Kenneth Letwin
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Biochemical and Structural Characterization 2
- CRISPR and Genetic Engineering 2
- RNA Research and Splicing 2
- Genomics and Chromatin Dynamics 2
-
- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Tony J. Pawson (11 shared papers)Yaacov Ben‐David (4 shared papers)Alan Bernstein (2 shared papers)Lisa R. Tannock (3 shared papers)Michael Reedijk (1 shared paper)X. Johné Liu (1 shared paper)M.D. Waterfield (1 shared paper)Tony Hunter (1 shared paper)
- Journals
- Molecular and Cellular Biology (6 papers)The EMBO Journal (3 papers)PubMed (2 papers)
- Partner nations
- CanadaUnited States
In The Last Decade
Kenneth Letwin
11 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 65
- Cell Biology 274
- Immunology and Allergy 74
- Cellular and Molecular Neuroscience 225
- Developmental Neuroscience 46
- Molecular Biology 793
Countries citing papers authored by Kenneth Letwin
This map shows the geographic impact of Kenneth Letwin'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 Kenneth Letwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Letwin more than expected).
Fields of papers citing papers by Kenneth Letwin
This network shows the impact of papers produced by Kenneth Letwin. 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 Kenneth Letwin. The network helps show where Kenneth Letwin may publish in the future.
Co-authors
The 25 scholars most cited alongside Kenneth Letwin, 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 | 227 | |
| 2 | 1991 | 171 | |
| 3 | Immunolocalization of the Nuk receptor tyrosine kinase suggests roles in segmental patterning of the brain and axonogenesis. | 1994 | 161 |
| 4 | 1992 | 153 | |
| 5 | Novel protein-tyrosine kinase cDNAs related to fps/fes and eph cloned using anti-phosphotyrosine antibody. | 1988 | 139 |
| 6 | 1991 | 74 | |
| 7 | 1989 | 47 | |
| 8 | 1992 | 44 | |
| 9 | 1992 | 16 | |
| 10 | 1991 | 15 | |
| 11 | 1989 | 5 |
About Kenneth Letwin
Kenneth Letwin is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Physiology, Immunology and Allergy and Oncology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Biochemical and Structural Characterization (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer Mechanisms and Therapy (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Cell Biology (274 citations), Immunology and Allergy (74 citations), Cellular and Molecular Neuroscience (225 citations), Developmental Neuroscience (46 citations) and Molecular Biology (793 citations). Kenneth Letwin has collaborated with scholars based in Canada and United States. Frequent co-authors include Tony J. Pawson, Yaacov Ben‐David, Alan Bernstein, Lisa R. Tannock, Michael Reedijk, X. Johné Liu, M.D. Waterfield, Tony Hunter, Peter van der Geer and Benny Motro. Their work appears in journals such as Molecular and Cellular Biology, The EMBO Journal and PubMed.
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.