David J. Gordon

41.3k total citations · 8 hit papers
231 papers, 32.8k citations indexed

About

David J. Gordon is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, David J. Gordon has authored 231 papers receiving a total of 32.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 37 papers in Cardiology and Cardiovascular Medicine and 36 papers in Physiology. Recurrent topics in David J. Gordon's work include Cell Adhesion Molecules Research (19 papers), Atherosclerosis and Cardiovascular Diseases (18 papers) and Lipoproteins and Cardiovascular Health (14 papers). David J. Gordon is often cited by papers focused on Cell Adhesion Molecules Research (19 papers), Atherosclerosis and Cardiovascular Diseases (18 papers) and Lipoproteins and Cardiovascular Health (14 papers). David J. Gordon collaborates with scholars based in United States, United Kingdom and Canada. David J. Gordon's co-authors include Robert H. Eckel, Fernando Costa, Stephen R. Daniels, Karen A. Donato, Scott M. Grundy, Peter J. Savage, Ronald M. Krauss, James I. Cleeman, John A. Spertus and Sidney C. Smith and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

David J. Gordon

223 papers receiving 31.5k citations

Hit Papers

Diagnosis and Management ... 1989 2026 2001 2013 2005 1989 2005 1989 1989 2.5k 5.0k 7.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David J. Gordon 8.5k 7.6k 6.5k 6.3k 5.3k 231 32.8k
Lisa Sullivan 7.0k 0.8× 4.0k 0.5× 4.2k 0.6× 8.7k 1.4× 4.6k 0.9× 393 35.1k
Terho Lehtimäki 4.0k 0.5× 6.3k 0.8× 3.8k 0.6× 6.6k 1.1× 4.4k 0.8× 863 28.0k
Steve E. Humphries 10.0k 1.2× 7.9k 1.0× 14.3k 2.2× 10.0k 1.6× 4.3k 0.8× 872 42.3k
John Danesh 4.0k 0.5× 3.9k 0.5× 5.8k 0.9× 5.5k 0.9× 3.5k 0.7× 129 29.9k
Jacques Genest 10.5k 1.2× 8.6k 1.1× 16.0k 2.5× 13.0k 2.1× 3.4k 0.6× 709 40.4k
Friedrich C. Luft 9.1k 1.1× 12.8k 1.7× 6.8k 1.0× 16.9k 2.7× 8.8k 1.7× 1.1k 50.6k
R. Wayne Alexander 5.2k 0.6× 11.2k 1.5× 5.3k 0.8× 14.1k 2.2× 8.6k 1.6× 198 35.4k
Roger Bouillon 13.0k 1.5× 8.2k 1.1× 4.9k 0.8× 2.0k 0.3× 4.9k 0.9× 585 46.0k
Peter Ganz 4.9k 0.6× 4.1k 0.5× 10.0k 1.5× 14.9k 2.4× 6.0k 1.1× 413 38.1k
Claus Christiansen 7.7k 0.9× 11.3k 1.5× 6.4k 1.0× 2.2k 0.4× 4.8k 0.9× 681 45.7k

Countries citing papers authored by David J. Gordon

Since Specialization
Citations

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

Fields of papers citing papers by David J. Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Gordon

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Gordon. A scholar is included among the top collaborators of David J. Gordon 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 J. Gordon. David J. Gordon 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.
Koppenhafer, Stacia L., et al.. (2025). Histone Deacetylase Inhibitors Target DNA Replication Regulators and Replication Stress in Ewing Sarcoma Cells. Cancer Research Communications. 5(6). 1034–1048.
2.
3.
Edelman, Morris, et al.. (2023). A Rare Case of Intraosseous Papillary Hemangioma of the Head and Neck. International Journal of Surgical Pathology. 32(2). 418–421. 2 indexed citations
4.
Koppenhafer, Stacia L., et al.. (2023). Activator Protein-1 (AP-1) Signaling Inhibits the Growth of Ewing Sarcoma Cells in Response to DNA Replication Stress. Cancer Research Communications. 3(8). 1580–1593. 7 indexed citations
5.
Blum, Joanne L., David J. Gordon, Meghan Karuturi, et al.. (2023). Outcomes of male patients with HR+/HER2– advanced breast cancer receiving palbociclib in the real-world POLARIS study. Breast Cancer Research and Treatment. 203(3). 463–475. 8 indexed citations
6.
Leidinger, Mariah, Stacia L. Koppenhafer, David J. Gordon, et al.. (2022). Oncogenic RABL6A promotes NF1-associated MPNST progression in vivo. Neuro-Oncology Advances. 4(1). vdac047–vdac047. 5 indexed citations
7.
Gutierrez, Wade R., Vickie Knepper-Adrian, Dawn E. Quelle, et al.. (2022). Augmenting chemotherapy with low-dose decitabine through an immune-independent mechanism. JCI Insight. 7(22). 7 indexed citations
8.
Gordon, David J., et al.. (2022). Propulsion efficiency of achiral microswimmers in viscoelastic polymer fluids. AIChE Journal. 69(4). 2 indexed citations
9.
Koppenhafer, Stacia L., Kelli L. Goss, William W. Terry, & David J. Gordon. (2019). Inhibition of the ATR–CHK1 Pathway in Ewing Sarcoma Cells Causes DNA Damage and Apoptosis via the CDK2-Mediated Degradation of RRM2. Molecular Cancer Research. 18(1). 91–104. 47 indexed citations
10.
Buranasudja, Visarut, Claire M. Doskey, Brett A. Wagner, et al.. (2019). Pharmacologic Ascorbate Primes Pancreatic Cancer Cells for Death by Rewiring Cellular Energetics and Inducing DNA Damage. Molecular Cancer Research. 17(10). 2102–2114. 24 indexed citations
11.
Koppenhafer, Stacia L., Kelli L. Goss, William W. Terry, & David J. Gordon. (2018). mTORC1/2 and Protein Translation Regulate Levels of CHK1 and the Sensitivity to CHK1 Inhibitors in Ewing Sarcoma Cells. Molecular Cancer Therapeutics. 17(12). 2676–2688. 31 indexed citations
12.
Widen, John C., et al.. (2018). SN-38 Conjugated Gold Nanoparticles Activated by Ewing Sarcoma Specific mRNAs Exhibit In Vitro and In Vivo Efficacy. Bioconjugate Chemistry. 29(4). 1111–1118. 16 indexed citations
13.
Middleton, C. A., et al.. (2007). Fibronectin silanized titanium alloy: A bioinductive and durable coating to enhance fibroblast attachment in vitro. UCL Discovery (University College London). 4 indexed citations
14.
Sciarretta, Kimberly L., David J. Gordon, & Stephen C. Meredith. (2006). Peptide‐Based Inhibitors of Amyloid Assembly. Methods in enzymology on CD-ROM/Methods in enzymology. 413. 273–312. 130 indexed citations
15.
Ridker, Paul M., Nancy R. Cook, I‐Min Lee, et al.. (2005). A Randomized Trial of Low-Dose Aspirin in the Primary Prevention of Cardiovascular Disease in Women. Obstetrical & Gynecological Survey. 60(8). 519–521. 85 indexed citations
16.
Shaw, Mary, Daniel Dorling, David J. Gordon, & George Davey Smith. (1999). The widening gap. Policy Press eBooks. 1 indexed citations
17.
OSTLERE, L.S., et al.. (1997). Substance P binding to peripheral blood mononuclear leukocytes in atopic dermatitis.. Acta Dermato Venereologica. 77(4). 260–263. 4 indexed citations
19.
Coughlin, Shaun R., et al.. (1991). Monocyte chemoattractant protein-1 in human atheromatous plaques.. Journal of Clinical Investigation. 88(4). 1121–1127. 747 indexed citations breakdown →
20.
Wilcox, J N, Kevin M. Smith, L T Williams, Stephen M. Schwartz, & David J. Gordon. (1988). Platelet-derived growth factor mRNA detection in human atherosclerotic plaques by in situ hybridization.. Journal of Clinical Investigation. 82(3). 1134–1143. 405 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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