Mitsuyo Ohmura

3.0k citations
17 papers · 1.2k indexed · h-index 13
    • Cancer, Hypoxia, and Metabolism 4
    • Metabolomics and Mass Spectrometry Studies 2
    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Glycosylation and Glycoproteins Research 1
  • Oncology top 10%
    • Cancer Cells and Metastasis 4
  • Biochemistry top 10%
    • Mass Spectrometry Techniques and Applications 3
    • Advanced Proteomics Techniques and Applications 2
    • Cancer Research and Treatments 3

Mitsuyo Ohmura

17 papers receiving 1.2k citations

Peers

Mitsuyo Ohmura
Comparison fields: 5 of 90
  • Cancer Research 365
  • Molecular Biology 810
  • Oncology 295
  • Biochemistry 71
  • Spectroscopy 153
Replace Ruben Boon with:
Ruben Boon Belgium
Dorien Broekaert Belgium
Meital Gabay United States
Kundan Sengupta India
Hui Zeng China
Brian P. Fiske United States
Daniel Ackerman United States
Kate E.R. Hollinshead United States
Sharanya Sivanand United States
Suveera Dhup Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Mitsuyo Ohmura

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuyo Ohmura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 201967
2 201619
3 2014195
4 201417
5 201425
6 201352
7 201359
8
Lewis lung carcinoma progression is facilitated by TIG-3 fibroblast cells.
20132
9 2012213
10 2012311
11 201149
12 201125
13 20108
14 201098
15 20101
16 20099
17 199916

About Mitsuyo Ohmura

Mitsuyo Ohmura is a scholar working on Biotechnology, Cancer Research and Physiology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Cancer Cells and Metastasis (4 papers), Cancer Research and Treatments (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (365 citations), Molecular Biology (810 citations) and Oncology (295 citations). Mitsuyo Ohmura has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Makoto Suematsu, Akiko Kubo, Takehiro Yamamoto, Hideyuki Saya, Takako Hishiki, Toshifumi Yae, Osamu Nagano, Takatsugu Ishimoto, Tomomi Matsuura and Yoshiko Nagahata. Their work appears in journals such as Cancer Research, Nature Communications, Molecular Cancer Research, Analytical and Bioanalytical Chemistry and Molecular Cancer.

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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