Masasuke Ohno

1.5k citations
42 papers · 972 · h-index 18

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

Masasuke Ohno

38 papers receiving 959 citations

Peers

Masasuke Ohno
Comparison fields: 5 of 90
  • Genetics 184
  • Oncology 429
  • Immunology 255
  • Cancer Research 136
  • Developmental Neuroscience 30
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Citations per field
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Citations per year

Countries citing papers authored by Masasuke Ohno

Since Specialization
Citations

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

Fields of papers citing papers by Masasuke Ohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Analysis of mammalian connective tissue: relationship between hierarchical structures and mechanical properties.
1992113
2 201387
3 201680
4 201255
5 201553
6 201051
7 201151
8 201149
9 202246
10 200941
11 200941
12 200941
13 200940
14 200938
15 200729
16 201225
17 201424
18 201318
19 199014
20
[Weight reduction improves high blood pressure and microalbuminuria in hypertensive patients with obesity].
200112

About Masasuke Ohno

Masasuke Ohno is a scholar working on Oncology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Epidemiology, having authored 42 papers that have together received 972 indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Glioma Diagnosis and Treatment (8 papers), Brain Metastases and Treatment (5 papers), Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (4 papers), Acute Ischemic Stroke Management (4 papers), Cancer-related molecular mechanisms research (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Genetics (184 citations), Oncology (429 citations), Immunology (255 citations), Cancer Research (136 citations) and Developmental Neuroscience (30 citations). Masasuke Ohno has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Atsushi Natsume, Toshihiko Wakabayashi, Frederick H. Silver, Arthur J. Wasserman, Yu Kato, Kazuya Motomura, Hideho Okada, Motokazu Ito, Kuniaki Tanahashi and Shinji Shimato. Their work appears in journals such as Cancer Gene Therapy, Neurosurgery, Radiation Protection Dosimetry, Molecular Therapy — Oncolytics and Japanese Journal of Clinical Oncology.

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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