Tom Hassell
Impact in
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- Viral Infectious Diseases and Gene Expression in Insects
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Protein purification and stability
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
Papers in
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- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 3
- DNA and Nucleic Acid Chemistry 2
- Biochemical and Molecular Research 2
- Peroxisome Proliferator-Activated Receptors 1
- Protein purification and stability 1
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- HIV/AIDS drug development and treatment 2
- Co-authors
- G. Renner (1 shared paper)Ray Field (1 shared paper)Chris J. Vlahos (2 shared papers)Nils U. Bang (2 shared papers)Małgorzata Sierant (3 shared papers)Xianbin Yang (3 shared papers)John F. Parkinson (1 shared paper)Brian W. Grinnell (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Biochemical Journal (1 paper)Biochemical and Biophysical Research Communications (1 paper)RSC Advances (1 paper)ACS Chemical Biology (1 paper)
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
Tom Hassell
10 papers receiving 269 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 196
- Internal Medicine 7
- Hematology 23
- Cancer Research 22
- Virology 7
Countries citing papers authored by Tom Hassell
This map shows the geographic impact of Tom Hassell'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 Tom Hassell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Hassell more than expected).
Fields of papers citing papers by Tom Hassell
This network shows the impact of papers produced by Tom Hassell. 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 Tom Hassell. The network helps show where Tom Hassell may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Hassell, 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 | 1992 | 65 | |
| 2 | 2003 | 52 | |
| 3 | 2012 | 48 | |
| 4 | 1993 | 45 | |
| 5 | 1991 | 28 | |
| 6 | 2014 | 21 | |
| 7 | 1993 | 12 | |
| 8 | 1990 | 7 | |
| 9 | 1991 | 5 | |
| 10 | 2011 | 3 |
About Tom Hassell
Tom Hassell is a scholar working on Molecular Biology, Infectious Diseases, Cell Biology, Pharmacology and Virology, having authored 10 papers that have together received 286 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), DNA and Nucleic Acid Chemistry (2 papers), HIV/AIDS drug development and treatment (2 papers), Biochemical and Molecular Research (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Molecular Biology (196 citations), Internal Medicine (7 citations), Hematology (23 citations), Cancer Research (22 citations) and Virology (7 citations). Tom Hassell has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include G. Renner, Ray Field, Chris J. Vlahos, Nils U. Bang, Małgorzata Sierant, Xianbin Yang, John F. Parkinson, Brian W. Grinnell, Bruce Gerlitz and Magdalena Janicka. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Biochemical and Biophysical Research Communications, RSC Advances and ACS Chemical Biology.
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.