Chris McKennan

754 total citations
18 papers, 294 citations indexed

About

Chris McKennan is a scholar working on Molecular Biology, Physiology and Statistics and Probability. According to data from OpenAlex, Chris McKennan has authored 18 papers receiving a total of 294 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Physiology and 3 papers in Statistics and Probability. Recurrent topics in Chris McKennan's work include Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (5 papers) and Epigenetics and DNA Methylation (3 papers). Chris McKennan is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Gene expression and cancer classification (5 papers) and Epigenetics and DNA Methylation (3 papers). Chris McKennan collaborates with scholars based in United States, Denmark and Germany. Chris McKennan's co-authors include Dan L. Nicolae, Steven H. Seeholzer, Jiebiao Wang, Hua Ding, Jingtian Zhou, Carole Ober, Debra A. Bangasser, John G. Csernansky, Hongxin Dong and John D. Carroll and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Chris McKennan

16 papers receiving 291 citations

Peers

Chris McKennan

PHYSI

CMN

GENET

Daniel Fil United States

Marta Szyszka Poland

Marianna Tyczewska Poland

Ourania Kosti United States

Luhong Wang China

Angelique Regnier‐Golanov United States

Gonzalo Ureta Chile

Fukuko Kishi Japan

Victoria Lutgen United States

Nikoletta Dobos Hungary

Daniel Fil United States

Chris McKennan

125 ×0.9

93 ×1.5

PHYSI

23 ×0.7

65 ×2.1

CMN

22 ×0.7

GENET

Citations per year, relative to Chris McKennan Chris McKennan (= 1×) peers Daniel Fil

Countries citing papers authored by Chris McKennan

Since Specialization

Citations

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

Fields of papers citing papers by Chris McKennan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris McKennan

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

All Works

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18 of 18 papers shown

McKennan, Chris, et al.. (2025). BLEND: probabilistic cellular deconvolution with individualized single-cell reference integration. Genome biology. 26(1). 328–328.

Zhao, Kehao, et al.. (2025). EMixed: Probabilistic Multi-Omics Cellular Deconvolution of Bulk Omics Data. Journal of Data Science. 592–606.

Saeed, Anum, Chris McKennan, Kevin E. Kip, et al.. (2025). Mid-life anti-inflammatory metabolites are inversely associated with long-term cardiovascular disease events. EBioMedicine. 112. 105551–105551. 1 indexed citations

Berdnikovs, Sergejs, Dawn C. Newcomb, Kaitlin McKernan, et al.. (2025). Single-cell profiling demonstrates the combined effect of wheeze phenotype and infant viral infection on airway epithelial development. Science Advances. 11(21). eadr9995–eadr9995. 1 indexed citations

Zhou, Jingtian, et al.. (2024). scMD facilitates cell type deconvolution using single-cell DNA methylation references. Communications Biology. 7(1). 1–1. 27 indexed citations

Huang, Penghui, et al.. (2024). Accurate estimation of rare cell-type fractions from tissue omics data via hierarchical deconvolution. The Annals of Applied Statistics. 18(2). 1178–1194. 4 indexed citations

Turi, Kedir N., Yajing Li, Yaomin Xu, et al.. (2024). The association of infant urinary adrenal steroids with the risk of childhood asthma development. Annals of Allergy Asthma & Immunology. 133(2). 159–167.e3. 1 indexed citations

Koch, Stefan, et al.. (2023). Apolipoprotein-E deficiency leads to brain network alteration characterized by diffusion MRI and graph theory. Frontiers in Neuroscience. 17. 1183312–1183312. 2 indexed citations

Liu, Jinling, Erick Forno, Xinghua Lu, et al.. (2022). Robust and accurate estimation of cellular fraction from tissue omics data via ensemble deconvolution. Bioinformatics. 38(11). 3004–3010. 14 indexed citations

10.

Vais, Horia, Min Wang, Karthik Mallilankaraman, et al.. (2020). ER-luminal [Ca2+] regulation of InsP3 receptor gating mediated by an ER-luminal peripheral Ca2+-binding protein. eLife. 9. 26 indexed citations

11.

McKennan, Chris, Carole Ober, & Dan L. Nicolae. (2020). Estimation and inference in metabolomics with nonrandom missing data and latent factors. The Annals of Applied Statistics. 14(2). 789–808. 8 indexed citations

12.

McKennan, Chris, Katherine A. Naughton, Meyer Kattan, et al.. (2020). Longitudinal data reveal strong genetic and weak non-genetic components of ethnicity-dependent blood DNA methylation levels. Epigenetics. 16(6). 662–676. 17 indexed citations

13.

McKennan, Chris & Dan L. Nicolae. (2020). Estimating and Accounting for Unobserved Covariates in High-Dimensional Correlated Data. Journal of the American Statistical Association. 117(537). 225–236. 11 indexed citations

14.

Morin, Andréanne, Chris McKennan, Jakob Stokholm, et al.. (2020). Epigenetic landscape links upper airway microbiota in infancy with allergic rhinitis at 6 years of age. Journal of Allergy and Clinical Immunology. 146(6). 1358–1366. 42 indexed citations

15.

McKennan, Chris & Dan L. Nicolae. (2019). Accounting for unobserved covariates with varying degrees of estimability in high-dimensional biological data. Biometrika. 106(4). 823–840. 15 indexed citations

16.

Fazelinia, Hossein, Neal S. Gould, Anastasia K. Yocum, et al.. (2018). Induction of the Immunoproteasome Subunit Lmp7 Links Proteostasis and Immunity in α-Synuclein Aggregation Disorders. EBioMedicine. 31. 307–319. 34 indexed citations

17.

Bangasser, Debra A., Hongxin Dong, John D. Carroll, et al.. (2016). Corticotropin-releasing factor overexpression gives rise to sex differences in Alzheimer’s disease-related signaling. Molecular Psychiatry. 22(8). 1126–1133. 55 indexed citations

18.

Min, Sang Hee, Timothy J. Stalker, Liang Zhao, et al.. (2014). Loss of PIKfyve in platelets causes a lysosomal disease leading to inflammation and thrombosis in mice. Nature Communications. 5(1). 4691–4691. 36 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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