Hideaki Mitsui

1.1k citations
47 papers · 863 · h-index 18

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Lung Cancer Research Studies

Papers in

Hideaki Mitsui

46 papers receiving 850 citations

Peers

Hideaki Mitsui
Comparison fields: 5 of 79
  • Cancer Research 206
  • Oncology 320
  • Pulmonary and Respiratory Medicine 290
  • Molecular Biology 393
  • Microbiology 4
Replace Toshio Fujino with:
Toshio Fujino Japan
Yuho Maki Japan
Hideki Terai Japan
Shane K. Green Canada
Joachim Bellach Germany
Shinji Ozaki Japan
Sónia Gatius Spain
Yutaka Tagawa Japan
Y. Ichinose Japan
Hideaki Mitsui relative to Toshio Fujino Japan Toshio Fujino's profile →
Citations per field
00.5×9.2×
Toshio Fujino · 1×
Citations per year

Countries citing papers authored by Hideaki Mitsui

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Mitsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200986
2 201276
3 201275
4
Prognostic value of CD133 expression in stage I lung adenocarcinomas.
201058
5 201054
6 200239
7
Downregulation of ALDH1A1 expression in non-small cell lung carcinomas--its clinicopathologic and biological significance.
201336
8 200932
9 197431
10 199930
11 201527
12 200925
13 201824
14 201422
15 201622
16
Expression of HDAC9 in lung cancer--potential role in lung carcinogenesis.
201421
17 201019
18 202018
19 201413
20 199713

About Hideaki Mitsui

Hideaki Mitsui is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Surgery, having authored 47 papers that have together received 863 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Lung Cancer Research Studies (7 papers), RNA modifications and cancer (6 papers), Medical Imaging and Pathology Studies (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), COVID-19 diagnosis using AI (3 papers), Cancer Cells and Metastasis (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (206 citations), Oncology (320 citations), Pulmonary and Respiratory Medicine (290 citations), Molecular Biology (393 citations) and Microbiology (4 citations). Hideaki Mitsui has collaborated with scholars based in Japan. Frequent co-authors include Koji Okudela, Michihiko Tajiri, Munetaka Masuda, Tetsukan Woo, Kenichi Ohashi, Hitoshi Kitamura, Takuya Yazawa, Nobuo Ogawa, Takehisa Suzuki and Yasushi Rino. Their work appears in journals such as Pathology International, American Journal Of Pathology, PLoS ONE, Histopathology and Oncology Reports.

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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