Brian A. Kudlow

2.6k total citations
35 papers, 2.1k citations indexed

About

Brian A. Kudlow is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Brian A. Kudlow has authored 35 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 10 papers in Cancer Research and 5 papers in Epidemiology. Recurrent topics in Brian A. Kudlow's work include Nuclear Structure and Function (10 papers), Cancer Genomics and Diagnostics (7 papers) and RNA Research and Splicing (7 papers). Brian A. Kudlow is often cited by papers focused on Nuclear Structure and Function (10 papers), Cancer Genomics and Diagnostics (7 papers) and RNA Research and Splicing (7 papers). Brian A. Kudlow collaborates with scholars based in United States, United Kingdom and Canada. Brian A. Kudlow's co-authors include Brian K. Kennedy, Amanda L. Taylor, Erik M. Schwiebert, Raymond J. Monnat, Richard L. Frock, Lisa M. Schwiebert, Angela Evans, Stephen D. Hauschka, Dieter C. Gruenert and William B. Guggino and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Brian A. Kudlow

34 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian A. Kudlow United States 20 1.3k 350 267 234 167 35 2.1k
Faraaz B. Chekeni United States 5 1.3k 1.0× 603 1.7× 101 0.4× 414 1.8× 150 0.9× 5 2.6k
Craig B. Woda United States 17 1.4k 1.1× 62 0.2× 458 1.7× 187 0.8× 275 1.6× 21 2.4k
Robin I. Woodson United States 5 505 0.4× 369 1.1× 74 0.3× 204 0.9× 118 0.7× 5 1.5k
Gilles Kauffenstein France 24 420 0.3× 455 1.3× 102 0.4× 139 0.6× 132 0.8× 49 1.4k
Allison J. Armstrong United States 9 1.0k 0.7× 227 0.6× 45 0.2× 240 1.0× 104 0.6× 11 1.5k
R. Brian Doctor United States 26 832 0.6× 105 0.3× 154 0.6× 142 0.6× 314 1.9× 44 1.6k
Tianqing Kong United States 16 492 0.4× 336 1.0× 99 0.4× 107 0.5× 86 0.5× 21 1.2k
Susan J. Robertson Canada 22 301 0.2× 192 0.5× 646 2.4× 75 0.3× 193 1.2× 72 1.7k
Marie A. Shatos United States 28 792 0.6× 61 0.2× 290 1.1× 165 0.7× 111 0.7× 54 2.1k
Valentina Salvestrini Italy 22 527 0.4× 392 1.1× 76 0.3× 149 0.6× 110 0.7× 41 1.9k

Countries citing papers authored by Brian A. Kudlow

Since Specialization
Citations

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

Fields of papers citing papers by Brian A. Kudlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian A. Kudlow. 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 Brian A. Kudlow. The network helps show where Brian A. Kudlow may publish in the future.

Co-authorship network of co-authors of Brian A. Kudlow

This figure shows the co-authorship network connecting the top 25 collaborators of Brian A. Kudlow. A scholar is included among the top collaborators of Brian A. Kudlow 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 Brian A. Kudlow. Brian A. Kudlow 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.
Namløs, Heidi M., Kjetil Boye, Tale Barøy, et al.. (2018). Noninvasive Detection of ctDNA Reveals Intratumor Heterogeneity and Is Associated with Tumor Burden in Gastrointestinal Stromal Tumor. Molecular Cancer Therapeutics. 17(11). 2473–2480. 60 indexed citations
2.
Manoj, Namitha, Josh Haimes, Laura Griffin, et al.. (2017). Anchored Multiplex PCR Enables Sensitive and Specific Detection of Variants in Circulating Tumor DNA by Next-Generation Sequencing. Cancer Genetics. 214-215. 47–47. 1 indexed citations
4.
Eberlein, Jens, T. Harrison, Laura Griffin, et al.. (2017). Characterization of B- and T-cell immune repertoires using Anchored Multiplex PCR and Next-Generation Sequencing.. The Journal of Immunology. 198(Supplement_1). 157.23–157.23. 1 indexed citations
5.
Johnson, Laura, et al.. (2016). Internal tandem duplications in FLT3 detected by anchored multiplex PCR and next-generation sequencing. Annals of Oncology. 27. vi403–vi403. 1 indexed citations
6.
Kudlow, Brian A., et al.. (2016). Genetic aberrations driving MET deregulation detected with anchored multiplex PCR and next-generation sequencing. Annals of Oncology. 27. vi403–vi403. 1 indexed citations
8.
9.
Kudlow, Brian A., Liang Zhang, & Min Han. (2012). Systematic Analysis of Tissue-Restricted miRISCs Reveals a Broad Role for MicroRNAs in Suppressing Basal Activity of the C. elegans Pathogen Response. Molecular Cell. 46(4). 530–541. 46 indexed citations
10.
Zhang, Liang, Molly Hammell, Brian A. Kudlow, Victor Ambros, & Min Han. (2009). Systematic analysis of dynamic miRNA-target interactions during C. elegans development. Development. 136(18). 3043–3055. 43 indexed citations
11.
Kudlow, Brian A., et al.. (2008). Suppression of Proliferative Defects Associated with Processing-defective Lamin A Mutants by hTERT or Inactivation of p53. Molecular Biology of the Cell. 19(12). 5238–5248. 100 indexed citations
12.
Kudlow, Brian A., Brian K. Kennedy, & Raymond J. Monnat. (2007). Werner and Hutchinson–Gilford progeria syndromes: mechanistic basis of human progeroid diseases. Nature Reviews Molecular Cell Biology. 8(5). 394–404. 216 indexed citations
13.
Kaeberlein, Matt, et al.. (2007). Single-gene deletions that restore mating competence to diploid yeast. FEMS Yeast Research. 8(2). 276–286. 11 indexed citations
14.
Kudlow, Brian A. & Brian K. Kennedy. (2006). Aging: Progeria and the Lamin Connection. Current Biology. 16(16). R652–R654. 18 indexed citations
15.
Frock, Richard L., et al.. (2006). Lamin A/C and emerin are critical for skeletal muscle satellite cell differentiation. Genes & Development. 20(4). 486–500. 224 indexed citations
16.
Kudlow, Brian A., et al.. (2005). HIV protease inhibitors block adipocyte differentiation independently of lamin A/C. AIDS. 19(15). 1565–1573. 29 indexed citations
17.
Smith, Erica D., Brian A. Kudlow, Richard L. Frock, & Brian K. Kennedy. (2004). A-type nuclear lamins, progerias and other degenerative disorders. Mechanisms of Ageing and Development. 126(4). 447–460. 41 indexed citations
18.
Barbie, David A., Brian A. Kudlow, Richard L. Frock, et al.. (2003). Nuclear Reorganization of Mammalian DNA Synthesis Prior to Cell Cycle Exit. Molecular and Cellular Biology. 24(2). 595–607. 30 indexed citations
19.
Braunstein, Gavin M., Richard M. Roman, John Clancy, et al.. (2001). Cystic Fibrosis Transmembrane Conductance Regulator Facilitates ATP Release by Stimulating a Separate ATP Release Channel for Autocrine Control of Cell Volume Regulation. Journal of Biological Chemistry. 276(9). 6621–6630. 162 indexed citations
20.
McCoy, D. E., Amanda L. Taylor, Brian A. Kudlow, et al.. (1999). Nucleotides regulate NaCl transport in mIMCD-K2 cells via P2X and P2Y purinergic receptors. American Journal of Physiology-Renal Physiology. 277(4). F552–F559. 74 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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