Kinuko Ohneda

3.5k citations
64 papers · 2.8k · h-index 29

Impact in

  • Genetics top 1%
    • Hemoglobinopathies and Related Disorders
    • Mesenchymal stem cell research
  • Hematology top 2%
    • Acute Myeloid Leukemia Research

Papers in

    • Epigenetics and DNA Methylation 17
    • Genomics and Chromatin Dynamics 8
    • RNA modifications and cancer 8
    • Hemoglobinopathies and Related Disorders 14
    • Mesenchymal stem cell research 7

Kinuko Ohneda

64 papers receiving 2.8k citations

Peers

Kinuko Ohneda
Comparison fields: 5 of 103
  • Genetics 588
  • Hematology 502
  • Cancer Research 421
  • Molecular Biology 1.5k
  • Immunology 381
Replace Valérie Barbier with:
Valérie Barbier Australia
Paul Gadue United States
Evgenia Pak United States
Borja Sáez United States
L T Williams United States
C H Heldin Sweden
Stephan Teglund Sweden
Jason Ross United States
Anna Savoia Italy
Deniz Toksoz United States
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Citations per field
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Valérie Barbier · 1×
Citations per year

Countries citing papers authored by Kinuko Ohneda

Since Specialization
Citations

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

Fields of papers citing papers by Kinuko Ohneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005342
2 2000174
3 2002154
4 1997144
5 2001123
6 2001115
7 2007109
8 2000103
9 2007102
10 200493
11 200884
12 200470
13 200866
14 201364
15 201055
16 200553
17 200251
18 201048
19 200247
20 200844

About Kinuko Ohneda

Kinuko Ohneda is a scholar working on Molecular Biology, Genetics, Physiology, Immunology and Cancer Research, having authored 64 papers that have together received 2.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Hemoglobinopathies and Related Disorders (14 papers), Erythrocyte Function and Pathophysiology (9 papers), Genomics and Chromatin Dynamics (8 papers), RNA modifications and cancer (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Mesenchymal stem cell research (7 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Genetics (588 citations), Hematology (502 citations), Cancer Research (421 citations), Molecular Biology (1.5k citations) and Immunology (381 citations). Kinuko Ohneda has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Masayuki Yamamoto, Sjaak Philipsen, Osamu Ohneda, Rita Ferreira, Michael S. German, Toshiharu Yamashita, Ritsuko Shimizu, Masumi Nagano, James Douglas Engel and Mikiko Suzuki. Their work appears in journals such as Molecular and Cellular Biology, Blood, Genes to Cells, Journal of Biological Chemistry and Stem Cells and Development.

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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