 517
  • Epidemiology 233
  • Cell Biology 180
  • Genetics 150
Replace Kamini Singh with:
Kamini Singh United States
Sang Ho Kim South Korea
José M. Rojas Spain
SEAMUS V. LENNON Ireland
Boumediene Bouzahzah United States
Melissa J. Parsons United States
Kenichi Sato Japan
Yongge Zhao United States
Sajjad A. Qureshi United States
E. Aubrey Thompson United States
Eisaku Yoshida relative to Kamini Singh United States Kamini Singh's profile →
Citations per field
00.5×1.5×
Kamini Singh · 1×
Citations per year

Countries citing papers authored by Eisaku Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Eisaku Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eisaku Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Eisaku Yoshida. A scholar is included among the top collaborators of Eisaku Yoshida 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 Eisaku Yoshida. Eisaku Yoshida 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 1
2 3
3 8
4 17
5 76
6 440
7 106
8 7
9 10
10 93
11 7
12 15
13 2
14 7
15 9
16 11
17
Induction of topoisomerase I-mediated DNA cleavage by a new indolocarbazole, ED-110.
54
18 3
19
Direct evidence for the expression of integrated hepatitis B virus DNA in human hepatoma tissue.
13
20 40

About Eisaku Yoshida

Eisaku Yoshida is a scholar working on Toxicology, Aging and Biotechnology, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), HER2/EGFR in Cancer Research (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Oncology (517 citations) and Toxicology (51 citations). Eisaku Yoshida has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Akiyoshi Fukamizu, Makoto Miyagishi, Ken Itoh, Masayuki Yamamoto, Yasutake Katoh, Susumu Nishimura, Ikuko Suzuki‐Takahashi, Hideaki Higashi, Masatoshi Kitagawa and Katsuyuki Yaginuma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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