Yuji Ohno

934 citations
37 papers · 795 · h-index 15

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

Yuji Ohno

34 papers receiving 753 citations

Peers

Yuji Ohno
Comparison fields: 5 of 88
  • Pharmacology 94
  • Hematology 83
  • Endocrinology, Diabetes and Metabolism 120
  • Behavioral Neuroscience 24
  • Immunology 141
Replace Yannick Schreiber with:
Yannick Schreiber Germany
Yu‐Chin Lien United States
Ilgar Abbaszade United States
Nduna Dzimiri Saudi Arabia
Hao‐Ai Shui Taiwan
Ka Bian China
Shinichi Hamada Japan
Roman Korolkiewicz Poland
Hayley J. Harris United Kingdom
Richard J. Heaslip United States
Yuji Ohno relative to Yannick Schreiber Germany Yannick Schreiber's profile →
Citations per field
00.5×3.4×
Yannick Schreiber · 1×
Citations per year

Countries citing papers authored by Yuji Ohno

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Ohno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988111
2 1986110
3 1989104
4 201660
5 198351
6 200340
7 200337
8 199131
9 200430
10
Granulocyte colony-stimulating factor mobilizes primitive hematopoietic stem cells in normal individuals.
199525
11 201018
12 202018
13 201717
14 201414
15 201714
16 201113
17 200112
18 201011
19 200910
20 201810

About Yuji Ohno

Yuji Ohno is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Immunology, Cellular and Molecular Neuroscience and Oncology, having authored 37 papers that have together received 795 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Immunotherapy and Immune Responses (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Hormonal and reproductive studies (2 papers) and Blood Pressure and Hypertension Studies (2 papers). The work is most often cited by research in Pharmacology (94 citations), Hematology (83 citations), Endocrinology, Diabetes and Metabolism (120 citations), Behavioral Neuroscience (24 citations) and Immunology (141 citations). Yuji Ohno has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kazutoshi Yanagibashi, Masahiro Kawamura, Peter F. Hall, Sho Okada, Atsushi Nakagomi, Toshihiro Shoji, Yoshio Kobayashi, Takashi Matsui, Noboru Nakamichi and Mitsuyuki Takamura. Their work appears in journals such as Xenobiotica, Journal of Hypertension, Journal of Atherosclerosis and Thrombosis, International Journal of Cardiology and The Journal of Biochemistry.

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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