Naoki Ogane

554 citations
26 papers · 444 · h-index 14

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 3
    • Cancer-related Molecular Pathways 3
    • Cancer, Hypoxia, and Metabolism 6

Naoki Ogane

26 papers receiving 435 citations

Peers

Naoki Ogane
Comparison fields: 5 of 55
  • Reproductive Medicine 87
  • Obstetrics and Gynecology 66
  • Cancer Research 125
  • Oncology 97
  • Pathology and Forensic Medicine 61
Replace Alessandro Villanucci with:
Alessandro Villanucci Italy
Ruifen Dong China
Morio Sawada Japan
Liangdan Tang China
Katie A. Ashton Australia
Bibo Yuan China
Bilan Li China
Raquel Ramírez‐Moreno Spain
Hong Im Kim United States
Yuan Zhao China
Naoki Ogane relative to Alessandro Villanucci Italy Alessandro Villanucci's profile →
Citations per field
00.5×4.6×
Alessandro Villanucci · 1×
Citations per year

Countries citing papers authored by Naoki Ogane

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Ogane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200870
2 201942
3 201839
4 201927
5 200527
6 201025
7 201025
8 201223
9 201421
10 200819
11 201316
12 201315
13 201613
14 202013
15 202113
16
Organic cation transporter 2 for predicting cisplatin-based neoadjuvant chemotherapy response in gastric cancer.
201512
17 200010
18 20188
19 20056
20 20155

About Naoki Ogane

Naoki Ogane is a scholar working on Oncology, Cancer Research, Molecular Biology, Surgery and Pathology and Forensic Medicine, having authored 26 papers that have together received 444 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Drug Transport and Resistance Mechanisms (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Cancer-related Molecular Pathways (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cervical Cancer and HPV Research (2 papers). The work is most often cited by research in Reproductive Medicine (87 citations), Obstetrics and Gynecology (66 citations), Cancer Research (125 citations), Oncology (97 citations) and Pathology and Forensic Medicine (61 citations). Naoki Ogane has collaborated with scholars based in Japan and Australia. Frequent co-authors include Masanori Yasuda, Masaki Miyazawa, Mitsutake Yano, Yoichi Kameda, Kosei Hasegawa, Shingo Kamoshida, Hisashi Narahara, R. Yoshiyuki Osamura, Hiroshi Kajiwara and Mikio Mikami. Their work appears in journals such as Modern Pathology, Anticancer Research, Oncology Reports, Diagnostic Cytopathology and Diagnostic Pathology.

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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