Yuko Tsuda

164 papers receiving 2.1k citations

Peers

Yuko Tsuda
Comparison fields: 5 of 130
  • Cellular and Molecular Neuroscience 453
  • Hematology 244
  • Cancer Research 310
  • Geriatrics and Gerontology 72
  • Molecular Biology 957
Replace Bhaskar C. Das with:
Bhaskar C. Das United States
Mushtaq Ahmad United States
Aruto Yoshida Japan
Kristiina M. Huttunen Finland
J. Fred Nagelkerke Netherlands
Stanislovas S. Jankauskas United States
Yajie Wang China
Suzanne M. Cloonan United States
Jose Luis García‐Giménez Spain
Konjeti R. Sekhar United States
Yuko Tsuda relative to Bhaskar C. Das United States Bhaskar C. Das's profile →
Citations per field
00.5×4.1×
Bhaskar C. Das · 1×
Citations per year

Countries citing papers authored by Yuko Tsuda

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuko Tsuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuko Tsuda Line = papers co-authored together Yuko Tsuda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012192
2 2004123
3 199286
4 200446
5 200345
6 200042
7 200442
8 201441
9 200440
10 200440
11 198238
12 201038
13 200736
14 200435
15 200534
16 200233
17 201333
18 200332
19 201431
20 201731

About Yuko Tsuda

Yuko Tsuda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Oncology and Hematology, having authored 166 papers that have together received 2.1k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (36 papers), Neuropeptides and Animal Physiology (30 papers), Protease and Inhibitor Mechanisms (30 papers), Blood Coagulation and Thrombosis Mechanisms (22 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (21 papers), Receptor Mechanisms and Signaling (21 papers), Peptidase Inhibition and Analysis (18 papers) and Enzyme Production and Characterization (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (453 citations), Hematology (244 citations), Cancer Research (310 citations), Geriatrics and Gerontology (72 citations) and Molecular Biology (957 citations). Yuko Tsuda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yoshio Okada, Sharon D. Bryant, Yoshio Okada, Lawrence H. Lazarus, U Okamoto, Akihiro Ambo, Keiko Wanaka, Yunden Jinsmaa, Yusuke Sasaki and Tingyou Li. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Bioorganic & Medicinal Chemistry Letters, Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and Bioorganic & 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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