Barbara E. Pearson
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Animal Genetics and Reproduction
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- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
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- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 1
- Genetics 3
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Genetics and Neurodevelopmental Disorders 1
- Animal Genetics and Reproduction 1
- Co-authors
- Heinz‐Peter Nasheuer (2 shared papers)David Korn (2 shared papers)Naoko Arai (1 shared paper)Scott W. Wong (1 shared paper)Alan F. Wahl (1 shared paper)Michael W. Hunkapiller (1 shared paper)Ken‐ichi Arai (1 shared paper)Pau-Miau Yuan (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Molecular and Cellular Biology (2 papers)The EMBO Journal (1 paper)Nature Genetics (1 paper)
- Partner nations
- United States
In The Last Decade
Barbara E. Pearson
6 papers receiving 779 citations
Peers
Comparison fields: 5 of 57
- Genetics 250
- Molecular Biology 573
- Oncology 209
- Virology 33
- Epidemiology 130
Countries citing papers authored by Barbara E. Pearson
This map shows the geographic impact of Barbara E. Pearson'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 Barbara E. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara E. Pearson more than expected).
Fields of papers citing papers by Barbara E. Pearson
This network shows the impact of papers produced by Barbara E. Pearson. 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 Barbara E. Pearson. The network helps show where Barbara E. Pearson may publish in the future.
Co-authors
The 22 scholars most cited alongside Barbara E. Pearson, 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 | 1988 | 375 | |
| 2 | 1991 | 205 | |
| 3 | 1993 | 72 | |
| 4 | 1991 | 66 | |
| 5 | 1993 | 57 | |
| 6 | 1985 | 33 |
About Barbara E. Pearson
Barbara E. Pearson is a scholar working on Molecular Biology, Genetics, Ecology, Physiology and Biotechnology, having authored 6 papers that have together received 808 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), DNA Repair Mechanisms (1 paper), Alzheimer's disease research and treatments (1 paper), Animal Genetics and Reproduction (1 paper) and Transgenic Plants and Applications (1 paper). The work is most often cited by research in Genetics (250 citations), Molecular Biology (573 citations), Oncology (209 citations), Virology (33 citations) and Epidemiology (130 citations). Barbara E. Pearson has collaborated with scholars based in United States. Frequent co-authors include Heinz‐Peter Nasheuer, David Korn, Naoko Arai, Scott W. Wong, Alan F. Wahl, Michael W. Hunkapiller, Ken‐ichi Arai, Pau-Miau Yuan, Taesaeng Choi and Teresa S.‐F. Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, The EMBO Journal and Nature Genetics.
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.