Kinuko Ohneda
- Genetics top 2%
- Hemoglobinopathies and Related Disorders 13
- Mesenchymal stem cell research 7
- Hematology top 2%
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 8
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 18
- Genomics and Chromatin Dynamics 10
- RNA modifications and cancer 9
- Immunology top 10%
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- Erythrocyte Function and Pathophysiology 9
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- Pancreatic function and diabetes 7
- Co-authors
- Masayuki YamamotoSjaak PhilipsenOsamu OhnedaRita FerreiraMichael S. GermanToshiharu YamashitaRitsuko ShimizuMasumi Nagano
- Cited by
- GeneticsHematologyCancer Research
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Kinuko Ohneda
64 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 105
- Genetics 583
- Hematology 503
- Cancer Research 442
- Molecular Biology 1.5k
- Immunology 387
Countries citing papers authored by Kinuko Ohneda
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2019 | 7 | |
| 3 | 2017 | 10 | |
| 4 | 2016 | 34 | |
| 5 | 2016 | 25 | |
| 6 | 2015 | 42 | |
| 7 | 2013 | 18 | |
| 8 | 2010 | 46 | |
| 9 | 2008 | 63 | |
| 10 | 2007 | 22 | |
| 11 | 2005 | 50 | |
| 12 | 2004 | 66 | |
| 13 | 2004 | 88 | |
| 14 | 2004 | 11 | |
| 15 | 2003 | 24 | |
| 16 | 2001 | 107 | |
| 17 | WECHE: A novel hematopoietic regulatory factor | 2000 | 2 |
| 18 | 2000 | 36 | |
| 19 | 1994 | 26 | |
| 20 | The structure-function relationship of GLP-1-related peptides in the endocrine function of the pancreas | 1993 | 2 |
About Kinuko Ohneda
Kinuko Ohneda is a scholar working on Genetics, Hematology and Cancer Research, having authored 64 papers that have together received 2.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (18 papers), Hemoglobinopathies and Related Disorders (13 papers), Genomics and Chromatin Dynamics (10 papers), Erythrocyte Function and Pathophysiology (9 papers), RNA modifications and cancer (9 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 (583 citations), Hematology (503 citations) and Cancer Research (442 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, Mikiko Suzuki and James Douglas Engel. 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.