David J. Fast

1.4k total citations
26 papers, 1.1k citations indexed

About

David J. Fast is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, David J. Fast has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 12 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in David J. Fast's work include Immune Response and Inflammation (7 papers), Immune cells in cancer (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). David J. Fast is often cited by papers focused on Immune Response and Inflammation (7 papers), Immune cells in cancer (4 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). David J. Fast collaborates with scholars based in United States and Canada. David J. Fast's co-authors include Patrick M. Schlievert, Robert D. Nelson, Gregory A. Bohach, Richard W. Leu, Charles A. Stewart, Hong Jiang, Rodney A. Velliquette, Adeola M. Alashi, Rotimi E. Aluko and Jeffrey D. Scholten and has published in prestigious journals such as The Journal of Immunology, Food Chemistry and Infection and Immunity.

In The Last Decade

David J. Fast

26 papers receiving 1.1k 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 J. Fast United States 14 448 412 310 242 162 26 1.1k
Masataka Oda Japan 24 378 0.8× 577 1.4× 228 0.7× 426 1.8× 82 0.5× 41 1.2k
Lee Faulkner United Kingdom 20 335 0.7× 225 0.5× 207 0.7× 183 0.8× 152 0.9× 35 1.3k
Ching Wen Tseng United States 14 270 0.6× 508 1.2× 160 0.5× 383 1.6× 137 0.8× 17 920
Liana C. Chan United States 15 351 0.8× 468 1.1× 88 0.3× 525 2.2× 214 1.3× 26 1.1k
Stacey X. Xu Canada 12 283 0.6× 332 0.8× 129 0.4× 363 1.5× 173 1.1× 16 967
Annalisa Lembo United States 12 439 1.0× 175 0.4× 133 0.4× 308 1.3× 184 1.1× 16 1.0k
Hiroo Hasegawa Japan 23 873 1.9× 213 0.5× 95 0.3× 572 2.4× 307 1.9× 149 2.0k
Daniel Barkan Israel 19 200 0.4× 382 0.9× 170 0.5× 468 1.9× 447 2.8× 42 1.4k
Kuppamuthu Dharmalingam India 21 173 0.4× 216 0.5× 189 0.6× 559 2.3× 133 0.8× 78 1.2k
Wildriss Viranaïcken France 21 237 0.5× 408 1.0× 508 1.6× 421 1.7× 247 1.5× 56 1.4k

Countries citing papers authored by David J. Fast

Since Specialization
Citations

This map shows the geographic impact of David J. Fast'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. Fast 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. Fast more than expected).

Fields of papers citing papers by David J. Fast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Fast. A scholar is included among the top collaborators of David J. Fast 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. Fast. David J. Fast 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.
Zhang, Xue, Liang Chen, Chun Hu, et al.. (2022). Curcumin attenuates poly(I:C)-induced immune and inflammatory responses in mouse macrophages by inhibiting TLR3/TBK1/IFNB cascade. Journal of Functional Foods. 89. 104949–104949. 7 indexed citations
2.
Velliquette, Rodney A., et al.. (2020). Enzymatically derived sunflower protein hydrolysate and peptides inhibit NFκB and promote monocyte differentiation to a dendritic cell phenotype. Food Chemistry. 319. 126563–126563. 35 indexed citations
3.
Missler, Stephen R., Arun Rajgopal, Jeffrey D. Scholten, et al.. (2016). Synergistic Activation of the Nrf2-ARE Oxidative Stress Response Pathway by a Combination of Botanical Extracts. Planta Medica International Open. 3(2). e27–e30. 6 indexed citations
4.
Rajgopal, Arun, et al.. (2015). Immunomodulatory Effects of Lippia sidoides Extract: Induction of IL-10 Through cAMP and p38 MAPK-Dependent Mechanisms. Journal of Medicinal Food. 18(3). 370–377. 7 indexed citations
5.
Fast, David J., et al.. (2015). Echinacea purpurea root extract inhibits TNF release in response to Pam3Csk4 in a phosphatidylinositol-3-kinase dependent manner. Cellular Immunology. 297(2). 94–99. 18 indexed citations
6.
Ramakrishnan, S, et al.. (2015). Bone health nutraceuticals alter microarray mRNA gene expression: A randomized, parallel, open-label clinical study. Phytomedicine. 23(1). 18–26. 13 indexed citations
7.
Murray, Mary, I. Ross Garrett, Gloria E. Gutierrez, et al.. (2014). A targeted approach for evaluating preclinical activity of botanical extracts for support of bone health. Journal of Nutritional Science. 3. e13–e13. 7 indexed citations
8.
Fast, David J. & Gerald J. Vosika. (1997). The muramyl dipeptide analog GMTP-N-DPG preferentially induces cellular immunity to soluble antigens. Vaccine. 15(16). 1748–1752. 8 indexed citations
9.
Jiang, Hong, Charles A. Stewart, David J. Fast, & Richard W. Leu. (1996). Tumor-derived recognition factor (TDRF) induces production of TNF-α by murine macrophages, but requires synergy with IFN-γ alone or in combination with IL-2 to induce nitric oxide synthase. International Journal of Immunopharmacology. 18(8-9). 479–490. 3 indexed citations
10.
Jiang, Hong, et al.. (1996). Complement Subcomponent C1q Modulation of TNF‐α Binding to L929 Cells for Enhanced TNF‐Mediated Cytotoxicity. Scandinavian Journal of Immunology. 44(2). 101–107. 3 indexed citations
11.
12.
Fast, David J., et al.. (1993). Cyclosporin A Inhibits Nitric Oxide Production by L929 Cells in Response to Tumor Necrosis Factor and Interferon-γ. Journal of Interferon Research. 13(3). 235–240. 12 indexed citations
13.
Fast, David J., et al.. (1993). Interferon-γ, But Not Interferon-αβ, Synergizes with Tumor Necrosis Factor-α and Lipid A in the Induction of Nitric Oxide Production by Murine L929 Cells. Journal of Interferon Research. 13(4). 271–277. 13 indexed citations
14.
15.
Jiang, Hong, Charles A. Stewart, David J. Fast, & Richard W. Leu. (1992). Tumor target-derived soluble factor synergizes with IFN-γ and IL-2 to activate macrophages for tumor necrosis factor and nitric oxide production to mediate cytotoxicity of the same target. The Journal of Immunology. 149(6). 2137–2146. 49 indexed citations
16.
17.
Staskus, Katherine, Ernest F. Retzel, J.L. Silsby, et al.. (1991). Isolation of replication-competent molecular clones of visna virus. Virology. 181(1). 228–240. 57 indexed citations
18.
Fast, David J., et al.. (1991). Staphylococcal exotoxins stimulate nitric oxide-dependent murine macrophage tumoricidal activity. Infection and Immunity. 59(9). 2987–2993. 33 indexed citations
19.
Bohach, Gregory A., David J. Fast, Robert D. Nelson, & Patrick M. Schlievert. (1990). Staphylococcal and Streptococcal Pyrogenic Toxins Involved in Toxic Shock Syndrome and Related Illnesses. Critical Reviews in Microbiology. 17(4). 251–272. 388 indexed citations
20.
Fast, David J., Patrick M. Schlievert, & Robert D. Nelson. (1988). Nonpurulent response to toxic shock syndrome toxin 1-producing Staphylococcus aureus . Relationship to toxin-stimulated production of tumor necrosis factor.. The Journal of Immunology. 140(3). 949–953. 71 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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