Tom Frey
Impact in
- Biophysics top 5%
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Cell death mechanisms and regulation 4
- DNA and Nucleic Acid Chemistry 3
- Single-cell and spatial transcriptomics 2
- RNA Interference and Gene Delivery 2
- Co-authors
- Harden M. McConnell (7 shared papers)Jacob Anglister (6 shared papers)Barry R. Zeebèrg (1 shared paper)Michael Caplow (1 shared paper)Laurel Nomura (1 shared paper)Joe Trotter (1 shared paper)Holden T. Maecker (1 shared paper)Thomas Luft (1 shared paper)
- Journals
- Cytometry (7 papers)Biochemistry (6 papers)Blood (2 papers)Molecular & Cellular Proteomics (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Tom Frey
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 102
- Biophysics 83
- Immunology 241
- Hematology 125
- Cell Biology 183
- Molecular Biology 629
Countries citing papers authored by Tom Frey
This map shows the geographic impact of Tom Frey'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 Frey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Frey more than expected).
Fields of papers citing papers by Tom Frey
This network shows the impact of papers produced by Tom Frey. 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 Frey. The network helps show where Tom Frey may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Frey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 238 | |
| 2 | 2004 | 177 | |
| 3 | 1994 | 119 | |
| 4 | 1995 | 107 | |
| 5 | 1997 | 86 | |
| 6 | 1984 | 56 | |
| 7 | 1985 | 41 | |
| 8 | 2008 | 38 | |
| 9 | 2003 | 37 | |
| 10 | 1987 | 35 | |
| 11 | 1982 | 31 | |
| 12 | 1984 | 30 | |
| 13 | 1984 | 25 | |
| 14 | 1995 | 20 | |
| 15 | 1994 | 15 | |
| 16 | 1996 | 15 | |
| 17 | 1984 | 15 | |
| 18 | 1994 | 9 | |
| 19 | 1996 | 9 | |
| 20 | 1988 | 7 |
About Tom Frey
Tom Frey is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Biophysics, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Cell death mechanisms and regulation (4 papers), Electron Spin Resonance Studies (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Hemoglobin structure and function (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Single-cell and spatial transcriptomics (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Biophysics (83 citations), Immunology (241 citations), Hematology (125 citations), Cell Biology (183 citations) and Molecular Biology (629 citations). Tom Frey has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Harden M. McConnell, Jacob Anglister, Barry R. Zeebèrg, Michael Caplow, Laurel Nomura, Joe Trotter, Holden T. Maecker, Thomas Luft, Lothar Kanz and Reinhard Henschler. Their work appears in journals such as Cytometry, Biochemistry, Blood, Molecular & Cellular Proteomics and British Journal of Haematology.
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.