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
- Advanced biosensing and bioanalysis techniques 2
- Single-cell and spatial transcriptomics 2
-
- Phagocytosis and Immune Regulation 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)R Mertelsmann (1 shared paper)
- Journals
- Cytometry (7 papers)Biochemistry (6 papers)Blood (2 papers)Cytometry Part A (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Tom Frey
22 papers receiving 969 citations
Peers
Comparison fields: 5 of 103
- Biophysics 81
- Immunology 247
- Hematology 128
- Cell Biology 173
- Molecular Biology 602
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 219 | |
| 2 | 2004 | 164 | |
| 3 | 1994 | 114 | |
| 4 | 1995 | 101 | |
| 5 | 1997 | 82 | |
| 6 | 1984 | 52 | |
| 7 | 1985 | 37 | |
| 8 | 2003 | 36 | |
| 9 | 2008 | 34 | |
| 10 | 1987 | 32 | |
| 11 | 1984 | 28 | |
| 12 | 1982 | 28 | |
| 13 | 1984 | 23 | |
| 14 | 1995 | 18 | |
| 15 | 1996 | 15 | |
| 16 | 1994 | 14 | |
| 17 | 1984 | 13 | |
| 18 | 1996 | 9 | |
| 19 | 1994 | 8 | |
| 20 | 1988 | 5 |
About Tom Frey
Tom Frey is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Biophysics, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Cell death mechanisms and regulation (4 papers), Hemoglobin structure and function (3 papers), Electron Spin Resonance Studies (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Single-cell and spatial transcriptomics (2 papers) and Phagocytosis and Immune Regulation (2 papers). The work is most often cited by research in Biophysics (81 citations), Immunology (247 citations), Hematology (128 citations), Cell Biology (173 citations) and Molecular Biology (602 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, R Mertelsmann, Thomas Luft and Reinhard Henschler. Their work appears in journals such as Cytometry, Biochemistry, Blood, Cytometry Part A 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.