Zachary Thomson

1.4k total citations
9 papers, 565 citations indexed

About

Zachary Thomson is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Zachary Thomson has authored 9 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Physiology. Recurrent topics in Zachary Thomson's work include Single-cell and spatial transcriptomics (3 papers), Epigenetics and DNA Methylation (3 papers) and T-cell and B-cell Immunology (3 papers). Zachary Thomson is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Epigenetics and DNA Methylation (3 papers) and T-cell and B-cell Immunology (3 papers). Zachary Thomson collaborates with scholars based in United States, France and Lebanon. Zachary Thomson's co-authors include Lesley Leong, C. Dirk Keene, Mak A. Saito, Nathan A. Ahlgren, Eric A. Webb, Jill A. Sohm, James W. Moffett, Gabrielle Rocap, Sunny Chen and Chang‐En Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Brain Research.

In The Last Decade

Zachary Thomson

7 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zachary Thomson United States	7	357	138	76	72	61	9	565
Juhyung Lee United States	12	188 0.5×	54 0.4×	35 0.5×	114 1.6×	84 1.4×	23	529
John O. Onukwufor Canada	12	148 0.4×	148 1.1×	26 0.3×	46 0.6×	11 0.2×	21	422
Étienne Hébert Chatelain Canada	6	235 0.7×	56 0.4×	11 0.1×	52 0.7×	22 0.4×	8	369
Xiaojie Li China	12	205 0.6×	34 0.2×	86 1.1×	84 1.2×	174 2.9×	34	635
А. И. Кривченко Russia	11	111 0.3×	43 0.3×	10 0.1×	106 1.5×	11 0.2×	75	390
Birgitta Kimura United States	18	455 1.3×	63 0.5×	12 0.2×	87 1.2×	6 0.1×	35	1.2k
Joy Guingab‐Cagmat United States	12	251 0.7×	29 0.2×	10 0.1×	34 0.5×	116 1.9×	24	421
Chun Wu China	15	268 0.8×	53 0.4×	13 0.2×	43 0.6×	5 0.1×	34	655
Glenn Lurman Switzerland	11	127 0.4×	143 1.0×	61 0.8×	168 2.3×	7 0.1×	21	452
Laura Page United States	13	131 0.4×	90 0.7×	9 0.1×	147 2.0×	25 0.4×	26	623

Countries citing papers authored by Zachary Thomson

Since Specialization

Citations

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

Fields of papers citing papers by Zachary Thomson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zachary Thomson

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

All Works

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9 of 9 papers shown

1.

Heubeck, Alexander T., N Kaul, Morgan Weiss, et al.. (2025). CryoSCAPE: Scalable immune profiling using cryopreserved whole blood for multi-omic single cell and functional assays. Journal of Translational Medicine. 23(1). 5–5.

2.

Erickson, Anders W., Liam D. Hendrikse, Zachary Thomson, et al.. (2025). Mapping the developmental profile of ventricular zone–derived neurons in the human cerebellum. Proceedings of the National Academy of Sciences. 122(17). e2415425122–e2415425122.

3.

Talla, Aarthi, Suhas Vasaikar, Gregory L. Szeto, et al.. (2023). Persistent serum protein signatures define an inflammatory subcategory of long COVID. Nature Communications. 14(1). 3417–3417. 70 indexed citations

4.

Genge, Palak C., Alexander T. Heubeck, Elliott Swanson, et al.. (2021). Optimized workflow for human PBMC multiomic immunosurveillance studies. STAR Protocols. 2(4). 100900–100900. 6 indexed citations

5.

Swanson, Elliott, Cara Lord, Julian Reading, et al.. (2021). Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq. eLife. 10. 154 indexed citations

6.

Leong, Lesley, Zachary Thomson, Sunny Chen, et al.. (2018). Glia-specific APOE epigenetic changes in the Alzheimer’s disease brain. Brain Research. 1698. 179–186. 40 indexed citations

7.

Sohm, Jill A., Nathan A. Ahlgren, Zachary Thomson, et al.. (2015). Co-occurringSynechococcusecotypes occupy four major oceanic regimes defined by temperature, macronutrients and iron. The ISME Journal. 10(2). 333–345. 154 indexed citations

8.

Foraker, Jessica, Steven P. Millard, Lesley Leong, et al.. (2015). The APOE Gene is Differentially Methylated in Alzheimer’s Disease. Journal of Alzheimer s Disease. 48(3). 745–755. 88 indexed citations

9.

Yu, Chang-En, Eiron Cudaback, Jessica Foraker, et al.. (2013). Epigenetic signature and enhancer activity of the human APOE gene. Human Molecular Genetics. 22(24). 5036–5047. 53 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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