Emi Sato

55 papers receiving 771 citations

Peers

Emi Sato
Comparison fields: 5 of 96
  • Dermatology 117
  • Microbiology 61
  • Obstetrics and Gynecology 64
  • Immunology 177
  • Reproductive Medicine 62
Replace Soo Min Kim with:
Soo Min Kim South Korea
Jeffrey L. Killeen United States
Yafei Zhang China
Alessandra Vernaglia Lombardi Italy
Iztok Takač Slovenia
Badreddine Sriha Tunisia
Tetsu Sato Japan
Tobias M. Weissenbacher Germany
Charles F. Brown United States
Margarida Figueiredo-Dias Portugal
Emi Sato relative to Soo Min Kim South Korea Soo Min Kim's profile →
Citations per field
00.5×5×10×15×20.7×
Soo Min Kim · 1×
Citations per year

Countries citing papers authored by Emi Sato

Since Specialization
Citations

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

Fields of papers citing papers by Emi Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016159
2 201552
3 201343
4 201243
5 201528
6 201625
7 201624
8 201824
9 201323
10 198621
11
High Pre-treatment Plasma D-Dimer Level as a Potential Prognostic Biomarker for Cervical Carcinoma.
201620
12 201520
13 200120
14 201619
15 201718
16 202416
17 200815
18 201415
19 201815
20 201613

About Emi Sato

Emi Sato is a scholar working on Dermatology, Reproductive Medicine, Obstetrics and Gynecology, Pathology and Forensic Medicine and Immunology and Allergy, having authored 65 papers that have together received 786 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (10 papers), Ovarian cancer diagnosis and treatment (9 papers), Endometrial and Cervical Cancer Treatments (6 papers), Autoimmune Bullous Skin Diseases (5 papers), Endometriosis Research and Treatment (4 papers), RNA Interference and Gene Delivery (3 papers), Hair Growth and Disorders (3 papers) and Allergic Rhinitis and Sensitization (3 papers). The work is most often cited by research in Dermatology (117 citations), Microbiology (61 citations), Obstetrics and Gynecology (64 citations), Immunology (177 citations) and Reproductive Medicine (62 citations). Emi Sato has collaborated with scholars based in Japan, United States and Philippines. Frequent co-authors include Shinichi Imafuku, Kentaro Nakayama, Masako Ishikawa, Tomoka Ishibashi, Satoru Kyo, Richard L. Gallo, Kohei Nakamura, Hiroshi Katagiri, Ling‐juan Zhang and Christopher A. Adase. Their work appears in journals such as The Journal of Dermatology, Journal of Investigative Dermatology, International Journal of Molecular Sciences, International Journal of Oncology and Journal of Public Health.

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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