Yurie Watanabe

594 citations
35 papers · 429 indexed · h-index 14
Topics
Computational Drug Discovery Methods (5 papers)Analytical Chemistry and Chromatography (4 papers)Pharmacogenetics and Drug Metabolism (4 papers)
Partner nations
JapanTaiwanUnited States

In The Last Decade

Yurie Watanabe

35 papers receiving 410 citations

Peers

Yurie Watanabe
Comparison fields: 5 of 96
  • Molecular Biology 160
  • Pharmacology 60
  • Computer Graphics and Computer-Aided Design 60
  • Computational Mechanics 54
  • Computer Vision and Pattern Recognition 52
Replace Jun-Ichi Goto with:
Jun-Ichi Goto Japan
S.L.-F. Chan Canada
Yasuhiko Sakamoto Japan
Nobutoshi Ojima Japan
Kushi Anand India
Satpal Singh United States
Wenqi Qiu China
Samir F. El‐Mashtoly Germany
Man-Sun Kim South Korea
Jan Vanggaard Andersen Denmark
Yurie Watanabe relative to Jun-Ichi Goto Japan Jun-Ichi Goto's profile →
Citations per field
00.5×10×15×20×
Jun-Ichi Goto · 1×
Citations per year

Countries citing papers authored by Yurie Watanabe

Since Specialization
Citations

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

Fields of papers citing papers by Yurie Watanabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yurie Watanabe

This figure shows the co-authorship network connecting the top 25 collaborators of Yurie Watanabe. A scholar is included among the top collaborators of Yurie Watanabe 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 Yurie Watanabe. Yurie Watanabe 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 2
3 4
4 10
5 1
6 3
7 13
8 8
9 28
10 25
11 11
12 12
13 14
14 11
15 13
16 29
17 14
18 27
19 11
20 14

About Yurie Watanabe

Yurie Watanabe is a scholar working on Endocrine and Autonomic Systems, Computer Graphics and Computer-Aided Design and Pharmacology, having authored 35 papers that have together received 429 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Analytical Chemistry and Chromatography (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (60 citations), Pharmacology (60 citations) and Endocrine and Autonomic Systems (31 citations). Yurie Watanabe has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Yasuhito Suenaga, Hiroaki Gouda, Akifumi Oda, Noriyuki Yamaotsu, Ohgi Takahashi, Shuichi Hirono, Shuichi Fukuyoshi, Masahiro Hiratsuka, Naoki Toyooka and Y. Okada. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Medicinal Chemistry.

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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