Daniel M. Andrews

6.4k total citations
70 papers, 5.0k citations indexed

About

Daniel M. Andrews is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Daniel M. Andrews has authored 70 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Immunology, 14 papers in Molecular Biology and 13 papers in Epidemiology. Recurrent topics in Daniel M. Andrews's work include Immune Cell Function and Interaction (43 papers), T-cell and B-cell Immunology (27 papers) and Immunotherapy and Immune Responses (14 papers). Daniel M. Andrews is often cited by papers focused on Immune Cell Function and Interaction (43 papers), T-cell and B-cell Immunology (27 papers) and Immunotherapy and Immune Responses (14 papers). Daniel M. Andrews collaborates with scholars based in Australia, United States and United Kingdom. Daniel M. Andrews's co-authors include Mark J. Smyth, Mariapia A. Degli‐Esposti, Christopher J. Chan, Christopher E. Andoniou, Anthony A. Scalzo, Marco Colonna, Susan Gilfillan, Hollie J. Pegram, Michael H. Kershaw and Phillip K. Darcy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Daniel M. Andrews

68 papers receiving 4.9k citations

Peers

Daniel M. Andrews
Anthony R. French United States
Jennifer L. Cannons United States
Laurent Brossay United States
Weiguo Cui United States
Daniel M. Andrews
Citations per year, relative to Daniel M. Andrews Daniel M. Andrews (= 1×) peers Matthias Schiemann

Countries citing papers authored by Daniel M. Andrews

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Andrews. 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 Daniel M. Andrews. The network helps show where Daniel M. Andrews may publish in the future.

Co-authorship network of co-authors of Daniel M. Andrews

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Andrews. A scholar is included among the top collaborators of Daniel M. Andrews 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 Daniel M. Andrews. Daniel M. Andrews 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.
Khan, Samiullah, Andrea R. McWhorter, Daniel M. Andrews, et al.. (2024). Vaccine protection of broilers against various doses of wild-type Salmonella Typhimurium and changes in gut microbiota. Veterinary Quarterly. 45(1). 1–14. 3 indexed citations
2.
Scott, Nichollas E., et al.. (2023). Characterisation of N-linked protein glycosylation in the bacterial pathogen Campylobacter hepaticus. Scientific Reports. 13(1). 227–227. 7 indexed citations
3.
McWhorter, Andrea R., et al.. (2023). Investigation of a gel-based delivery method for the administration of a live, attenuated Salmonella Typhimurium vaccine. Veterinary Microbiology. 280. 109721–109721. 6 indexed citations
4.
Sutton, Vivien R., et al.. (2022). The effects of B‐cell–activating factor on the population size, maturation and function of murine natural killer cells. Immunology and Cell Biology. 100(10). 761–776. 3 indexed citations
5.
Goodall, Katharine J., Angela Nguyen, Daniel M. Andrews, & Lucy C. Sullivan. (2021). Ribosylation of the CD8αβ heterodimer permits binding of the nonclassical major histocompatibility molecule, H2-Q10. Journal of Biological Chemistry. 297(4). 101141–101141. 1 indexed citations
6.
Goodall, Katharine J., Angela Nguyen, Aya Matsumoto, et al.. (2018). Multiple receptors converge on H2‐Q10 to regulate NK and γδT‐cell development. Immunology and Cell Biology. 97(3). 326–339. 10 indexed citations
7.
Rautela, Jai, Nikola Baschuk, Clare Y. Slaney, et al.. (2015). Loss of Host Type-I IFN Signaling Accelerates Metastasis and Impairs NK-cell Antitumor Function in Multiple Models of Breast Cancer. Cancer Immunology Research. 3(11). 1207–1217. 60 indexed citations
8.
Jenkins, Misty R., Jesse A. Rudd-Schmidt, Jamie Lopez Bernal, et al.. (2015). Failed CTL/NK cell killing and cytokine hypersecretion are directly linked through prolonged synapse time. The Journal of Experimental Medicine. 212(3). 307–317. 174 indexed citations
9.
Kupz, Andreas, Timothy A. Scott, Gabrielle T. Belz, et al.. (2013). Contribution of Thy1 + NK cells to protective IFN-γ production during Salmonella Typhimurium infections. Proceedings of the National Academy of Sciences. 110(6). 2252–2257. 80 indexed citations
10.
O’Sullivan, Timothy E., Robert Saddawi‐Konefka, William Vermi, et al.. (2012). Cancer immunoediting by the innate immune system in the absence of adaptive immunity. The Journal of Experimental Medicine. 209(10). 1869–1882. 257 indexed citations
11.
Sceneay, Jaclyn, Melvyn T. Chow, Anna Chen, et al.. (2012). Primary Tumor Hypoxia Recruits CD11b+/Ly6Cmed/Ly6G+ Immune Suppressor Cells and Compromises NK Cell Cytotoxicity in the Premetastatic Niche. Cancer Research. 72(16). 3906–3911. 296 indexed citations
12.
Saddawi‐Konefka, Robert, Timothy E. O’Sullivan, William Vermi, et al.. (2012). Cancer immunoediting by the innate immune system in the absence of adaptive immunity (162.3). The Journal of Immunology. 188(1_Supplement). 162.3–162.3. 7 indexed citations
13.
Andrews, Daniel M., Marie J. Estcourt, Christopher E. Andoniou, et al.. (2010). Innate immunity defines the capacity of antiviral T cells to limit persistent infection. The Journal of Experimental Medicine. 207(6). 1333–1343. 173 indexed citations
14.
Chan, Christopher J., Daniel M. Andrews, Nicole M. McLaughlin, et al.. (2009). DNAM-1/CD155 Interactions Promote Cytokine and NK Cell-Mediated Suppression of Poorly Immunogenic Melanoma Metastases. The Journal of Immunology. 184(2). 902–911. 156 indexed citations
15.
Hayakawa, Yoshihiro, Daniel M. Andrews, & Mark J. Smyth. (2009). Subset Analysis of Human and Mouse Mature NK Cells. Methods in molecular biology. 612. 27–38. 21 indexed citations
16.
Watt, Sally V., Daniel M. Andrews, Kazuyoshi Takeda, Mark J. Smyth, & Yoshihiro Hayakawa. (2008). IFN-γ-Dependent Recruitment of Mature CD27high NK Cells to Lymph Nodes Primed by Dendritic Cells. The Journal of Immunology. 181(8). 5323–5330. 51 indexed citations
17.
Chan, Christopher J., Daniel M. Andrews, & Mark J. Smyth. (2008). Can NK cells be a therapeutic target in human diseases?. European Journal of Immunology. 38(11). 2964–2968. 25 indexed citations
18.
Andoniou, Christopher E., Serani L.H. van Dommelen, Valentina Voigt, et al.. (2005). Interaction between conventional dendritic cells and natural killer cells is integral to the activation of effective antiviral immunity. Nature Immunology. 6(10). 1011–1019. 232 indexed citations
19.
Andrews, Daniel M., Anthony A. Scalzo, Wayne M. Yokoyama, Mark J. Smyth, & Mariapia A. Degli‐Esposti. (2002). Functional interactions between dendritic cells and NK cells during viral infection. Nature Immunology. 4(2). 175–181. 280 indexed citations
20.
Andrews, Daniel M., et al.. (2001). NK1.1+ Cells and Murine Cytomegalovirus Infection: What Happens In Situ?. The Journal of Immunology. 166(3). 1796–1802. 46 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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