David Knowles

4.1k total citations
83 papers, 1.9k citations indexed

About

David Knowles is a scholar working on Molecular Biology, History and Classics. According to data from OpenAlex, David Knowles has authored 83 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in History and 15 papers in Classics. Recurrent topics in David Knowles's work include Medieval Literature and History (14 papers), Cell Image Analysis Techniques (11 papers) and Reformation and Early Modern Christianity (10 papers). David Knowles is often cited by papers focused on Medieval Literature and History (14 papers), Cell Image Analysis Techniques (11 papers) and Reformation and Early Modern Christianity (10 papers). David Knowles collaborates with scholars based in United States, United Kingdom and Australia. David Knowles's co-authors include Soile V.E. Keränen, Narla Mohandas, Michael B. Eisen, Mark D. Biggin, Joel Anne Chasis, Lisa Simirenko, Sophie A. Lelièvre, Cris L. Luengo Hendriks, Jitendra Malik and Charless C. Fowlkes and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David Knowles

69 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Knowles United States 23 1.0k 269 179 173 170 83 1.9k
Michael L. Samuels United States 28 2.5k 2.5× 42 0.2× 81 0.5× 40 0.2× 215 1.3× 56 5.1k
David Garrick United Kingdom 26 2.9k 2.8× 156 0.6× 7 0.0× 21 0.1× 1.2k 7.2× 61 3.7k
William T. Baxter United States 24 930 0.9× 13 0.0× 11 0.1× 16 0.1× 111 0.7× 56 2.8k
Michael Davidson United States 16 466 0.5× 26 0.1× 2 0.0× 20 0.1× 76 0.4× 54 1.5k
John H. Wilson United States 46 5.4k 5.3× 149 0.6× 2 0.0× 15 0.1× 1.4k 8.0× 158 6.4k
Barbara McGillivray Canada 34 1.6k 1.6× 91 0.3× 5 0.0× 5 0.0× 1.9k 11.2× 139 4.2k
Nick Perry New Zealand 10 949 0.9× 91 0.3× 6 0.0× 126 0.7× 22 2.3k
Brian L. Foster United States 36 1.3k 1.3× 79 0.3× 6 0.0× 3 0.0× 354 2.1× 146 3.9k
Raymond Hickey United States 22 506 0.5× 35 0.1× 7 0.0× 14 0.1× 256 1.5× 85 1.7k
James R. Hudson United States 17 2.0k 2.0× 90 0.3× 5 0.0× 356 2.1× 60 3.3k

Countries citing papers authored by David Knowles

Since Specialization
Citations

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

Fields of papers citing papers by David Knowles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Knowles

This figure shows the co-authorship network connecting the top 25 collaborators of David Knowles. A scholar is included among the top collaborators of David Knowles 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 Knowles. David Knowles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fowlkes, Charless C., Meghan D. J. Bragdon, Miriah Meyer, et al.. (2011). A Conserved Developmental Patterning Network Produces Quantitatively Different Output in Multiple Species of Drosophila. PLoS Genetics. 7(10). e1002346–e1002346. 40 indexed citations
2.
Aswani, Anil, Soile V.E. Keränen, James Brown, et al.. (2010). Nonparametric identification of regulatory interactions from spatial and temporal gene expression data. BMC Bioinformatics. 11(1). 413–413. 8 indexed citations
3.
MacArthur, Stewart, Xiaoyong Li, Jingyi Jessica Li, et al.. (2009). Developmental roles of 21 Drosophila transcription factors are determined by quantitative differences in binding to an overlapping set of thousands of genomic regions. Genome biology. 10(7). R80–R80. 259 indexed citations
4.
Rübel, Oliver, Gunther H. Weber, Min-Yu Huang, et al.. (2009). Integrating Data Clustering and Visualization for the Analysis of 3D Gene Expression Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(1). 64–79. 22 indexed citations
5.
Weber, Gunther H., Jitendra Malik, Mark D. Biggin, et al.. (2009). Visual Exploration of Three-Dimensional Gene Expression Using Physical Views and Linked Abstract Views. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 6(2). 296–309. 25 indexed citations
6.
Fowlkes, Charless C., Cris L. Luengo Hendriks, Soile V.E. Keränen, et al.. (2008). A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosophila Blastoderm. Cell. 133(2). 364–374. 196 indexed citations
7.
Long, Fuhui, et al.. (2007). Phenotype clustering of breast epithelial cells in confocal images based on nuclear protein distribution analysis. BMC Cell Biology. 8(S1). S3–S3. 11 indexed citations
8.
Lewis, Jason S., Shahzad I. Mian, David Knowles, et al.. (2006). NuMA Influences Higher Order Chromatin Organization in Human Mammary Epithelium. Molecular Biology of the Cell. 18(2). 348–361. 52 indexed citations
9.
Hendriks, Cris L. Luengo, Soile V.E. Keränen, Charless C. Fowlkes, et al.. (2006). Three-dimensional morphology and gene expression in the Drosophilablastoderm at cellular resolution I: data acquisition pipeline. Genome biology. 7(12). R123–R123. 96 indexed citations
10.
Keränen, Soile V.E., Charless C. Fowlkes, Cris L. Luengo Hendriks, et al.. (2006). Three-dimensional morphology and gene expression in the Drosophilablastoderm at cellular resolution II: dynamics. Genome biology. 7(12). R124–R124. 5 indexed citations
11.
Tay, Richard & David Knowles. (2004). Driver Inattention: Drivers' Perception of Risks and Compensating Behaviours. QUT ePrints (Queensland University of Technology). 1 indexed citations
12.
Chin, Koei, Carlos Ortíz-de-Solórzano, David Knowles, et al.. (2004). In situ analyses of genome instability in breast cancer. Nature Genetics. 36(9). 984–988. 277 indexed citations
13.
Tay, Richard & David Knowles. (2004). DRIVER INATTENTION. IATSS Research. 28(1). 89–94. 8 indexed citations
14.
Dort, Heidi M. Van, David Knowles, Joel Anne Chasis, et al.. (2001). Analysis of Integral Membrane Protein Contributions to the Deformability and Stability of the Human Erythrocyte Membrane. Journal of Biological Chemistry. 276(50). 46968–46974. 38 indexed citations
15.
Cho, Michael, David Knowles, Barbara L. Smith, et al.. (1999). Membrane Dynamics of the Water Transport Protein Aquaporin-1 in Intact Human Red Cells. Biophysical Journal. 76(2). 1136–1144. 34 indexed citations
16.
Knowles, David. (1979). The Religious Orders in England: The End of the Middle Ages. Cambridge University Press eBooks. 1 indexed citations
17.
Knowles, David, et al.. (1972). The heads of religious houses, England and Wales. Cambridge University Press eBooks. 3 indexed citations
18.
Knowles, David. (1970). Archbishop Thomas Becket : a character study. 2 indexed citations
19.
Knowles, David. (1965). The English mystical tradition. Harper & Row eBooks. 5 indexed citations
20.
Knowles, David, et al.. (1954). Charterhouse : the medieval foundation in the light of recent discoveries.

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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