Jamie Freeman
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 5
- Invertebrate Immune Response Mechanisms 2
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- CRISPR and Genetic Engineering 7
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 3
- Co-authors
- Dixie L. Mager (21 shared papers)Fumio Takei (5 shared papers)Nancy L. Goodchild (3 shared papers)Karina L. McQueen (3 shared papers)Michael Schertzer (1 shared paper)Colm Kelleher (1 shared paper)Simon C. K. Wong (1 shared paper)Paul E. Kowalski (2 shared papers)
- Journals
- Genomics (5 papers)Journal of Virology (3 papers)Virology (2 papers)Current Biology (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Jamie Freeman
37 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 99
- Immunology 716
- Molecular Biology 1.0k
- Plant Science 512
- Aging 23
- Oncology 274
Countries citing papers authored by Jamie Freeman
This map shows the geographic impact of Jamie Freeman'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 Jamie Freeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Freeman more than expected).
Fields of papers citing papers by Jamie Freeman
This network shows the impact of papers produced by Jamie Freeman. 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 Jamie Freeman. The network helps show where Jamie Freeman may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamie Freeman, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 173 | |
| 2 | 2013 | 171 | |
| 3 | 2005 | 127 | |
| 4 | 1991 | 123 | |
| 5 | 1987 | 113 | |
| 6 | 1999 | 112 | |
| 7 | 1996 | 108 | |
| 8 | 1987 | 93 | |
| 9 | 2014 | 81 | |
| 10 | 1995 | 76 | |
| 11 | 1993 | 76 | |
| 12 | 1998 | 70 | |
| 13 | 1990 | 66 | |
| 14 | 1992 | 62 | |
| 15 | 1999 | 57 | |
| 16 | A modified indicator gene for selection of retrotransposition events in mammalian cells. | 1994 | 52 |
| 17 | 2011 | 51 | |
| 18 | 2001 | 50 | |
| 19 | 2000 | 46 | |
| 20 | 2019 | 31 |
About Jamie Freeman
Jamie Freeman is a scholar working on Immunology, Molecular Biology, Plant Science, Cell Biology and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (11 papers), CRISPR and Genetic Engineering (7 papers), RNA and protein synthesis mechanisms (7 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), RNA modifications and cancer (3 papers), Invertebrate Immune Response Mechanisms (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (716 citations), Molecular Biology (1.0k citations), Plant Science (512 citations), Aging (23 citations) and Oncology (274 citations). Jamie Freeman has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Dixie L. Mager, Fumio Takei, Nancy L. Goodchild, Karina L. McQueen, Michael Schertzer, Colm Kelleher, Simon C. K. Wong, Paul E. Kowalski, Sharon M. Gorski and Suzanne Lemieux. Their work appears in journals such as Genomics, Journal of Virology, Virology, Current Biology and Nucleic Acids Research.
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.