Sean E. Reichheld
Impact in
- Genetics top 10%
- Connective tissue disorders research
- Bacterial Genetics and Biotechnology
- Molecular Medicine top 10%
Papers in
- Genetics 13
- Connective tissue disorders research 9
- Bacterial Genetics and Biotechnology 4
-
- RNA Research and Splicing 2
- Co-authors
- Fred W. Keeley (8 shared papers)Lisa D. Muiznieks (8 shared papers)Simon Sharpe (13 shared papers)Alan R. Davidson (4 shared papers)Zhou Yu (3 shared papers)John Parkinson (2 shared papers)Alexei Savchenko (1 shared paper)Ming Miao (5 shared papers)
- Journals
- Biopolymers (3 papers)Journal of Molecular Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Biochemistry (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Sean E. Reichheld
20 papers receiving 658 citations
Peers
Comparison fields: 5 of 80
- Genetics 269
- Molecular Medicine 40
- Molecular Biology 424
- Biomaterials 72
- Pharmacology 53
Countries citing papers authored by Sean E. Reichheld
This map shows the geographic impact of Sean E. Reichheld'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 E. Reichheld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean E. Reichheld more than expected).
Fields of papers citing papers by Sean E. Reichheld
This network shows the impact of papers produced by Sean E. Reichheld. 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 E. Reichheld. The network helps show where Sean E. Reichheld may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean E. Reichheld, 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 | 2017 | 206 | |
| 2 | 2010 | 124 | |
| 3 | 2009 | 87 | |
| 4 | 2014 | 53 | |
| 5 | 2015 | 29 | |
| 6 | 2013 | 26 | |
| 7 | 2019 | 25 | |
| 8 | 2006 | 21 | |
| 9 | 2012 | 20 | |
| 10 | 2016 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2017 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2010 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Sean E. Reichheld
Sean E. Reichheld is a scholar working on Genetics, Molecular Biology, Ecology, Immunology and Biomedical Engineering, having authored 20 papers that have together received 661 indexed citations. Recurring topics across this work include Connective tissue disorders research (9 papers), Galectins and Cancer Biology (4 papers), Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (4 papers), Elasticity and Material Modeling (3 papers), Bone and Dental Protein Studies (2 papers), Antibiotic Resistance in Bacteria (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (269 citations), Molecular Medicine (40 citations), Molecular Biology (424 citations), Biomaterials (72 citations) and Pharmacology (53 citations). Sean E. Reichheld has collaborated with scholars based in Canada and United States. Frequent co-authors include Fred W. Keeley, Lisa D. Muiznieks, Simon Sharpe, Alan R. Davidson, Zhou Yu, John Parkinson, Alexei Savchenko, Ming Miao, Eva E. Sitarz and Richard Stahl. Their work appears in journals such as Biopolymers, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.
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.