David DeTomaso

1.5k citations
9 papers · 411 · h-index 7

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Single-cell and spatial transcriptomics 5
    • Bioinformatics and Genomic Networks 2
    • Immune Cell Function and Interaction 2
    • IL-33, ST2, and ILC Pathways 1

David DeTomaso

8 papers receiving 407 citations

Peers

David DeTomaso
Comparison fields: 5 of 60
  • Biophysics 41
  • Immunology 126
  • Cancer Research 75
  • Molecular Biology 310
  • Aging 4
Replace Takahiro Asatsuma with:
Takahiro Asatsuma Australia
Bernhard Reuter Germany
Mingyu Yang China
Lambda Moses United States
Jordan Sicherman Canada
Hiroaki Ayabe Japan
Daniel Strobl Germany
Anna C. Schaar Germany
Seayar Mohabbat United States
David DeTomaso relative to Takahiro Asatsuma Australia Takahiro Asatsuma's profile →
Citations per field
00.5×8.1×
Takahiro Asatsuma · 1×
Citations per year

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-authors

The 25 scholars most cited alongside David DeTomaso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David DeTomaso Line = papers co-authored together David DeTomaso links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2019128
2 201997
3 202182
4 201638
5 201628
6 202227
7 20107
8 20204
9 20250

About David DeTomaso

David DeTomaso is a scholar working on Molecular Biology, Immunology, Biophysics, Cancer Research and Artificial Intelligence, having authored 9 papers that have together received 411 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (2 papers), Bioinformatics and Genomic Networks (2 papers), Immune Cell Function and Interaction (2 papers), Analog and Mixed-Signal Circuit Design (1 paper), Radio Frequency Integrated Circuit Design (1 paper), IL-33, ST2, and ILC Pathways (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Biophysics (41 citations), Immunology (126 citations), Cancer Research (75 citations), Molecular Biology (310 citations) and Aging (4 citations). David DeTomaso has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Nir Yosef, Tal Ashuach, Matthew G. Jones, Meena Subramaniam, Chun Ye, Davide Risso, John Ngai, Sandrine Dudoit, Michael B. Cole and Allon Wagner. Their work appears in journals such as Cell Systems, The Journal of Immunology, Nature Communications, Immunity and Cell Reports.

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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