Tom Alfredson
Impact in
- Pharmaceutical Science top 10%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
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- Adenosine and Purinergic Signaling
Papers in
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- HIV/AIDS drug development and treatment 4
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- Hepatitis C virus research 4
- Co-authors
- Fujun Li (3 shared papers)Hans Maag (1 shared paper)Michael Brandl (4 shared papers)Xiaoling Li (2 shared papers)Rebecca W.Y. Chan (1 shared paper)Ravichandran Mahalingam (2 shared papers)Bhaskara Jasti (2 shared papers)Calvin Yee (1 shared paper)
- Journals
- AAPS PharmSciTech (2 papers)Journal of Pharmaceutical Sciences (2 papers)Drug Discovery Today Technologies (1 paper)Antiviral Research (1 paper)Journal of Pharmaceutical and Biomedical Analysis (1 paper)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Tom Alfredson
13 papers receiving 276 citations
Peers
Comparison fields: 5 of 65
- Pharmaceutical Science 41
- Physiology 24
- Infectious Diseases 86
- Hepatology 32
- Virology 18
Countries citing papers authored by Tom Alfredson
This map shows the geographic impact of Tom Alfredson'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 Alfredson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Alfredson more than expected).
Fields of papers citing papers by Tom Alfredson
This network shows the impact of papers produced by Tom Alfredson. 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 Alfredson. The network helps show where Tom Alfredson may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Alfredson, 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 | 2007 | 120 | |
| 2 | 1987 | 32 | |
| 3 | 2008 | 30 | |
| 4 | 2006 | 28 | |
| 5 | 2009 | 17 | |
| 6 | 2022 | 15 | |
| 7 | 2012 | 13 | |
| 8 | 2005 | 12 | |
| 9 | 2007 | 6 | |
| 10 | 2010 | 6 | |
| 11 | 1986 | 6 | |
| 12 | 2009 | 3 | |
| 13 | 2010 | 3 |
About Tom Alfredson
Tom Alfredson is a scholar working on Infectious Diseases, Hepatology, Spectroscopy, Molecular Biology and Pharmaceutical Science, having authored 13 papers that have together received 291 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (4 papers), Hepatitis C virus research (4 papers), Analytical Chemistry and Chromatography (3 papers), Drug Solubulity and Delivery Systems (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Electrospun Nanofibers in Biomedical Applications (1 paper), Protein purification and stability (1 paper) and Safe Handling of Antineoplastic Drugs (1 paper). The work is most often cited by research in Pharmaceutical Science (41 citations), Physiology (24 citations), Infectious Diseases (86 citations), Hepatology (32 citations) and Virology (18 citations). Tom Alfredson has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Fujun Li, Hans Maag, Michael Brandl, Xiaoling Li, Rebecca W.Y. Chan, Ravichandran Mahalingam, Bhaskara Jasti, Calvin Yee, George Hill and David B. Smith. Their work appears in journals such as AAPS PharmSciTech, Journal of Pharmaceutical Sciences, Drug Discovery Today Technologies, Antiviral Research and Journal of Pharmaceutical and Biomedical Analysis.
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.