Toru Suzuki

2.3k citations
82 papers · 1.7k indexed · h-index 23
Topics
Reproductive Biology and Fertility (8 papers)Experimental Behavioral Economics Studies (7 papers)Pluripotent Stem Cells Research (6 papers)

In The Last Decade

Toru Suzuki

78 papers receiving 1.7k citations

Peers

Toru Suzuki
Comparison fields: 5 of 147
  • Molecular Biology 938
  • Public Health, Environmental and Occupational Health 240
  • Genetics 211
  • Cancer Research 193
  • Immunology 145
Replace Hsi‐Hui Lin with:
Hsi‐Hui Lin Taiwan
Anto De Pol Italy
Xin Fu China
Masahiro Sakurai Japan
Christopher P. Miller United States
Angela Catizone Italy
David Holmes United States
Štefan Polák Slovakia
Nicolas Caron Canada
Jie Na China
Toru Suzuki relative to Hsi‐Hui Lin Taiwan Hsi‐Hui Lin's profile →
Citations per field
00.5×1.5×1.9×
Hsi‐Hui Lin · 1×
Citations per year

Countries citing papers authored by Toru Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Toru Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Suzuki. A scholar is included among the top collaborators of Toru 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 Toru Suzuki. Toru 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 0
2 1
3 14
4 8
5 13
6 32
7 21
8 2
9 56
10 3
11 42
12 77
13 5
14 34
15
Transcriptional activation by acetylation of the transcription factor IKLF/BTEB2 by p300
1
16
Basic Models of Demographic Translation
2
17 3
18 2
19
CONSTRUCTION OF VIRTUAL TOWN AND DRIVING SIMULATION IN IT USING GRAPHICS WORKSTATION
1
20
Prepubertal XY gonadal dysgenesis.
16

About Toru Suzuki

Toru Suzuki is a scholar working on General Decision Sciences, Safety Research and Rehabilitation, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), Experimental Behavioral Economics Studies (7 papers) and Pluripotent Stem Cells Research (6 papers). The work is most often cited by research in Molecular Biology (938 citations), Cancer Research (193 citations) and Reproductive Medicine (91 citations). Toru Suzuki has collaborated with scholars based in Japan, United Kingdom and Australia. Frequent co-authors include Naojiro Minami, Anthony C.F. Perry, Satoshi Tsukamoto, Masami Horikoshi, Akatsuki Kimura, Hiroshi Imai, Emi Suzuki, Ryozo Nagai, Maki Asami and Atsushi Takeda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Materials.

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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