Donald Yergeau
- Hematology top 2%
- Acute Myeloid Leukemia Research 4
- Molecular Biology top 10%
- CRISPR and Genetic Engineering 12
- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 3
- Genetics top 10%
- Animal Genetics and Reproduction 6
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- Animal Genetics and Reproduction 6
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- Chromosomal and Genetic Variations 6
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- Zebrafish Biomedical Research Applications 4
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- Erythrocyte Function and Pathophysiology 3
- Co-authors
- Christopher J. HetheringtonDaniel G. TenenPaul E. MeadDong‐Er ZhangPu ZhangNancy A. SpeckMiguel Marín‐PadillaArlene H. Sharpe
- Cited by
- HematologyMolecular BiologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesItalyPoland
In The Last Decade
Donald Yergeau
32 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Hematology 464
- Molecular Biology 731
- Genetics 89
- Immunology 155
- Genetics 147
Countries citing papers authored by Donald Yergeau
This map shows the geographic impact of Donald Yergeau'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 Donald Yergeau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald Yergeau more than expected).
Fields of papers citing papers by Donald Yergeau
This network shows the impact of papers produced by Donald Yergeau. 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 Donald Yergeau. The network helps show where Donald Yergeau may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Donald Yergeau, 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 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2021 | 0 | |
| 4 | 2021 | 47 | |
| 5 | 2020 | 3 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 86 | |
| 8 | 2019 | 43 | |
| 9 | 2012 | 6 | |
| 10 | 2011 | 6 | |
| 11 | 2010 | 6 | |
| 12 | 2010 | 12 | |
| 13 | 2009 | 3 | |
| 14 | 2007 | 14 | |
| 15 | 2007 | 20 | |
| 16 | 2005 | 44 | |
| 17 | 2005 | 4 | |
| 18 | 2004 | 11 | |
| 19 | 1997 | 296 | |
| 20 | 1995 | 38 |
About Donald Yergeau
Donald Yergeau is a scholar working on Hematology, Molecular Biology and Cell Biology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Chromosomal and Genetic Variations (6 papers), Animal Genetics and Reproduction (6 papers), RNA Interference and Gene Delivery (5 papers), Acute Myeloid Leukemia Research (4 papers), Zebrafish Biomedical Research Applications (4 papers), Erythrocyte Function and Pathophysiology (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Hematology (464 citations), Molecular Biology (731 citations) and Genetics (89 citations). Donald Yergeau has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include Christopher J. Hetherington, Daniel G. Tenen, Paul E. Mead, Dong‐Er Zhang, Pu Zhang, Nancy A. Speck, Miguel Marín‐Padilla, Arlene H. Sharpe, Qing Wang and Michael Binder. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.