Taichiro Yoshimoto

1.1k citations
37 papers · 889 indexed · h-index 17
Topics
Cancer-related gene regulation (6 papers)Renal and related cancers (5 papers)Renal cell carcinoma treatment (4 papers)
Partner nations
JapanUnited KingdomChina

In The Last Decade

Taichiro Yoshimoto

33 papers receiving 871 citations

Peers

Taichiro Yoshimoto
Comparison fields: 5 of 58
  • Molecular Biology 574
  • Cancer Research 371
  • Pulmonary and Respiratory Medicine 258
  • Oncology 165
  • Surgery 100
Replace Federica Torricelli with:
Federica Torricelli Italy
Matti Juhola Finland
Romina Sepe Italy
Min Sung Kim South Korea
Carlos Mackintosh Spain
Stephanie J. McAlhany United States
Heather Hardin United States
Zengli Liu China
Fujun Zhao China
L.W. Chu United States
Taichiro Yoshimoto relative to Federica Torricelli Italy Federica Torricelli's profile →
Citations per field
00.5×1.5×2.4×
Federica Torricelli · 1×
Citations per year

Countries citing papers authored by Taichiro Yoshimoto

Since Specialization
Citations

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

Fields of papers citing papers by Taichiro Yoshimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taichiro Yoshimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Taichiro Yoshimoto. A scholar is included among the top collaborators of Taichiro Yoshimoto 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 Taichiro Yoshimoto. Taichiro Yoshimoto 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 0
2 0
3 0
4 2
5 13
6 3
7 21
8 3
9 17
10 6
11 69
12 58
13 39
14 236
15 60
16 36
17
Homozygous deletion of the MTS1/p16 and MTS2/p15 genes and amplification of the CDK4 gene in glioma.
52
18
The Metabolism of Cultured Glioma Cells in Relation to the Cell Kinetics
1
19 6
20
[Pituitary apoplexy of giant pituitary adenoma--case report (author's transl)].
2

About Taichiro Yoshimoto

Taichiro Yoshimoto is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 37 papers that have together received 889 indexed citations. Recurring topics across this work include Cancer-related gene regulation (6 papers), Renal and related cancers (5 papers) and Renal cell carcinoma treatment (4 papers). The work is most often cited by research in Cancer Research (371 citations), Molecular Biology (574 citations) and Pulmonary and Respiratory Medicine (258 citations). Taichiro Yoshimoto has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Keiko Matsuura, Hiromitsu Mimata, Fuminori Sato, Chisato Nakada, Yoshiyuki Tsukamoto, Masato Tanigawa, Hidetoshi Ikeda, Takahiro Narimatsu, Naoki Hijiya and Toshiro Niki. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Neuroscience.

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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