T. Saeki

1.2k citations
60 papers · 1.0k · h-index 19

Impact in

Papers in

    • Phosphodiesterase function and regulation 7
    • Peroxisome Proliferator-Activated Receptors 4
    • Cholesterol and Lipid Metabolism 10
    • Lipoproteins and Cardiovascular Health 6
    • Pancreatic function and diabetes 4

T. Saeki

58 papers receiving 970 citations

Peers

T. Saeki
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 211
  • Organic Chemistry 212
  • Molecular Biology 403
  • Surgery 217
  • Pharmacology 75
Replace Dac M. Dinh with:
Dac M. Dinh United States
Sampath Parthasarathy United States
Korekiyo Wakitani Japan
Kazuharu Ienaga Japan
Yoshimi Imura Japan
Fuyong Du United States
Bryan F. Burkey United States
Masami Nemoto Japan
Philip A. Carpino United States
Nobuyuki Negoro Japan
T. Saeki relative to Dac M. Dinh United States Dac M. Dinh's profile →
Citations per field
00.5×1.5×
Dac M. Dinh · 1×
Citations per year

Countries citing papers authored by T. Saeki

Since Specialization
Citations

This map shows the geographic impact of T. Saeki'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 T. Saeki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Saeki more than expected).

Fields of papers citing papers by T. Saeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002118
2 199489
3 199762
4 199559
5 200453
6 200053
7 199341
8 200338
9 199733
10 199829
11 199428
12 200127
13 199327
14 200424
15 200724
16 198123
17 200020
18 199320
19 197420
20 199318

About T. Saeki

T. Saeki is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Organic Chemistry and Endocrinology, Diabetes and Metabolism, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (10 papers), Antiplatelet Therapy and Cardiovascular Diseases (9 papers), Phosphodiesterase function and regulation (7 papers), Diabetes Treatment and Management (7 papers), Lipoproteins and Cardiovascular Health (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Peptidase Inhibition and Analysis (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (211 citations), Organic Chemistry (212 citations), Molecular Biology (403 citations), Surgery (217 citations) and Pharmacology (75 citations). T. Saeki has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Isao Saito, Nobuyuki Yasuda, Yasutaka Takase, Tadashi Nagakura, Takashi Inoue, Kazuto Yamazaki, Isao Tanaka, Kazunobu Kira, Akihiro Ishii and Hiroshi Tanaka. Their work appears in journals such as European Journal of Pharmacology, Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, Atherosclerosis and Journal of Lipid Research.

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.

Explore authors with similar magnitude of impact