Takashi Sasaki

21.3k citations
244 papers · 10.9k indexed · 1 hit paper · h-index 57

Takashi Sasaki

235 papers receiving 10.6k citations

Hit Papers

Role of TBX1 in human del22q11.2 syndrome5822003202620102018100200300400500

Peers

Takashi Sasaki
Comparison fields: 5 of 174
  • Genetics 2.7k
  • Clinical Biochemistry 637
  • Immunology and Allergy 526
  • Infectious Diseases 1.6k
  • Dermatology 696
Replace David M. Underhill with:
David M. Underhill United States
Nisse Kalkkinen Finland
Tadashi Baba Japan
Jan Buer Germany
Hubert Kalbacher Germany
Tsuneyasu Kaisho Japan
Kenneth L. Rock United States
John Trowsdale United Kingdom
Edward J. Pearce United States
David Schlessinger United States
Takashi Sasaki relative to David M. Underhill United States David M. Underhill's profile →
Citations per field
00.5×1.5×2.4×
David M. Underhill · 1×
Citations per year

Countries citing papers authored by Takashi Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takashi Sasaki, 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 Takashi Sasaki Line = papers co-authored together Takashi Sasaki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20242
4 20240
5 20238
6 20234
7 20236
8 20225
9 20220
10 20216
11 20213
12 202082
13 202012
14 201933
15 201884
16 2017105
17 20135
18 20081
19 20076
20
Map-based cloning of Ps1, a gene for pollen abortion in rice.
20031

About Takashi Sasaki

Takashi Sasaki is a scholar working on Clinical Biochemistry, Aging, Genetics, Infectious Diseases and Immunology and Allergy, having authored 244 papers that have together received 10.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (28 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers), Bacterial biofilms and quorum sensing (17 papers), Chromosomal and Genetic Variations (16 papers), Bacterial Identification and Susceptibility Testing (16 papers), Plant Disease Resistance and Genetics (14 papers), Phosphodiesterase function and regulation (14 papers) and Dermatology and Skin Diseases (11 papers). The work is most often cited by research in Genetics (2.7k citations), Clinical Biochemistry (637 citations), Immunology and Allergy (526 citations), Infectious Diseases (1.6k citations) and Dermatology (696 citations). Takashi Sasaki has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masahiro Yano, Keiichi Hiramatsu, Nobuyoshi Shimizu, Satoshi Minoshima, Yoshikazu Tanaka, Aiko Shiohama, Jun Kotera, Kenji Omori, Shuichi Asakawa and Atsushi Shimizu. Their work appears in journals such as Theoretical and Applied Genetics, Antimicrobial Agents and Chemotherapy, Journal of Bacteriology, Biochemical and Biophysical Research Communications and Journal of Investigative Dermatology.

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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2026