Stephen E. Farr
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Protein Structure and Dynamics
- DNA and Nucleic Acid Chemistry
- Advanced biosensing and bioanalysis techniques
Papers in
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- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 2
- Protein Degradation and Inhibitors 1
- Protein Structure and Dynamics 1
- Genetics 2
- Co-authors
- Rosana Collepardo‐Guevara (4 shared papers)Adiran Garaizar (2 shared papers)Jerelle A. Joseph (1 shared paper)Tamar Schlick (1 shared paper)Akshay Sridhar (1 shared paper)Guillem Portella (1 shared paper)Modesto Orozco (1 shared paper)Volker Huck (1 shared paper)
- Journals
- Nature Communications (2 papers)Journal of Chemical Information and Modeling (2 papers)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Stephen E. Farr
5 papers receiving 182 citations
Peers
Comparison fields: 5 of 36
- Molecular Biology 157
- Hematology 5
- Physical and Theoretical Chemistry 3
- Internal Medicine 1
- Geriatrics and Gerontology 1
Countries citing papers authored by Stephen E. Farr
This map shows the geographic impact of Stephen E. Farr'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 Stephen E. Farr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen E. Farr more than expected).
Fields of papers citing papers by Stephen E. Farr
This network shows the impact of papers produced by Stephen E. Farr. 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 Stephen E. Farr. The network helps show where Stephen E. Farr may publish in the future.
Co-authors
The 23 scholars most cited alongside Stephen E. Farr, 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 | 2021 | 120 | |
| 2 | 2020 | 33 | |
| 3 | 2020 | 15 | |
| 4 | 2025 | 9 | |
| 5 | 2025 | 5 | |
| 6 | 2025 | 0 |
About Stephen E. Farr
Stephen E. Farr is a scholar working on Molecular Biology, Genetics, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics and Hematology, having authored 6 papers that have together received 182 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (2 papers), Molecular spectroscopy and chirality (1 paper), Protein Degradation and Inhibitors (1 paper), Chromosomal and Genetic Variations (1 paper), Quantum many-body systems (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Molecular Biology (157 citations), Hematology (5 citations), Physical and Theoretical Chemistry (3 citations), Internal Medicine (1 citation) and Geriatrics and Gerontology (1 citation). Stephen E. Farr has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Rosana Collepardo‐Guevara, Adiran Garaizar, Jerelle A. Joseph, Tamar Schlick, Akshay Sridhar, Guillem Portella, Modesto Orozco, Volker Huck, Lynda K. Doolittle and Jan Huertas. Their work appears in journals such as Nature Communications, Journal of Chemical Information and Modeling, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.