Sayaka Sato

1.2k citations
41 papers · 876 indexed · h-index 16
Topics
Complement system in diseases (15 papers)Renal Diseases and Glomerulopathies (8 papers)Gastric Cancer Management and Outcomes (5 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBlood
Partner nations
JapanUnited StatesChina

In The Last Decade

Sayaka Sato

41 papers receiving 861 citations

Peers

Sayaka Sato
Comparison fields: 5 of 102
  • Immunology 370
  • Molecular Biology 223
  • Nephrology 152
  • Hematology 109
  • Pulmonary and Respiratory Medicine 88
Replace N Tamura with:
N Tamura Japan
Roberto Salvi Switzerland
Dagmara McGuinness United Kingdom
Mark D. Jäger Germany
J Hamburger France
Harry Cuppens Belgium
Philip E. Schaner United States
Seok‐Rae Park South Korea
Wei Hseun Yeap Singapore
Linh Pham United States
Sayaka Sato relative to N Tamura Japan N Tamura's profile →
Citations per field
00.5×7.3×
N Tamura · 1×
Citations per year

Countries citing papers authored by Sayaka Sato

Since Specialization
Citations

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

Fields of papers citing papers by Sayaka Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayaka Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Sayaka Sato. A scholar is included among the top collaborators of Sayaka Sato 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 Sayaka Sato. Sayaka Sato 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 1
3 2
4 1
5 1
6 1
7 6
8 44
9 26
10 17
11 69
12
Profiling of serum proteins influenced by warm partner contact in healthy couples.
11
13 11
14 27
15 36
16 63
17 67
18 9
19 46
20
[Clinical effects of allylestrenol on benign prostatic hypertrophy by double-blind method].
7

About Sayaka Sato

Sayaka Sato is a scholar working on Nephrology, Immunology and Hematology, having authored 41 papers that have together received 876 indexed citations. Recurring topics across this work include Complement system in diseases (15 papers), Renal Diseases and Glomerulopathies (8 papers) and Gastric Cancer Management and Outcomes (5 papers). The work is most often cited by research in Nephrology (152 citations), Immunology (370 citations) and Hematology (109 citations). Sayaka Sato has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Wen‐Chao Song, Takashi Miwa, Damodar Gullipalli, Mitsunobu Nakamura, Kazushige Yamana, Yusuke Ohtani, Hidehiko Nakano, Yoshiyasu Ueda, Shinichi Kakumu and Masaomi Nangaku. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

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

Rankless by CCL
2026