Rachael Keating

2.2k total citations
18 papers, 1.8k citations indexed

About

Rachael Keating is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Rachael Keating has authored 18 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 11 papers in Epidemiology and 3 papers in Oncology. Recurrent topics in Rachael Keating's work include Immune Cell Function and Interaction (14 papers), Influenza Virus Research Studies (9 papers) and T-cell and B-cell Immunology (8 papers). Rachael Keating is often cited by papers focused on Immune Cell Function and Interaction (14 papers), Influenza Virus Research Studies (9 papers) and T-cell and B-cell Immunology (8 papers). Rachael Keating collaborates with scholars based in United States, Australia and Japan. Rachael Keating's co-authors include Peter C. Doherty, Paul G. Thomas, D. J. Hulse-Post, Mark J. Smyth, Konstantinos Kyparissoudis, Dale I. Godfrey, Nadine Y. Crowe, Yoshihiro Hayakawa, Scott A. Brown and Jonathan M. Coquet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Nature Immunology.

In The Last Decade

Rachael Keating

18 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachael Keating United States 15 1.3k 810 251 210 204 18 1.8k
Lene Malmgaard Denmark 14 1.2k 0.9× 626 0.8× 244 1.0× 207 1.0× 183 0.9× 17 1.6k
W Allan United States 16 1.4k 1.1× 837 1.0× 159 0.6× 182 0.9× 142 0.7× 26 1.8k
Jiří Kovařík Switzerland 23 802 0.6× 464 0.6× 290 1.2× 183 0.9× 283 1.4× 53 1.7k
Ole J. Hamming Denmark 12 1.0k 0.8× 439 0.5× 196 0.8× 335 1.6× 315 1.5× 14 1.6k
Estanislao Nistal‐Villán Spain 21 1.1k 0.8× 525 0.6× 653 2.6× 320 1.5× 234 1.1× 46 1.7k
Shiki Takamura Japan 26 1.5k 1.1× 412 0.5× 353 1.4× 322 1.5× 367 1.8× 53 2.1k
Hans Henrik Gad Denmark 22 1.4k 1.1× 638 0.8× 626 2.5× 789 3.8× 336 1.6× 38 2.4k
Kurt H. Edelmann United States 11 1.0k 0.8× 504 0.6× 220 0.9× 380 1.8× 154 0.8× 16 1.7k
Victoria S. Carter United States 16 766 0.6× 784 1.0× 454 1.8× 460 2.2× 102 0.5× 18 1.7k
Xiao-Ning Xu United Kingdom 7 853 0.7× 679 0.8× 371 1.5× 676 3.2× 75 0.4× 7 1.7k

Countries citing papers authored by Rachael Keating

Since Specialization
Citations

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

Fields of papers citing papers by Rachael Keating

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachael Keating

This figure shows the co-authorship network connecting the top 25 collaborators of Rachael Keating. A scholar is included among the top collaborators of Rachael Keating 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 Rachael Keating. Rachael Keating is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
2.
McGargill, Maureen A., M. R. A. Pillai, Chun-Yang Lin, et al.. (2020). Immune tolerance limits effective immunity to epitopes targeted by universal influenza vaccines. The Journal of Immunology. 204(1_Supplement). 245.4–245.4. 1 indexed citations
3.
Keating, Rachael, Melissa Y. Morris, Wen Wen Yue, et al.. (2018). Potential killers exposed: tracking endogenous influenza‐specific CD8+ T cells. Immunology and Cell Biology. 96(10). 1104–1119. 7 indexed citations
4.
Keating, Rachael & Maureen A. McGargill. (2016). mTOR Regulation of Lymphoid Cells in Immunity to Pathogens. Frontiers in Immunology. 7. 180–180. 35 indexed citations
5.
Keating, Rachael, Tomer Hertz, Marie Wehenkel, et al.. (2013). The kinase mTOR modulates the antibody response to provide cross-protective immunity to lethal infection with influenza virus. Nature Immunology. 14(12). 1266–1276. 156 indexed citations
6.
Boltz, David A., Patrick Seiler, Elena A. Govorkova, et al.. (2009). Emergence of H5N1 avian influenza viruses with reduced sensitivity to neuraminidase inhibitors and novel reassortants in Lao People's Democratic Republic. Journal of General Virology. 91(4). 949–959. 87 indexed citations
7.
Boltz, David A., Bounlom Douangngeun, Phouvong Phommachanh, et al.. (2009). Field assessment of an H5N1 inactivated vaccine in chickens and ducks in Lao PDR. Archives of Virology. 154(6). 939–944. 19 indexed citations
8.
Rutigliano, John A., Melissa Y. Morris, Wen Wen Yue, et al.. (2009). Protective Memory Responses Are Modulated by Priming Events prior to Challenge. Journal of Virology. 84(2). 1047–1056. 14 indexed citations
9.
Thomas, Paul G., Scott A. Brown, Rachael Keating, et al.. (2007). Hidden Epitopes Emerge in Secondary Influenza Virus-Specific CD8+ T Cell Reponses. The Journal of Immunology. 178(5). 3091–3098. 49 indexed citations
10.
Keating, Rachael, et al.. (2007). Virus-Specific CD8+ T Cells in the Liver: Armed and Ready to Kill. The Journal of Immunology. 178(5). 2737–2745. 26 indexed citations
11.
Kedzierska, Katherine, John Stambas, Misty R. Jenkins, et al.. (2007). Location rather than CD62L phenotype is critical in the early establishment of influenza-specific CD8 + T cell memory. Proceedings of the National Academy of Sciences. 104(23). 9782–9787. 41 indexed citations
12.
Huber, Victor C., M.N. Brackin, Laura A. Miller, et al.. (2006). Distinct Contributions of Vaccine-Induced Immunoglobulin G1 (IgG1) and IgG2a Antibodies to Protective Immunity against Influenza. Clinical and Vaccine Immunology. 13(9). 981–990. 258 indexed citations
13.
Thomas, Paul G., Rachael Keating, D. J. Hulse-Post, & Peter C. Doherty. (2006). Cell-mediated Protection in Influenza Infection. Emerging infectious diseases. 12(1). 48–54. 366 indexed citations
14.
Pellicci, Daniel G., Kirsten J. L. Hammond, Jonathan M. Coquet, et al.. (2005). DX5/CD49b-Positive T Cells Are Not Synonymous with CD1d-Dependent NKT Cells. The Journal of Immunology. 175(7). 4416–4425. 37 indexed citations
15.
Crowe, Nadine Y., Jonathan M. Coquet, Stuart P. Berzins, et al.. (2005). Differential antitumor immunity mediated by NKT cell subsets in vivo. The Journal of Experimental Medicine. 202(9). 1279–1288. 306 indexed citations
16.
Cornish, Ann L., Rachael Keating, Konstantinos Kyparissoudis, et al.. (2005). NKT cells are not critical for HSV‐1 disease resolution. Immunology and Cell Biology. 84(1). 13–19. 37 indexed citations
17.
Crowe, Nadine Y., Adam P. Uldrich, Konstantinos Kyparissoudis, et al.. (2003). Glycolipid Antigen Drives Rapid Expansion and Sustained Cytokine Production by NK T Cells. The Journal of Immunology. 171(8). 4020–4027. 243 indexed citations
18.
Wallace, Morgan E., Rachael Keating, William R. Heath, & Federico Carbone. (1999). The Cytotoxic T-Cell Response to Herpes Simplex Virus Type 1 Infection of C57BL/6 Mice Is Almost Entirely Directed against a Single Immunodominant Determinant. Journal of Virology. 73(9). 7619–7626. 133 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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