Kenneth R. Peterson
- Genetics top 1%
- Hemoglobinopathies and Related Disorders 27
- Animal Genetics and Reproduction 18
- Bacterial Genetics and Biotechnology 9
- Molecular Biology top 2%
- CRISPR and Genetic Engineering 31
- Epigenetics and DNA Methylation 20
- Genomics and Chromatin Dynamics 16
- RNA modifications and cancer 13
- Glycosylation and Glycoproteins Research 8
- Genetics top 2%
- Hemoglobinopathies and Related Disorders 27
- Animal Genetics and Reproduction 18
- Bacterial Genetics and Biotechnology 9
- Hematology top 5%
- Plant Science top 5%
- Co-authors
- George StamatoyannopoulosSusanna HarjuMargaret G. KidwellHalyna FedosyukQiliang LiChristopher H. CleggXiangdong FangDavid W. Mount
- Cited by
- GeneticsMolecular Biology
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (8 papers)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Kenneth R. Peterson
96 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 116
- Genetics 685
- Molecular Biology 3.0k
- Genetics 972
- Hematology 342
- Plant Science 612
Countries citing papers authored by Kenneth R. Peterson
This map shows the geographic impact of Kenneth R. Peterson'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 Kenneth R. Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth R. Peterson more than expected).
Fields of papers citing papers by Kenneth R. Peterson
This network shows the impact of papers produced by Kenneth R. Peterson. 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 Kenneth R. Peterson. The network helps show where Kenneth R. Peterson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenneth R. Peterson, 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 | 2019 | 3 | |
| 2 | 2017 | 1 | |
| 3 | 2017 | 86 | |
| 4 | 2017 | 8 | |
| 5 | 2016 | 6 | |
| 6 | 2014 | 20 | |
| 7 | 2011 | 5 | |
| 8 | 2010 | 35 | |
| 9 | 2009 | 99 | |
| 10 | 2009 | 12 | |
| 11 | 2008 | 53 | |
| 12 | 2005 | 22 | |
| 13 | 2004 | 18 | |
| 14 | 2003 | 10 | |
| 15 | 2003 | 21 | |
| 16 | 1999 | 7 | |
| 17 | 1998 | 17 | |
| 18 | 1997 | 12 | |
| 19 | 1993 | 98 | |
| 20 | 1990 | 352 |
About Kenneth R. Peterson
Kenneth R. Peterson is a scholar working on Genetics, Molecular Biology and Genetics, having authored 97 papers that have together received 3.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (31 papers), Hemoglobinopathies and Related Disorders (27 papers), Epigenetics and DNA Methylation (20 papers), Animal Genetics and Reproduction (18 papers), Genomics and Chromatin Dynamics (16 papers), RNA modifications and cancer (13 papers), Bacterial Genetics and Biotechnology (9 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Genetics (685 citations), Molecular Biology (3.0k citations) and Genetics (972 citations). Kenneth R. Peterson has collaborated with scholars based in United States, Germany and France. Frequent co-authors include George Stamatoyannopoulos, Susanna Harju, Margaret G. Kidwell, Halyna Fedosyuk, Qiliang Li, Christopher H. Clegg, Xiangdong Fang, David W. Mount, Linda D. Strausbaugh and Arthur Chovnick. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.