Haruko Kunitomi

465 citations
17 papers · 311 · h-index 9

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Ovarian cancer diagnosis and treatment

Papers in

    • Cancer, Lipids, and Metabolism 4
    • Cancer Genomics and Diagnostics 3
    • Cancer, Hypoxia, and Metabolism 2

Haruko Kunitomi

17 papers receiving 307 citations

Peers

Haruko Kunitomi
Comparison fields: 5 of 65
  • Cancer Research 112
  • Reproductive Medicine 35
  • Obstetrics and Gynecology 22
  • Molecular Biology 183
  • Oncology 71
Replace Asaha Fujimoto with:
Asaha Fujimoto Japan
Jinxiao Liang China
Mitsuyo Yoshida Japan
Xiangyan Jiang China
Victoria Heredia-Soto Spain
Jodi A. McKenzie United States
Michael Jewer Canada
Perrine Garde‐Granger Canada
Herta Bettendorf Germany
Kristen Bunch United States
Haruko Kunitomi relative to Asaha Fujimoto Japan Asaha Fujimoto's profile →
Citations per field
00.5×1.5×2.2×
Asaha Fujimoto · 1×
Citations per year

Countries citing papers authored by Haruko Kunitomi

Since Specialization
Citations

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

Fields of papers citing papers by Haruko Kunitomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201747
2 201940
3 202340
4 201939
5 201832
6 201830
7 201730
8 202012
9 201611
10 20178
11 20187
12 20226
13 20203
14 20162
15 20192
16 20201
17 20171

About Haruko Kunitomi

Haruko Kunitomi is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Surgery, having authored 17 papers that have together received 311 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (4 papers), Genetic factors in colorectal cancer (3 papers), Cancer Genomics and Diagnostics (3 papers), Gynecological conditions and treatments (2 papers), Cellular Mechanics and Interactions (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Cancer Research (112 citations), Reproductive Medicine (35 citations), Obstetrics and Gynecology (22 citations), Molecular Biology (183 citations) and Oncology (71 citations). Haruko Kunitomi has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Kouji Banno, Daisuke Aoki, Yusuke Kobayashi, Eiichiro Tominaga, Takashi Takeda, K. Nakamura, Kosuke Tsuji, Masataka Adachi, Ren‐Chin Wu and Hideyuki Saya. Their work appears in journals such as Journal of Gynecologic Oncology, European Journal of Cancer Prevention, Japanese Journal of Clinical Oncology, European Journal of Medical Genetics and Nature.

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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