Yutaka Suzuki

26.4k citations
324 papers · 11.4k indexed · 3 hit papers · h-index 53
Topics
RNA modifications and cancer (67 papers)RNA Research and Splicing (57 papers)Genomics and Chromatin Dynamics (50 papers)

In The Last Decade

Yutaka Suzuki

308 papers receiving 11.2k citations

Hit Papers

A transcription factor response element for gene expressi...2002202620102018200220102012200400600

Peers

Yutaka Suzuki
Comparison fields: 5 of 164
  • Molecular Biology 7.7k
  • Cancer Research 2.0k
  • Immunology 1.1k
  • Plant Science 1.1k
  • Genetics 1.1k
Replace Sumio Sugano with:
Sumio Sugano Japan
Max W. Chang United States
Michael P. Myers United States
Patrick Descombes Switzerland
John R. Walker United States
Hiroshi Kimurâ Japan
Pascal Barbry France
Matthias Platzer Germany
Chad A. Shaw United States
Axel Imhof Germany
Yutaka Suzuki relative to Sumio Sugano Japan Sumio Sugano's profile →
Citations per field
00.5×1.5×2.3×
Sumio Sugano · 1×
Citations per year

Countries citing papers authored by Yutaka Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Yutaka Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yutaka Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of Yutaka Suzuki. A scholar is included among the top collaborators of Yutaka 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 Yutaka Suzuki. Yutaka 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 1
2 1
3 1
4 5
5 13
6 18
7 13
8 1
9 30
10 15
11 39
12 34
13 60
14 25
15 23
16 64
17 19
18 139
19 104
20
A transcription factor response element for gene expression during circadian nightbreakdown →
709

About Yutaka Suzuki

Yutaka Suzuki is a scholar working on Cancer Research, Molecular Biology and Aging, having authored 324 papers that have together received 11.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (67 papers), RNA Research and Splicing (57 papers) and Genomics and Chromatin Dynamics (50 papers). The work is most often cited by research in Aging (352 citations), Cancer Research (2.0k citations) and Endocrine and Autonomic Systems (896 citations). Yutaka Suzuki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Sumio Sugano, Kenta Nakai, Riu Yamashita, Hajime Nakajima, Akira Suyama, Nobuyoshi Akimitsu, Masahide Seki, Satoshi Inoue, Ayako Suzuki and Hidenori Tani. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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