David DeTomaso

1.5k total citations
9 papers, 411 citations indexed

About

David DeTomaso is a scholar working on Molecular Biology, Immunology and Biophysics. According to data from OpenAlex, David DeTomaso has authored 9 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Biophysics. Recurrent topics in David DeTomaso's work include Single-cell and spatial transcriptomics (5 papers), Bioinformatics and Genomic Networks (2 papers) and Immune Cell Function and Interaction (2 papers). David DeTomaso is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Bioinformatics and Genomic Networks (2 papers) and Immune Cell Function and Interaction (2 papers). David DeTomaso collaborates with scholars based in United States, Israel and Austria. David DeTomaso's co-authors include Nir Yosef, Meena Subramaniam, Chun Ye, Tal Ashuach, Matthew G. Jones, Davide Risso, Elizabeth Purdom, John Ngai, Allon Wagner and Sandrine Dudoit and has published in prestigious journals such as Nature Communications, Immunity and The Journal of Immunology.

In The Last Decade

David DeTomaso

8 papers receiving 407 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David DeTomaso United States	7	310	126	75	52	41	9	411
Takahiro Asatsuma Australia	1	310 1.0×	88 0.7×	79 1.1×	54 1.0×	40 1.0×	2	418
Lambda Moses United States	2	479 1.5×	111 0.9×	89 1.2×	40 0.8×	81 2.0×	2	554
Paula Nieto Spain	5	390 1.3×	115 0.9×	73 1.0×	41 0.8×	77 1.9×	9	466
Seayar Mohabbat United States	4	252 0.8×	71 0.6×	60 0.8×	40 0.8×	48 1.2×	4	335
Daniel Strobl Germany	5	504 1.6×	133 1.1×	103 1.4×	46 0.9×	155 3.8×	5	602
Bernhard Reuter Germany	4	255 0.8×	60 0.5×	48 0.6×	40 0.8×	42 1.0×	7	335
Mingyu Yang China	5	519 1.7×	119 0.9×	121 1.6×	63 1.2×	86 2.1×	9	626
Jordan Sicherman Canada	4	258 0.8×	81 0.6×	57 0.8×	68 1.3×	48 1.2×	4	343
Maria Vladoiu Canada	10	225 0.7×	161 1.3×	38 0.5×	50 1.0×	49 1.2×	13	340

Countries citing papers authored by David DeTomaso

Since Specialization

Citations

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

Fields of papers citing papers by David DeTomaso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David DeTomaso

This figure shows the co-authorship network connecting the top 25 collaborators of David DeTomaso. A scholar is included among the top collaborators of David DeTomaso 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 David DeTomaso. David DeTomaso 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.

Wang, Chao, Allon Wagner, Johannes Fessler, et al.. (2025). The glycolytic reaction PGAM restrains Th17 pathogenicity and Th17-dependent autoimmunity. Cell Reports. 44(6). 115799–115799.

2.

Pawlak, Mathias, David DeTomaso, Alexandra Schnell, et al.. (2022). Induction of a colitogenic phenotype in Th1-like cells depends on interleukin-23 receptor signaling. Immunity. 55(9). 1663–1679.e6. 27 indexed citations

3.

DeTomaso, David & Nir Yosef. (2021). Hotspot identifies informative gene modules across modalities of single-cell genomics. Cell Systems. 12(5). 446–456.e9. 82 indexed citations

4.

Wagner, Allon, Chao Wang, David DeTomaso, et al.. (2020). In Silico Modeling of Metabolic State in Single Th17 Cells Reveals Novel Regulators of Inflammation and Autoimmunity. The Journal of Immunology. 204(1_Supplement). 150.22–150.22. 4 indexed citations

5.

DeTomaso, David, Matthew G. Jones, Meena Subramaniam, et al.. (2019). Functional interpretation of single cell similarity maps. Nature Communications. 10(1). 4376–4376. 128 indexed citations

6.

Cole, Michael B., Davide Risso, Allon Wagner, et al.. (2019). Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq. Cell Systems. 8(4). 315–328.e8. 97 indexed citations

7.

DeTomaso, David & Nir Yosef. (2016). FastProject: a tool for low-dimensional analysis of single-cell RNA-Seq data. BMC Bioinformatics. 17(1). 315–315. 38 indexed citations

8.

Kohnz, Rebecca A., Lindsay S. Roberts, David DeTomaso, et al.. (2016). Protein Sialylation Regulates a Gene Expression Signature that Promotes Breast Cancer Cell Pathogenicity. ACS Chemical Biology. 11(8). 2131–2139. 28 indexed citations

9.

Johnson, Benjamin C., David DeTomaso, & Alyosha Molnar. (2010). A low-power orthogonal current-reuse amplifier for parallel sensing applications. 318–321. 7 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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