Takashi Suzuki

23.7k citations
536 papers · 18.8k indexed · h-index 71
Topics
Estrogen and related hormone effects (162 papers)Hormonal Regulation and Hypertension (66 papers)Breast Cancer Treatment Studies (37 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Takashi Suzuki

521 papers receiving 18.5k citations

Peers

Takashi Suzuki
Comparison fields: 5 of 161
  • Molecular Biology 7.2k
  • Genetics 5.1k
  • Oncology 3.9k
  • Cancer Research 3.6k
  • Endocrinology, Diabetes and Metabolism 3.1k
Replace Shigeaki Kato with:
Shigeaki Kato Japan
Donald P. McDonnell United States
Ellis R. Levin United States
Malcolm G. Parker United Kingdom
Chawnshang Chang United States
Sebastiano Andò Italy
Walter L. Miller United States
Philip W. Shaul United States
Gail S. Prins United States
Bart van der Burg Netherlands
Takashi Suzuki relative to Shigeaki Kato Japan Shigeaki Kato's profile →
Citations per field
00.5×1.5×
Shigeaki Kato · 1×
Citations per year

Countries citing papers authored by Takashi Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takashi Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Suzuki. A scholar is included among the top collaborators of Takashi Suzuki 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 Takashi Suzuki. Takashi Suzuki 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 0
3 1
4 4
5 1
6 2
7 10
8 30
9 15
10 22
11 34
12 64
13 74
14 12
15 53
16 51
17 56
18 37
19 96
20 62

About Takashi Suzuki

Takashi Suzuki is a scholar working on Cancer Research, Genetics and Endocrinology, Diabetes and Metabolism, having authored 536 papers that have together received 18.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (162 papers), Hormonal Regulation and Hypertension (66 papers) and Breast Cancer Treatment Studies (37 papers). The work is most often cited by research in Cancer Research (3.6k citations), Reproductive Medicine (1.8k citations) and Endocrinology, Diabetes and Metabolism (3.1k citations). Takashi Suzuki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hironobu Sasano, Yasuhiro Miki, Takuya Moriya, Takanori Ishida, Jun‐ichi Akahira, Satoshi Inoue, Noriaki Ohuchi, Kiyoshi Takagi, Yasuhiro Nakamura and Chika Kaneko. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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