David Lennon

2.3k total citations · 1 hit paper
9 papers, 1.9k citations indexed

About

David Lennon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, David Lennon has authored 9 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Immunology. Recurrent topics in David Lennon's work include CRISPR and Genetic Engineering (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and DNA Repair Mechanisms (2 papers). David Lennon is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and DNA Repair Mechanisms (2 papers). David Lennon collaborates with scholars based in United States and Germany. David Lennon's co-authors include Maria Proytcheva, Nathan A. Ellis, Joanna Groden, James German, Joel E. Straughen, Shaik O. Rahaman, Roy L. Silverstein, Maria Febbraio, Stanley L. Hazen and Becky Alhadeff and has published in prestigious journals such as Cell, Nature Biotechnology and Cell Metabolism.

In The Last Decade

David Lennon

9 papers receiving 1.8k citations

Hit Papers

The Bloom's syndrome gene product is homologous to RecQ h... 1995 2026 2005 2015 1995 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Bloom's syndrome gene product is homologous to RecQ helicases
    1995 1.1k citations Nathan A. Ellis, Joanna Groden et al. Cell profile →

Peers

David Lennon
Simon Knott United States
Siyuan Le United States
Michael P. Kladde United States
Tada-aki Hori Japan
M Nishizawa Japan
Phillip R. Musich United States
Renate Voit Germany
Chao‐Xing Yuan United States
Kasirajan Ayyanathan United States
Chi‐Bom Chae United States
Simon Knott United States
David Lennon
Citations per year, relative to David Lennon David Lennon (= 1×) peers Simon Knott

Countries citing papers authored by David Lennon

Since Specialization
Citations

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

Fields of papers citing papers by David Lennon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Lennon

This figure shows the co-authorship network connecting the top 25 collaborators of David Lennon. A scholar is included among the top collaborators of David Lennon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Lennon. David Lennon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Rahaman, Shaik O., et al.. (2006). A CD36-dependent signaling cascade is necessary for macrophage foam cell formation. Cell Metabolism. 4(3). 211–221. 420 indexed citations
2.
Rahaman, Shaik O., et al.. (2006). A CD36‐dependent signaling cascade is necessary for macrophage foam cell formation. The FASEB Journal. 20(4). 4 indexed citations
3.
DeMasi, Joseph, et al.. (2001). Vaccinia Virus Telomeres: Interaction with the Viral I1, I6, and K4 Proteins. Journal of Virology. 75(21). 10090–10105. 33 indexed citations
4.
Ellis, Nathan A., et al.. (1998). The Ashkenazic Jewish Bloom Syndrome Mutation blmAsh Is Present in Non-Jewish Americans of Spanish Ancestry. The American Journal of Human Genetics. 63(6). 1685–1693. 47 indexed citations
5.
Ellis, Nathan A., Joanna Groden, Joel E. Straughen, et al.. (1995). The Bloom's syndrome gene product is homologous to RecQ helicases. Cell. 83(4). 655–666. 1136 indexed citations breakdown →
6.
McKinley, Denise D., et al.. (1995). Cloning, sequence analysis and expression of two forms of mRNA coding for the human β2 subunit of the GABAA receptor. Molecular Brain Research. 28(1). 175–179. 32 indexed citations
7.
Ellis, Nathan A., David Lennon, Maria Proytcheva, et al.. (1995). Somatic intragenic recombination within the mutated locus BLM can correct the high sister-chromatid exchange phenotype of Bloom syndrome cells.. PubMed. 57(5). 1019–27. 114 indexed citations
8.
Hamilton, B. JoNell, et al.. (1993). Stable expression of cloned rat GABAA receptor subunits in a human kidney cell line. Neuroscience Letters. 153(2). 206–209. 43 indexed citations
9.
Thomsen, D R, Wha Bin Im, David Lennon, et al.. (1992). Functional Expression of GABAA Chloride Channels and Benzodiazepine Binding Sites in Baculovirus Infected Insect Cells. Nature Biotechnology. 10(6). 679–681. 39 indexed citations

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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