Haruhiko Sugimura

18.1k citations
405 papers · 12.4k indexed · h-index 58

Impact in

Papers in

Haruhiko Sugimura

393 papers receiving 12.2k citations

Peers

Haruhiko Sugimura
Comparison fields: 5 of 150
  • Cancer Research 2.6k
  • Oncology 3.0k
  • Molecular Biology 7.2k
  • Pathology and Forensic Medicine 1.6k
  • Cell Biology 1.1k
Replace Yoshitaka Sekido with:
Yoshitaka Sekido Japan
R. Daniel Beauchamp United States
Hiroki Kuniyasu Japan
Masanobu Oshima Japan
Hanina Hibshoosh United States
Keping Xie United States
Thomas Kirchner Germany
Koshi Mimori Japan
Masato Sakon Japan
Holger Kalthoff Germany
Haruhiko Sugimura relative to Yoshitaka Sekido Japan Yoshitaka Sekido's profile →
Citations per field
00.5×1.7×
Yoshitaka Sekido · 1×
Citations per year

Countries citing papers authored by Haruhiko Sugimura

Since Specialization
Citations

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

Fields of papers citing papers by Haruhiko Sugimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 202224
4 202127
5 20181
6 20181
7 201711
8 201718
9 20175
10 20176
11 201512
12 201511
13 201213
14 200986
15 200932
16 200870
17 200832
18
Human sgo1 down-regulation leads to chromosomal instability in human colorectal cancer cells
20080
19
Modeling and analysis of drug concentration-effect and time course patterns in gene expression data from microarray experiments.
20053
20 2001125

About Haruhiko Sugimura

Haruhiko Sugimura is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Gastroenterology and Molecular Biology, having authored 405 papers that have together received 12.4k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (59 papers), Cancer Genomics and Diagnostics (35 papers), DNA Repair Mechanisms (33 papers), Lung Cancer Treatments and Mutations (31 papers), Helicobacter pylori-related gastroenterology studies (30 papers), RNA modifications and cancer (28 papers), Cancer-related Molecular Pathways (28 papers) and Gastric Cancer Management and Outcomes (27 papers). The work is most often cited by research in Cancer Research (2.6k citations), Oncology (3.0k citations), Molecular Biology (7.2k citations), Pathology and Forensic Medicine (1.6k citations) and Cell Biology (1.1k citations). Haruhiko Sugimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuya Shinmura, Hisaki Igarashi, Masamitsu Tanaka, Etsuko Kiyokawa, Takahisa Furuta, Jun Yokota, Michiyuki Matsuda, Yuko Hashimoto, Takeshi Kurata and Curtis C. Harris. Their work appears in journals such as Pathology International, Cancer Science, Japanese Journal of Clinical Oncology, Oncogene and Carcinogenesis.

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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