Ryoko Takasawa

1.1k citations
45 papers · 923 indexed · h-index 20
Topics
Cell death mechanisms and regulation (13 papers)Advanced Glycation End Products research (11 papers)Computational Drug Discovery Methods (7 papers)
Journals
SHILAP Revista de lepidopterologíaBiochemical and Biophysical Research CommunicationsFEBS Letters
Partner nations
JapanCanadaNew Zealand

In The Last Decade

Ryoko Takasawa

45 papers receiving 906 citations

Peers

Ryoko Takasawa
Comparison fields: 5 of 95
  • Molecular Biology 486
  • Oncology 165
  • Clinical Biochemistry 133
  • Cancer Research 107
  • Organic Chemistry 85
Replace Atsushi Yoshimori with:
Atsushi Yoshimori Japan
Peng Chu China
Sushabhan Sadhukhan India
Bianca M. Liederer United States
Yong-Seok Heo South Korea
Hwayoung Yun South Korea
Ashu Bhan Tiku India
Yukio Nisimoto Japan
Sumit J. Shah United States
Matthias Wirth Germany
Ryoko Takasawa relative to Atsushi Yoshimori Japan Atsushi Yoshimori's profile →
Citations per field
00.5×1.6×
Atsushi Yoshimori · 1×
Citations per year

Countries citing papers authored by Ryoko Takasawa

Since Specialization
Citations

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

Fields of papers citing papers by Ryoko Takasawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryoko Takasawa

This figure shows the co-authorship network connecting the top 25 collaborators of Ryoko Takasawa. A scholar is included among the top collaborators of Ryoko Takasawa 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 Ryoko Takasawa. Ryoko Takasawa 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 7
3 9
4 15
5 15
6 15
7 5
8 28
9 23
10 42
11 24
12 22
13 56
14 14
15 9
16 21
17 73
18 87
19 19
20 60

About Ryoko Takasawa

Ryoko Takasawa is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Geriatrics and Gerontology, having authored 45 papers that have together received 923 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (13 papers), Advanced Glycation End Products research (11 papers) and Computational Drug Discovery Methods (7 papers). The work is most often cited by research in Clinical Biochemistry (133 citations), Applied Microbiology and Biotechnology (29 citations) and Biochemistry (74 citations). Ryoko Takasawa has collaborated with scholars based in Japan, Canada and New Zealand. Frequent co-authors include Sei‐ichi Tanuma, Sei-ichi Tanuma, Atsushi Yoshimori, Kazunori Saeki, Hiroko Nakamura, Toshio Mori, Eiichi Kimura, Shin Aoki, Satoshi Takahashi and Yasuyuki Yamada. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and FEBS Letters.

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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