K Letwin

1.6k citations
12 papers · 1.4k · h-index 11

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Genomics and Chromatin Dynamics 3
    • Biochemical and Structural Characterization 2
    • CRISPR and Genetic Engineering 2
    • RNA Research and Splicing 2
    • Viral Infectious Diseases and Gene Expression in Insects 1

K Letwin

12 papers receiving 1.4k citations

Peers

K Letwin
Comparison fields: 5 of 78
  • Cell Biology 289
  • Immunology and Allergy 85
  • Molecular Biology 1.0k
  • Cellular and Molecular Neuroscience 224
  • Developmental Neuroscience 47
Replace Masayuki Otsu with:
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Joseph Schlessinger United States
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K Letwin relative to Masayuki Otsu Japan Masayuki Otsu's profile →
Citations per field
00.5×3.2×
Masayuki Otsu · 1×
Citations per year

Countries citing papers authored by K Letwin

Since Specialization
Citations

This map shows the geographic impact of K 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 K Letwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Letwin more than expected).

Fields of papers citing papers by K Letwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K 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 K Letwin. The network helps show where K Letwin may publish in the future.

Co-authors

The 25 scholars most cited alongside K Letwin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K Letwin Line = papers co-authored together K Letwin links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1991356
2 1992224
3 1991173
4
Immunolocalization of the Nuk receptor tyrosine kinase suggests roles in segmental patterning of the brain and axonogenesis.
1994161
5 1992145
6
Novel protein-tyrosine kinase cDNAs related to fps/fes and eph cloned using anti-phosphotyrosine antibody.
1988136
7 199173
8 199244
9 198941
10 199116
11 199216
12 19895

About K Letwin

K Letwin is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Surgery, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Genomics and Chromatin Dynamics (3 papers), Biochemical and Structural Characterization (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), CRISPR and Genetic Engineering (2 papers), RNA Research and Splicing (2 papers), Cancer Mechanisms and Therapy (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Cell Biology (289 citations), Immunology and Allergy (85 citations), Molecular Biology (1.0k citations), Cellular and Molecular Neuroscience (224 citations) and Developmental Neuroscience (47 citations). K Letwin has collaborated with scholars based in Canada and United States. Frequent co-authors include Tony Pawson, Yaacov Ben‐David, A Bernstein, Alan Bernstein, Lisa R. Tannock, Tony Hunter, Michael Reedijk, Peter van der Geer, X. Johné Liu and M.D. Waterfield. Their work appears in journals such as Molecular and Cellular Biology, The EMBO Journal, Genes & Development 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.

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