Tom Hassell
Impact in
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- Viral Infectious Diseases and Gene Expression in Insects
- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- Protein purification and stability
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
Papers in
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- Advanced biosensing and bioanalysis techniques 3
- RNA Interference and Gene Delivery 3
- Biochemical and Molecular Research 2
- DNA and Nucleic Acid Chemistry 2
- Steroid Chemistry and Biochemistry 1
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- HIV/AIDS drug development and treatment 2
- Co-authors
- Ray Field (1 shared paper)G. Renner (1 shared paper)Chris J. Vlahos (2 shared papers)Nils U. Bang (2 shared papers)Brian W. Grinnell (1 shared paper)Bruce Gerlitz (1 shared paper)John F. Parkinson (1 shared paper)Xianbin Yang (3 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)ACS Chemical Biology (1 paper)RSC Advances (1 paper)Biochemical and Biophysical Research Communications (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
Tom Hassell
10 papers receiving 267 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 197
- Internal Medicine 10
- Hematology 24
- Biochemistry 12
- Cancer Research 24
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 | 46 | |
| 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 284 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), RNA Interference and Gene Delivery (3 papers), Biochemical and Molecular Research (2 papers), DNA and Nucleic Acid Chemistry (2 papers), HIV/AIDS drug development and treatment (2 papers), HIV Research and Treatment (1 paper), Steroid Chemistry and Biochemistry (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Molecular Biology (197 citations), Internal Medicine (10 citations), Hematology (24 citations), Biochemistry (12 citations) and Cancer Research (24 citations). Tom Hassell has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Ray Field, G. Renner, Chris J. Vlahos, Nils U. Bang, Brian W. Grinnell, Bruce Gerlitz, John F. Parkinson, Xianbin Yang, Małgorzata Sierant and Barbara Nawrot. Their work appears in journals such as Journal of Biological Chemistry, ACS Chemical Biology, RSC Advances, Biochemical and Biophysical Research Communications and Biochemical Journal.
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.