Andrew E. Hogan

4.4k total citations · 1 hit paper
64 papers, 3.2k citations indexed

About

Andrew E. Hogan is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Andrew E. Hogan has authored 64 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Immunology, 18 papers in Epidemiology and 10 papers in Oncology. Recurrent topics in Andrew E. Hogan's work include Immune Cell Function and Interaction (37 papers), Adipokines, Inflammation, and Metabolic Diseases (16 papers) and T-cell and B-cell Immunology (15 papers). Andrew E. Hogan is often cited by papers focused on Immune Cell Function and Interaction (37 papers), Adipokines, Inflammation, and Metabolic Diseases (16 papers) and T-cell and B-cell Immunology (15 papers). Andrew E. Hogan collaborates with scholars based in Ireland, United States and United Kingdom. Andrew E. Hogan's co-authors include Donal O’Shea, Lydia Lynch, Jeff Connell, Mark A. Exley, Cliona O’Farrelly, Michelle Corrigan, Derek G. Doherty, Vincent O’Reilly, Gadintshware Gaoatswe and Danielle Duquette and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Andrew E. Hogan

59 papers receiving 3.2k citations

Hit Papers

Metabolic reprogramming of natural killer cells in obesit... 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew E. Hogan Ireland 30 1.9k 953 670 558 456 64 3.2k
Barbara S. Nikolajczyk United States 35 1.7k 0.9× 1.1k 1.2× 724 1.1× 1.3k 2.3× 376 0.8× 78 4.1k
Pietro Di Lucia Italy 18 1.2k 0.7× 481 0.5× 360 0.5× 338 0.6× 497 1.1× 25 2.7k
Fortunata Carbone Italy 23 1.0k 0.5× 520 0.5× 357 0.5× 389 0.7× 236 0.5× 35 2.2k
Gary Faulds United Kingdom 7 780 0.4× 560 0.6× 334 0.5× 482 0.9× 321 0.7× 8 2.3k
Ctirad Andrýs Czechia 26 928 0.5× 894 0.9× 270 0.4× 429 0.8× 227 0.5× 229 2.7k
Jolanta Myśliwska Poland 30 2.0k 1.1× 636 0.7× 200 0.3× 515 0.9× 518 1.1× 125 3.8k
Shingo Fujii Japan 45 770 0.4× 542 0.6× 435 0.6× 760 1.4× 476 1.0× 115 5.0k
Lidia Bosurgi Germany 22 2.1k 1.1× 346 0.4× 339 0.5× 913 1.6× 399 0.9× 34 3.6k
Rachel Chicheportiche Switzerland 23 1.0k 0.6× 504 0.5× 459 0.7× 508 0.9× 343 0.8× 32 2.6k
Antonio Mera Spain 26 432 0.2× 569 0.6× 474 0.7× 471 0.8× 277 0.6× 78 2.6k

Countries citing papers authored by Andrew E. Hogan

Since Specialization
Citations

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

Fields of papers citing papers by Andrew E. Hogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew E. Hogan. 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 Andrew E. Hogan. The network helps show where Andrew E. Hogan may publish in the future.

Co-authorship network of co-authors of Andrew E. Hogan

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew E. Hogan. A scholar is included among the top collaborators of Andrew E. Hogan 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 Andrew E. Hogan. Andrew E. Hogan 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.
Ankrum, James A., et al.. (2025). Palmitate enhances MSC immunomodulation of human macrophages via the ceramide/CCL2 axis in vitro. Stem Cell Research & Therapy. 16(1). 435–435.
2.
Hogan, Andrew E., et al.. (2025). Repurposing metabolic drugs as anti-inflammatory agents. Trends in Endocrinology and Metabolism.
3.
Ryan, Sinéad, Louise Crowe, Matthew D. Galbraith, et al.. (2024). Metabolic dysfunction mediated by HIF-1α contributes to epithelial differentiation defects in eosinophilic esophagitis. Journal of Allergy and Clinical Immunology. 154(6). 1472–1488. 2 indexed citations
5.
Hernandez-Santana, Yasmina, et al.. (2024). Serum IL-36β levels are associated with Insulin sensitivity in paediatric patients with obesity. International Journal of Obesity. 48(7). 1036–1038. 1 indexed citations
6.
Jenkins, Benjamin, Helen Heneghan, Fiona Walsh, et al.. (2024). Iron Is Critical for Mucosal-Associated Invariant T Cell Metabolism and Effector Functions. The Journal of Immunology. 212(11). 1706–1713. 4 indexed citations
7.
Kedia-Mehta, Nidhi & Andrew E. Hogan. (2023). MAITabolism2 – the emerging understanding of MAIT cell metabolism and their role in metabolic disease. Frontiers in Immunology. 13. 1108071–1108071. 5 indexed citations
8.
Kedia-Mehta, Nidhi, Cathriona Foley, Nicole Wood, et al.. (2023). The proliferation of human mucosal-associated invariant T cells requires a MYC-SLC7A5-glycolysis metabolic axis. Science Signaling. 16(781). eabo2709–eabo2709. 15 indexed citations
9.
Khalil, Mohammed S., et al.. (2023). Glucagon‐like peptide‐1 therapy in people with obesity restores natural killer cell metabolism and effector function. Obesity. 31(7). 1787–1797. 29 indexed citations
10.
Cassidy, Féaron C., Nidhi Kedia-Mehta, Ronan Bergin, et al.. (2023). Glycogen-fuelled metabolism supports rapid mucosal-associated invariant T cell responses. Proceedings of the National Academy of Sciences. 120(25). e2300566120–e2300566120. 7 indexed citations
11.
Kelly, N., et al.. (2022). Antigen specific T cells in people with obesity at five months following ChAdOx1 COVID-19 vaccination. International Journal of Obesity. 47(1). 83–86. 2 indexed citations
12.
Dyck, Lydia, Hannah Prendeville, Mathilde Raverdeau, et al.. (2022). Suppressive effects of the obese tumor microenvironment on CD8 T cell infiltration and effector function. The Journal of Experimental Medicine. 219(3). 60 indexed citations
13.
Kelly, N., Grace Kenny, Féaron C. Cassidy, et al.. (2022). Individuals with obesity who survive SARS‐CoV‐2 infection have preserved antigen‐specific T cell frequencies. Obesity. 30(10). 1927–1931. 2 indexed citations
14.
Schwartz, Christian, Emily Hams, Christian Krautz, et al.. (2022). Innate PD-L1 limits T cell–mediated adipose tissue inflammation and ameliorates diet-induced obesity. Science Translational Medicine. 14(635). eabj6879–eabj6879. 34 indexed citations
15.
Cooper, Andrew J. R., et al.. (2022). Human MAIT Cells Respond to Staphylococcus aureus with Enhanced Anti-Bacterial Activity. Microorganisms. 10(1). 148–148. 9 indexed citations
16.
Kedia-Mehta, Nidhi, Laura Tobin, Vanessa Zaiatz-Bittencourt, et al.. (2021). Cytokine-induced natural killer cell training is dependent on cellular metabolism and is defective in obesity. Blood Advances. 5(21). 4447–4455. 21 indexed citations
17.
Cassidy, Féaron C., et al.. (2021). Mucosal Associated Invariant T Cells in Cancer-Friend or Foe?. Cancers. 13(7). 1582–1582. 18 indexed citations
18.
Dunne, Margaret R., et al.. (2020). Interleukin‐17 producing mucosal associated invariant T cells ‐ emerging players in chronic inflammatory diseases?. European Journal of Immunology. 50(8). 1098–1108. 23 indexed citations
19.
Naughton, Michelle, Andrew Young, John Falconer, et al.. (2020). CCN3 is dynamically regulated by treatment and disease state in multiple sclerosis. Journal of Neuroinflammation. 17(1). 349–349. 12 indexed citations
20.
O’Shea, Donal & Andrew E. Hogan. (2019). Dysregulation of Natural Killer Cells in Obesity. Cancers. 11(4). 573–573. 80 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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