Soichi Wakatsuki

10.7k citations
169 papers · 7.7k indexed · 3 hit papers · h-index 49
Topics
Enzyme Structure and Function (43 papers)Cellular transport and secretion (25 papers)Glycosylation and Glycoproteins Research (22 papers)

In The Last Decade

Soichi Wakatsuki

164 papers receiving 7.6k citations

Hit Papers

Ubiquitin-binding domains — from structures to functions2009202620142020200920092014200400600

Peers

Soichi Wakatsuki
Comparison fields: 5 of 151
  • Molecular Biology 5.0k
  • Cell Biology 1.8k
  • Epidemiology 1.4k
  • Immunology 1.1k
  • Oncology 766
Replace Anastassis Perrakis with:
Anastassis Perrakis Netherlands
Phil Evans United Kingdom
Morten Kjeldgaard Denmark
Philip R. Evans United Kingdom
Andrey A. Lebedev United Kingdom
Roberto A. Steiner United Kingdom
Tom Alber United States
E. J. Dodson United Kingdom
Petr V. Konarev Russia
A. Teplyakov United States
Soichi Wakatsuki relative to Anastassis Perrakis Netherlands Anastassis Perrakis's profile →
Citations per field
00.5×1.5×
Anastassis Perrakis · 1×
Citations per year

Countries citing papers authored by Soichi Wakatsuki

Since Specialization
Citations

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

Fields of papers citing papers by Soichi Wakatsuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soichi Wakatsuki

This figure shows the co-authorship network connecting the top 25 collaborators of Soichi Wakatsuki. A scholar is included among the top collaborators of Soichi Wakatsuki 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 Soichi Wakatsuki. Soichi Wakatsuki 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 3
2 2
3 3
4 4
5 5
6 18
7 88
8 20
9 7
10 1
11 50
12 30
13 48
14 136
15 48
16 27
17 19
18
LB-17A,放射光施設の新しい蛋白質微結晶学ビームライン
1
19 97
20 11

About Soichi Wakatsuki

Soichi Wakatsuki is a scholar working on Structural Biology, Cell Biology and Physiology, having authored 169 papers that have together received 7.7k indexed citations. Recurring topics across this work include Enzyme Structure and Function (43 papers), Cellular transport and secretion (25 papers) and Glycosylation and Glycoproteins Research (22 papers). The work is most often cited by research in Cell Biology (1.8k citations), Structural Biology (125 citations) and Physiology (399 citations). Soichi Wakatsuki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Ivan Đikić, Ryuichi Kato, Masato Kawasaki, Kylie J. Walters, Kazuhisa Nakayama, Noriyuki Igarashi, Naohiro Matsugaki, T. Shiba, H. Suzuki and Simin Rahighi. Their work appears in journals such as Nature, Cell 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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