Sean Forestell
Impact in
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 7
- Protein purification and stability 3
- CRISPR and Genetic Engineering 3
- RNA Interference and Gene Delivery 2
- Genetics 8
- Virus-based gene therapy research 7
- Animal Genetics and Reproduction 2
- Co-authors
- Ernst Böhnlein (4 shared papers)Richard Rigg (3 shared papers)Ivan Plavec (3 shared papers)Adam L. Meadows (1 shared paper)Brad Snedecor (1 shared paper)Leo A. Behie (3 shared papers)Nicolas Kalogerakis (3 shared papers)Jingyi Chen (2 shared papers)
- Journals
- Biotechnology and Bioengineering (3 papers)Human Gene Therapy (2 papers)Metabolic Engineering (1 paper)Clinical Orthopaedics and Related Research (1 paper)Chemical Engineering Science (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Sean Forestell
13 papers receiving 573 citations
Peers
Comparison fields: 5 of 69
- Virology 107
- Genetics 277
- Genetics 97
- Molecular Biology 426
- Oncology 76
Countries citing papers authored by Sean Forestell
This map shows the geographic impact of Sean Forestell'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 Forestell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Forestell more than expected).
Fields of papers citing papers by Sean Forestell
This network shows the impact of papers produced by Sean Forestell. 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 Forestell. The network helps show where Sean Forestell may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean Forestell, 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 | 2000 | 98 | |
| 2 | 2009 | 90 | |
| 3 | 1997 | 84 | |
| 4 | 1996 | 70 | |
| 5 | 1992 | 53 | |
| 6 | 1997 | 52 | |
| 7 | 1996 | 46 | |
| 8 | 1999 | 37 | |
| 9 | 2004 | 29 | |
| 10 | 2000 | 20 | |
| 11 | 1992 | 13 | |
| 12 | 2019 | 8 | |
| 13 | 1992 | 5 |
About Sean Forestell
Sean Forestell is a scholar working on Molecular Biology, Genetics, Oncology, Surgery and Virology, having authored 13 papers that have together received 605 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Protein purification and stability (3 papers), CAR-T cell therapy research (3 papers), CRISPR and Genetic Engineering (3 papers), HIV Research and Treatment (2 papers), RNA Interference and Gene Delivery (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Virology (107 citations), Genetics (277 citations), Genetics (97 citations), Molecular Biology (426 citations) and Oncology (76 citations). Sean Forestell has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Ernst Böhnlein, Richard Rigg, Ivan Plavec, Adam L. Meadows, Brad Snedecor, Leo A. Behie, Nicolas Kalogerakis, Jingyi Chen, Mark Bonyhadi and Hideto Kaneshima. Their work appears in journals such as Biotechnology and Bioengineering, Human Gene Therapy, Metabolic Engineering, Clinical Orthopaedics and Related Research and Chemical Engineering Science.
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.