Sean Howard
Impact in
- Molecular Biology top 10%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- DNA and Nucleic Acid Chemistry
- RNA modifications and cancer
Papers in
-
- DNA Repair Mechanisms 10
- CRISPR and Genetic Engineering 6
- RNA Research and Splicing 5
- Nuclear Structure and Function 4
- Cancer therapeutics and mechanisms 2
- DNA and Nucleic Acid Chemistry 2
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- Cellular Mechanics and Interactions 6
- Co-authors
- Petr Ćejka (8 shared papers)Lepakshi Ranjha (3 shared papers)Diana A. Yanez (2 shared papers)Jeremy M. Stark (2 shared papers)Roopesh Anand (3 shared papers)Ilaria Ceppi (4 shared papers)Donna R. Whelan (1 shared paper)Ashok R. Venkitaraman (1 shared paper)
- Journals
- Nature Communications (2 papers)Nucleic Acids Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)Chromosoma (2 papers)Stem Cells (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Sean Howard
15 papers receiving 773 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 709
- Aging 15
- Oncology 202
- Cancer Research 97
- Structural Biology 6
Countries citing papers authored by Sean Howard
This map shows the geographic impact of Sean Howard'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 Sean Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Howard more than expected).
Fields of papers citing papers by Sean Howard
This network shows the impact of papers produced by Sean Howard. 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 Sean Howard. The network helps show where Sean Howard may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean Howard, 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 | 2018 | 239 | |
| 2 | 2018 | 189 | |
| 3 | 2015 | 112 | |
| 4 | 2019 | 66 | |
| 5 | 2020 | 58 | |
| 6 | 2016 | 23 | |
| 7 | 2020 | 22 | |
| 8 | 2024 | 19 | |
| 9 | 2024 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 7 | |
| 13 | Main steps in DNA double-strand break repair | 2018 | 1 |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Sean Howard
Sean Howard is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Structural Biology, having authored 18 papers that have together received 777 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), CRISPR and Genetic Engineering (6 papers), Cellular Mechanics and Interactions (6 papers), RNA Research and Splicing (5 papers), Nuclear Structure and Function (4 papers), PARP inhibition in cancer therapy (3 papers), Cancer therapeutics and mechanisms (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Molecular Biology (709 citations), Aging (15 citations), Oncology (202 citations), Cancer Research (97 citations) and Structural Biology (6 citations). Sean Howard has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Petr Ćejka, Lepakshi Ranjha, Diana A. Yanez, Jeremy M. Stark, Roopesh Anand, Ilaria Ceppi, Donna R. Whelan, Ashok R. Venkitaraman, Giuseppina D’Alessandro and Xavier Renaudin. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Chromosoma and Stem Cells.
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.