Andrew McDavid

17.2k total citations · 1 hit paper
33 papers, 2.6k citations indexed

About

Andrew McDavid is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andrew McDavid has authored 33 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Immunology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andrew McDavid's work include Single-cell and spatial transcriptomics (7 papers), Systemic Lupus Erythematosus Research (4 papers) and Neonatal Respiratory Health Research (4 papers). Andrew McDavid is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Systemic Lupus Erythematosus Research (4 papers) and Neonatal Respiratory Health Research (4 papers). Andrew McDavid collaborates with scholars based in United States, United Kingdom and Cameroon. Andrew McDavid's co-authors include Raphaël Gottardo, Greg Finak, Martin Prlic, Hannah W. Miller, M. Juliana McElrath, Chloe K. Slichter, Alex K. Shalek, Jingyuan Deng, Vivian H. Gersuk and Peter S. Linsley and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Andrew McDavid

33 papers receiving 2.6k citations

Hit Papers

MAST: a flexible statistical framework for assessing tran... 2015 2026 2018 2022 2015 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew McDavid United States 17 1.5k 864 373 308 197 33 2.6k
Andrea Brendolan Italy 22 1.6k 1.1× 1.5k 1.7× 315 0.8× 488 1.6× 169 0.9× 35 3.5k
Martin Stehling Germany 32 2.3k 1.5× 1.0k 1.2× 261 0.7× 484 1.6× 176 0.9× 68 4.1k
Christopher S. McGinnis United States 11 1.7k 1.2× 809 0.9× 420 1.1× 403 1.3× 125 0.6× 12 2.7k
Matthias Farlik Austria 27 2.0k 1.4× 1.6k 1.8× 356 1.0× 453 1.5× 360 1.8× 54 3.7k
Chloe K. Slichter United States 10 1.1k 0.7× 735 0.9× 307 0.8× 222 0.7× 145 0.7× 10 2.0k
Elisha Roberson United States 17 1.4k 0.9× 838 1.0× 282 0.8× 590 1.9× 226 1.1× 29 2.8k
Justin Wong Australia 30 2.4k 1.6× 664 0.8× 889 2.4× 463 1.5× 113 0.6× 72 3.5k
Sachin Patel United States 13 1.0k 0.7× 584 0.7× 649 1.7× 424 1.4× 141 0.7× 47 2.4k
Cornelia Hardt Germany 20 804 0.5× 1.1k 1.3× 151 0.4× 315 1.0× 353 1.8× 56 2.6k
Ronnie Blecher‐Gonen Israel 14 1.5k 1.0× 1.7k 1.9× 230 0.6× 315 1.0× 237 1.2× 19 3.2k

Countries citing papers authored by Andrew McDavid

Since Specialization
Citations

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

Fields of papers citing papers by Andrew McDavid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew McDavid

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew McDavid. A scholar is included among the top collaborators of Andrew McDavid 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 McDavid. Andrew McDavid 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.
Lin, Xi, Richard D. Bell, Takahiro Takano, et al.. (2023). Targeting Synovial Lymphatic Function as a Novel Therapeutic Intervention for Age‐Related Osteoarthritis in Mice. Arthritis & Rheumatology. 75(6). 923–936. 17 indexed citations
2.
Yee, Min, Andrew McDavid, Ethan D. Cohen, et al.. (2022). Neonatal Hyperoxia Activates Activating Transcription Factor 4 to Stimulate Folate Metabolism and Alveolar Epithelial Type 2 Cell Proliferation. American Journal of Respiratory Cell and Molecular Biology. 66(4). 402–414. 2 indexed citations
3.
Jonsson, A. Helena, Fan Zhang, Garrett S. Dunlap, et al.. (2022). Granzyme K + CD8 T cells form a core population in inflamed human tissue. Science Translational Medicine. 14(649). eabo0686–eabo0686. 131 indexed citations
4.
Meednu, Nida, Javier Rangel‐Moreno, Fan Zhang, et al.. (2022). Dynamic spectrum of ectopic lymphoid B cell activation and hypermutation in the RA synovium characterized by NR4A nuclear receptor expression. Cell Reports. 39(5). 110766–110766. 23 indexed citations
5.
Mattingly, Thomas, et al.. (2022). The Complex Relationship Between Cooling Parameters and Neuroprotection in a Model of Selective Hypothermia. Frontiers in Neurology. 13. 874701–874701. 1 indexed citations
6.
McDavid, Andrew, Alex Grier, Ann Gill, et al.. (2022). Aberrant newborn T cell and microbiota developmental trajectories predict respiratory compromise during infancy. iScience. 25(4). 104007–104007. 12 indexed citations
7.
Lin, Xi, et al.. (2021). The E3 ubiquitin ligase Itch limits the progression of post-traumatic osteoarthritis in mice by inhibiting macrophage polarization. Osteoarthritis and Cartilage. 29(8). 1225–1236. 18 indexed citations
8.
Prasad, Paritosh, Lynne Brown, Shiyang Ma, et al.. (2021). “If the glove fits”: Hospital-wide universal gloving is associated with improved hand hygiene and may reduce Clostridioides difficile infection. Infection Control and Hospital Epidemiology. 42(11). 1351–1355. 5 indexed citations
9.
Cohen, Ethan D., Min Yee, George A. Porter, et al.. (2021). Neonatal hyperoxia inhibits proliferation and survival of atrial cardiomyocytes by suppressing fatty acid synthesis. JCI Insight. 6(5). 26 indexed citations
10.
Barnas, Jennifer L., Jennifer S. Albrecht, Nida Meednu, et al.. (2021). B Cell Activation and Plasma Cell Differentiation Are Promoted by IFN-λ in Systemic Lupus Erythematosus. The Journal of Immunology. 207(11). 2660–2672. 20 indexed citations
11.
Meednu, Nida, Javier Rangel‐Moreno, Fan Zhang, et al.. (2021). Dynamic Spectrum of Ectopic Lymphoid B Cell Activation in the RA Synovium Characterized by NR4A Nuclear Receptor Expression. SSRN Electronic Journal. 1 indexed citations
12.
Newlands, Shawn D., et al.. (2019). Intrinsic mitotic activity supports the human salivary gland acinar cell population. FEBS Letters. 594(2). 376–382. 5 indexed citations
13.
Gao, Lin, et al.. (2019). Cell Senescence in Lupus. Current Rheumatology Reports. 21(1). 1–1. 18 indexed citations
14.
Caserta, Mary T., Hongmei Yang, Sanjukta Bandyopadhyay, et al.. (2019). Measuring the Severity of Respiratory Illness in the First 2 Years of Life in Preterm and Term Infants. The Journal of Pediatrics. 214. 12–19.e3. 3 indexed citations
15.
Lu, Daniel, Andrew McDavid, Sarah Kongpachith, et al.. (2018). T Cell–Dependent Affinity Maturation and Innate Immune Pathways Differentially Drive Autoreactive B Cell Responses in Rheumatoid Arthritis. Arthritis & Rheumatology. 70(11). 1732–1744. 72 indexed citations
16.
Yee, Min, Ethan D. Cohen, William Domm, et al.. (2018). Neonatal hyperoxia depletes pulmonary vein cardiomyocytes in adult mice via mitochondrial oxidation. American Journal of Physiology-Lung Cellular and Molecular Physiology. 314(5). L846–L859. 22 indexed citations
17.
Grier, Alex, Andrew McDavid, Bokai Wang, et al.. (2018). Neonatal gut and respiratory microbiota: coordinated development through time and space. Microbiome. 6(1). 193–193. 69 indexed citations
18.
Slichter, Chloe K., Andrew McDavid, Hannah W. Miller, et al.. (2016). Distinct activation thresholds of human conventional and innate-like memory T cells. JCI Insight. 1(8). 108 indexed citations
19.
Finak, Greg, Andrew McDavid, Masanao Yajima, et al.. (2015). MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data. Genome biology. 16(1). 278–278. 1570 indexed citations breakdown →
20.
McDavid, Andrew, Lucas Dennis, Patrick Danaher, et al.. (2014). Modeling Bi-modality Improves Characterization of Cell Cycle on Gene Expression in Single Cells. PLoS Computational Biology. 10(7). e1003696–e1003696. 41 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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