Sachiko Sugai

533 citations
10 papers · 438 indexed · h-index 6
Topics
Genetic factors in colorectal cancer (4 papers)Colorectal Cancer Treatments and Studies (3 papers)Medical Imaging and Pathology Studies (2 papers)
Partner nations
Japan

In The Last Decade

Sachiko Sugai

10 papers receiving 421 citations

Peers

Sachiko Sugai
Comparison fields: 5 of 60
  • Oncology 270
  • Hepatology 196
  • Surgery 141
  • Molecular Biology 97
  • Pulmonary and Respiratory Medicine 65
Replace Nikol Snoeren with:
Nikol Snoeren Netherlands
Merima Herac Austria
Renay L. Bauer United States
Masayuki Imamura Japan
Masahiro Mise Japan
Robert S. Carver United States
Naofumi Nagasue Japan
G. Catalano Italy
C. van Krimpen Netherlands
Ji-Hai Yu China
Sachiko Sugai relative to Nikol Snoeren Netherlands Nikol Snoeren's profile →
Citations per field
00.5×1.5×1.9×
Nikol Snoeren · 1×
Citations per year

Countries citing papers authored by Sachiko Sugai

Since Specialization
Citations

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

Fields of papers citing papers by Sachiko Sugai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachiko Sugai

This figure shows the co-authorship network connecting the top 25 collaborators of Sachiko Sugai. A scholar is included among the top collaborators of Sachiko Sugai 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 Sachiko Sugai. Sachiko Sugai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2
Recurrence pattern and rapid intraoperative detection of carcinoembryonic antigen (CEA) mRNA in pleural lavage in patients with non-small cell lung cancer (NSCLC).
1
3 36
4 201
5 94
6
[Relationship between autoimmune diseases and malignant cancer-- correlation of Sjogren's syndrome with lymphoma as a model].
1
7
Absence of genetic alteration at codon 531 of the human c-src gene in 479 advanced colorectal cancers from Japanese and Caucasian patients.
40
8 48
9 13
10 2

About Sachiko Sugai

Sachiko Sugai is a scholar working on Pathology and Forensic Medicine, Oncology and Biochemistry, having authored 10 papers that have together received 438 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (4 papers), Colorectal Cancer Treatments and Studies (3 papers) and Medical Imaging and Pathology Studies (2 papers). The work is most often cited by research in Hepatology (196 citations), Oncology (270 citations) and Cancer Research (60 citations). Sachiko Sugai has collaborated with scholars based in Japan. Frequent co-authors include Yo Kato, Norihiro Kokudo, Yoshihiro Sakamoto, Tetsuichiro Muto, Masatoshi Makuuchi, Yoshio Miki, Toshiharu Yamaguchi, Akio Yanagisawa, Junji Yamamoto and Toshiyuki MURAKAMI. Their work appears in journals such as Diseases of the Colon & Rectum, Human Mutation and International Journal of Oncology.

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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