Kazuo Ōno

947 citations
77 papers · 690 · h-index 13

Impact in

Papers in

    • Viral-associated cancers and disorders 5
    • Vascular Tumors and Angiosarcomas 4
    • Multiple Myeloma Research and Treatments 5
    • Acute Myeloid Leukemia Research 5
    • Platelet Disorders and Treatments 4

Kazuo Ōno

73 papers receiving 662 citations

Peers

Kazuo Ōno
Comparison fields: 5 of 88
  • Gastroenterology 71
  • Biochemistry 38
  • Pulmonary and Respiratory Medicine 152
  • Clinical Biochemistry 33
  • Hematology 48
Replace Sun Hee Chang with:
Sun Hee Chang South Korea
J. C. O’Keane Ireland
Masakazu Abe Japan
Kyra B. Berg Canada
Toru Igari Japan
Monica D. Traystman United States
Nicole C. Panarelli United States
Anna Pituch‐Noworolska Poland
Boris Elsner Argentina
André Hoerning Germany
Kazuo Ōno relative to Sun Hee Chang South Korea Sun Hee Chang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kazuo Ōno

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Ōno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200268
2 200565
3 200651
4
The prevalence of type 2 diabetes mellitus and impaired fasting glucose in semi-urban population of Nepal.
200742
5 200038
6 201635
7 201833
8 199726
9 197523
10 199319
11 199013
12 200113
13 202012
14 195312
15 202011
16 201911
17 199210
18 20189
19 20209
20 20179

About Kazuo Ōno

Kazuo Ōno is a scholar working on Oncology, Hematology, Surgery, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 77 papers that have together received 690 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Biochemical Acid Research Studies (5 papers), Viral-associated cancers and disorders (5 papers), Acute Myeloid Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Platelet Disorders and Treatments (4 papers), Vascular Tumors and Angiosarcomas (4 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Gastroenterology (71 citations), Biochemistry (38 citations), Pulmonary and Respiratory Medicine (152 citations), Clinical Biochemistry (33 citations) and Hematology (48 citations). Kazuo Ōno has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masaharu Nohgawa, Satoko Oka, Hideo Kochi, Tsutomu Mori, H. Hata, Yuanyuan Li, Tadashi Hasegawa, Kunihiko Seki, Setsuo Hirohashi and Gary A. Radke. Their work appears in journals such as Pathology International, Biochemical and Biophysical Research Communications, Journal of Hepatology, Journal of the Physical Society of Japan and Journal of Cutaneous 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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