Andrew Gibson

6.0k total citations · 1 hit paper
86 papers, 3.3k citations indexed

About

Andrew Gibson is a scholar working on Immunology, Pharmacology and Molecular Biology. According to data from OpenAlex, Andrew Gibson has authored 86 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 24 papers in Pharmacology and 22 papers in Molecular Biology. Recurrent topics in Andrew Gibson's work include Drug-Induced Adverse Reactions (24 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and T-cell and B-cell Immunology (15 papers). Andrew Gibson is often cited by papers focused on Drug-Induced Adverse Reactions (24 papers), Monoclonal and Polyclonal Antibodies Research (15 papers) and T-cell and B-cell Immunology (15 papers). Andrew Gibson collaborates with scholars based in United States, United Kingdom and Australia. Andrew Gibson's co-authors include Robert P. Kimberly, Jeffrey C. Edberg, Elizabeth J. Phillips, Jianming Wu, T. Huizinga, Rudi G. J. Westendorp, Xinrui Li, Dean J. Naisbitt, Ana Maria Copaescu and Jason A. Trubiano and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Andrew Gibson

83 papers receiving 3.2k citations

Hit Papers

Drug-Induced Hypersensitivity Syndrome (DIHS)/Drug Reacti... 2022 2026 2023 2024 2022 25 50 75

Peers

Andrew Gibson
Steven G. Nadler United States
Frank H. Valone United States
J. R. Kalden Germany
Daniella M. Schwartz United States
Stefano Fiore United States
Susan L. Kelley United States
Laura G. Corral United States
Hugh M. Davis United States
Steven G. Nadler United States
Andrew Gibson
Citations per year, relative to Andrew Gibson Andrew Gibson (= 1×) peers Steven G. Nadler

Countries citing papers authored by Andrew Gibson

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Gibson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Gibson

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Gibson. A scholar is included among the top collaborators of Andrew Gibson 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 Gibson. Andrew Gibson 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.
Gardner, Joshua, Paul Thomson, Andrew Gibson, et al.. (2025). Elucidating CD4+ and CD8+ T-cell involvement in patients with vancomycin-induced DRESS. Toxicological Sciences. 206(2). 420–432.
2.
Gardner, Joshua, Rebecca L. Jensen, Andrew Gibson, et al.. (2024). Glycolysis: An early marker for vancomycin‐specific T‐cell activation. Clinical & Experimental Allergy. 54(1). 21–33. 3 indexed citations
3.
Gibson, Andrew, Matthew S. Krantz, Eric Mukherjee, et al.. (2023). Updates on the immunopathology and genomics of severe cutaneous adverse drug reactions. Journal of Allergy and Clinical Immunology. 151(2). 289–300.e4. 42 indexed citations
4.
Olsson‐Brown, Anna, Andrew Gibson, Joshua Gardner, et al.. (2021). Checkpoint Inhibition Reduces the Threshold for Drug-Specific T-Cell Priming and Increases the Incidence of Sulfasalazine Hypersensitivity. Toxicological Sciences. 186(1). 58–69. 27 indexed citations
5.
Gibson, Andrew, Olivia Hough, Yüksel Ağca, et al.. (2021). Precocious White Matter Inflammation and Behavioural Inflexibility Precede Learning and Memory Impairment in the TgAPP21 Rat Model of Alzheimer Disease. Molecular Neurobiology. 58(10). 5014–5030. 3 indexed citations
6.
Balko, Justin M., et al.. (2020). Evolving insights into the mechanisms of toxicity associated with immune checkpoint inhibitor therapy. British Journal of Clinical Pharmacology. 86(9). 1778–1789. 45 indexed citations
7.
Jiménez‐Ruiz, Amado, et al.. (2020). Determinants of in-hospital death in patients with a thrombus straddling a patent foramen ovale: protocol of a systematic review. F1000Research. 9. 1437–1437. 1 indexed citations
8.
Belley‐Côté, Emilie P., Richard Whitlock, Kimia Honarmand, et al.. (2019). The PROTROPIC feasibility study: prognostic value of elevated troponins in critical illness. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 66(6). 648–657. 3 indexed citations
9.
Jones, Nicholas, et al.. (2018). C-Reactive Protein Impairs Dendritic Cell Development, Maturation, and Function: Implications for Peripheral Tolerance. Frontiers in Immunology. 9. 372–372. 41 indexed citations
10.
Waite, Lindsay L., Benjamin Alan Weaver, Kenneth Day, et al.. (2016). Estimation of Cell-Type Composition Including T and B Cell Subtypes for Whole Blood Methylation Microarray Data. Frontiers in Genetics. 7. 23–23. 17 indexed citations
11.
Monshi, Manal, Lee Faulkner, Andrew Gibson, et al.. (2012). Human Leukocyte Antigen (HLA)-B*57:01-Restricted Activation of Drug-Specific T cells Provides the Immunological Basis for Flucloxacillin-Induced Liver Injury. Hepatology. 57(2). 727–739. 193 indexed citations
12.
Wu, Jianming, Maureen Richards, Jinhai Huang, et al.. (2011). Human FasL Gene Is a Target of β-Catenin/T-Cell Factor Pathway and Complex FasL Haplotypes Alter Promoter Functions. PLoS ONE. 6(10). e26143–e26143. 15 indexed citations
13.
Su, Kaihong, Hengxuan Yang, Xinrui Li, et al.. (2007). Expression Profile of FcγRIIb on Leukocytes and Its Dysregulation in Systemic Lupus Erythematosus. The Journal of Immunology. 178(5). 3272–3280. 152 indexed citations
14.
Qin, Hongwei, Jeffrey C. Edberg, Andrew Gibson, et al.. (2004). Differential Gene Expression Modulated by the Cytoplasmic Domain of FcγRIa (CD64) α-Chain. The Journal of Immunology. 173(10). 6211–6219. 9 indexed citations
15.
16.
Pal, Ranajit, James S. Foulke, Ruth Woodward, et al.. (2003). Characterization of a Simian Human Immunodeficiency Virus Encoding the Envelope Gene from the CCR5-Tropic HIV-1 Ba-L. JAIDS Journal of Acquired Immune Deficiency Syndromes. 33(3). 300–307. 35 indexed citations
17.
Lu, Xianghuai, Robert C. Axtell, James F. Collawn, et al.. (2002). AP2 Adaptor Complex-Dependent Internalization of CD5: Differential Regulation in T and B Cells. The Journal of Immunology. 168(11). 5612–5620. 27 indexed citations
18.
Wu, Jianming, Jeffrey C. Edberg, Andrew Gibson, & Robert P. Kimberly. (2002). Conservation of FceRI gamma chain coding region in normals and in SLE patients. Lupus. 11(1). 42–45. 7 indexed citations
19.
Gibson, Andrew, Jeffrey C. Edberg, Jianming Wu, et al.. (2001). Novel Single Nucleotide Polymorphisms in the Distal IL-10 Promoter Affect IL-10 Production and Enhance the Risk of Systemic Lupus Erythematosus. The Journal of Immunology. 166(6). 3915–3922. 319 indexed citations
20.
Hu, Zhen, et al.. (1999). Functional domain analysis of the Saccharomyces MAL-activator. Current Genetics. 36(1-2). 1–12. 27 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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