David Brown

15.4k total citations · 7 hit papers
86 papers, 12.1k citations indexed

About

David Brown is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, David Brown has authored 86 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 24 papers in Cancer Research and 14 papers in Plant Science. Recurrent topics in David Brown's work include MicroRNA in disease regulation (20 papers), RNA Interference and Gene Delivery (14 papers) and Viral Infections and Immunology Research (10 papers). David Brown is often cited by papers focused on MicroRNA in disease regulation (20 papers), RNA Interference and Gene Delivery (14 papers) and Viral Infections and Immunology Research (10 papers). David Brown collaborates with scholars based in United States, United Kingdom and Australia. David Brown's co-authors include Frank J. Slack, Jaclyn Shingara, Andreas G. Bader, Mike Byrom, Angie Cheng, Kevin Kelnar, Emmanuel Labourier, Simon R. Turner, Steven Johnson and Helge Großhans and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

David Brown

83 papers receiving 11.8k citations

Hit Papers

RAS Is Regulated by the let-7 MicroRNA Family 2005 2026 2012 2019 2005 2007 2008 2005 2010 500 1000 1.5k 2.0k 2.5k
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. RAS Is Regulated by the let-7 MicroRNA Family
    2005 2.9k citations Jaclyn Shingara, Mike Byrom et al. profile →
  2. The let-7 MicroRNA Represses Cell Proliferation Pathways in Human Cells
    2007 1.0k citations Charles D. Johnson, Aurora Esquela‐Kerscher et al. Cancer Research profile →
  3. Identification of miRNA Changes in Alzheimer's Disease Brain and CSF Yields Putative Biomarkers and Insights into Disease Pathways
    2008 779 citations Kevin Kelnar, David Brown et al. profile →
  4. Identification of Novel Genes in Arabidopsis Involved in Secondary Cell Wall Formation Using Expression Profiling and Reverse Genetics
    2005 632 citations David Brown, Leo Zeef et al. The Plant Cell profile →
  5. Development of a Lung Cancer Therapeutic Based on the Tumor Suppressor MicroRNA-34
    2010 532 citations Jason F. Wiggins, Lynnsie Ruffino et al. Cancer Research profile →
  6. Systemic Delivery of Tumor Suppressor microRNA Mimics Using a Neutral Lipid Emulsion Inhibits Lung Tumors in Mice
    2011 525 citations Phong Trang, Jason F. Wiggins et al. Molecular Therapy profile →
  7. The Promise of MicroRNA Replacement Therapy
    2010 500 citations Andreas G. Bader, David Brown et al. Cancer Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Brown United States 41 9.0k 6.4k 1.8k 994 567 86 12.1k
Sakari Kauppinen Denmark 61 14.1k 1.6× 12.2k 1.9× 1.3k 0.7× 802 0.8× 624 1.1× 112 18.7k
Stacia K. Wyman United States 25 9.6k 1.1× 5.9k 0.9× 891 0.5× 291 0.3× 424 0.7× 37 11.6k
Li Yang China 59 17.5k 1.9× 11.5k 1.8× 1.5k 0.8× 214 0.2× 570 1.0× 252 19.5k
Erik J. Sontheimer United States 45 11.9k 1.3× 2.9k 0.5× 1.6k 0.9× 189 0.2× 306 0.5× 92 13.7k
Jidong Liu China 24 6.8k 0.8× 3.4k 0.5× 1.0k 0.6× 157 0.2× 378 0.7× 87 8.4k
Rhonda Feinbaum United States 15 9.4k 1.0× 7.0k 1.1× 1.6k 0.9× 122 0.1× 244 0.4× 19 12.4k
Jeroen Krijgsveld Germany 58 10.7k 1.2× 1.5k 0.2× 445 0.2× 845 0.9× 1.1k 1.9× 175 15.2k
Lawrence W. Stanton Singapore 53 6.9k 0.8× 2.0k 0.3× 309 0.2× 437 0.4× 680 1.2× 124 10.4k
Rosalind C. Lee United States 10 10.9k 1.2× 9.3k 1.4× 1.4k 0.8× 122 0.1× 287 0.5× 10 13.7k
Janko Kos Slovenia 57 4.3k 0.5× 3.6k 0.6× 663 0.4× 518 0.5× 2.1k 3.7× 314 10.9k

Countries citing papers authored by David Brown

Since Specialization
Citations

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

Fields of papers citing papers by David Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Brown

This figure shows the co-authorship network connecting the top 25 collaborators of David Brown. A scholar is included among the top collaborators of David Brown 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 Brown. David Brown 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.
Moon, Richard E., Michael J. Natoli, David Brown, et al.. (2025). Ultrasound detection of lymphatic bubbles in a porcine dive model. Journal of Applied Physiology. 139(2). 365–375.
2.
Bittencourt, Daniela, David Brown, Nacyra Assad-Garcia, et al.. (2024). Minimal Bacterial Cell JCVI-syn3B as a Chassis to Investigate Interactions between Bacteria and Mammalian Cells. ACS Synthetic Biology. 13(4). 1128–1141. 5 indexed citations
3.
Lin, Yi‐Han, Maryann P. Platt, Ryan P. Gilley, et al.. (2021). Influenza Causes MLKL-Driven Cardiac Proteome Remodeling During Convalescence. Circulation Research. 128(5). 570–584. 14 indexed citations
4.
Brown, David, Yun Zhang, & Richard H. Scheuermann. (2020). Epidemiology and Sequence-Based Evolutionary Analysis of Circulating Non-Polio Enteroviruses. Microorganisms. 8(12). 1856–1856. 30 indexed citations
5.
Miller, Jason, Sergey Koren, Kari A. Dilley, et al.. (2018). Analysis of the Aedes albopictus C6/36 genome provides insight into cell line utility for viral propagation. GigaScience. 7(3). 1–13. 47 indexed citations
6.
Brown, David, Alison M. Hixon, Lauren M. Oldfield, et al.. (2018). Contemporary Circulating Enterovirus D68 Strains Have Acquired the Capacity for Viral Entry and Replication in Human Neuronal Cells. mBio. 9(5). 70 indexed citations
7.
Stevenson, Alexander J., Eleanor I Ager, Dubravka Škalamera, et al.. (2018). Mechanism of action of the third generation benzopyrans and evaluation of their broad anti-cancer activity in vitro and in vivo. Scientific Reports. 8(1). 5144–5144. 13 indexed citations
8.
Currier, Mark A., Justine Stehn, Duo Chen, et al.. (2017). Identification of Cancer-Targeted Tropomyosin Inhibitors and Their Synergy with Microtubule Drugs. Molecular Cancer Therapeutics. 16(8). 1555–1565. 36 indexed citations
9.
Alvero, Ayesha B., Andrew Heaton, Mary Pitruzzello, et al.. (2016). TRX-E-002-1 Induces c-Jun–Dependent Apoptosis in Ovarian Cancer Stem Cells and Prevents Recurrence In Vivo. Molecular Cancer Therapeutics. 15(6). 1279–1290. 21 indexed citations
10.
Marinotti, Osvaldo, Nijole Jasinskiene, Sarah Scaife, et al.. (2013). Development of a population suppression strain of the human malaria vector mosquito, Anopheles stephensi. Malaria Journal. 12(1). 142–142. 45 indexed citations
11.
Liu, Can, Kevin Kelnar, Alexander V. Vlassov, et al.. (2012). Distinct microRNA Expression Profiles in Prostate Cancer Stem/Progenitor Cells and Tumor-Suppressive Functions of let-7. Cancer Research. 72(13). 3393–3404. 157 indexed citations
12.
Trang, Phong, Jason F. Wiggins, Christopher Daige, et al.. (2011). Systemic Delivery of Tumor Suppressor microRNA Mimics Using a Neutral Lipid Emulsion Inhibits Lung Tumors in Mice. Molecular Therapy. 19(6). 1116–1122. 525 indexed citations breakdown →
13.
Daige, Chris, et al.. (2011). Abstract C142: The development of a miRNA-based therapeutic candidate for hepatocellular carcinoma.. Molecular Cancer Therapeutics. 10(11_Supplement). C142–C142. 4 indexed citations
14.
Wiggins, Jason F., Lynnsie Ruffino, Kevin Kelnar, et al.. (2010). Development of a Lung Cancer Therapeutic Based on the Tumor Suppressor MicroRNA-34. Cancer Research. 70(14). 5923–5930. 532 indexed citations breakdown →
15.
Brown, David. (2009). Exploring the potential of combination therapies for DME. 8–10. 1 indexed citations
16.
Ovcharenko, Dmitriy, Kevin Kelnar, Charles D. Johnson, Nan Leng, & David Brown. (2007). Genome-Scale MicroRNA and Small Interfering RNA Screens Identify Small RNA Modulators of TRAIL-Induced Apoptosis Pathway. Cancer Research. 67(22). 10782–10788. 186 indexed citations
17.
Johnson, Charles D., Aurora Esquela‐Kerscher, Giovanni Stefani, et al.. (2007). The let-7 MicroRNA Represses Cell Proliferation Pathways in Human Cells. Cancer Research. 67(16). 7713–7722. 1035 indexed citations breakdown →
18.
Brown, David, Florence Goubet, Vicky W.K. Wong, et al.. (2007). Comparison of five xylan synthesis mutants reveals new insight into the mechanisms of xylan synthesis. The Plant Journal. 52(6). 1154–1168. 291 indexed citations
19.
Brown, David, Leo Zeef, Joanne Ellis, Royston Goodacre, & Simon R. Turner. (2005). Identification of Novel Genes in Arabidopsis Involved in Secondary Cell Wall Formation Using Expression Profiling and Reverse Genetics. The Plant Cell. 17(8). 2281–2295. 632 indexed citations breakdown →
20.
Green, Jonathan M., Jan Vinjé, Chris I. Gallimore, et al.. (2001). Erratum. Virus Genes. 23(2). 241–241. 1 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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