David DeTomaso

1.5k citations
9 papers · 433 · 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
    • Glycosylation and Glycoproteins Research 1
    • Immune Cell Function and Interaction 2
    • Immunotherapy and Immune Responses 1
    • Immunodeficiency and Autoimmune Disorders 1

David DeTomaso

9 papers receiving 429 citations

Peers

David DeTomaso
Comparison fields: 5 of 60
  • Biophysics 41
  • Immunology 112
  • Molecular Biology 305
  • Cancer Research 54
  • Oncology 46
Replace Bernhard Reuter with:
Bernhard Reuter Germany
Takahiro Asatsuma Australia
Pratyaydipta Rudra United States
Mingyu Yang China
Robert Shelansky United States
Jordan Sicherman Canada
Seayar Mohabbat United States
Morgane Rouault United States
Hiroaki Ayabe Japan
Jawad Abousoud
David DeTomaso relative to Bernhard Reuter Germany Bernhard Reuter's profile →
Citations per field
00.5×10×17.3×
Bernhard Reuter · 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 2019131
2 201997
3 202194
4 201638
5 201631
6 202230
7 20107
8 20204
9 20251

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 433 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Immune Cell Function and Interaction (2 papers), Cell Image Analysis Techniques (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Glycosylation and Glycoproteins Research (1 paper), Immunotherapy and Immune Responses (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Biophysics (41 citations), Immunology (112 citations), Molecular Biology (305 citations), Cancer Research (54 citations) and Oncology (46 citations). David DeTomaso has collaborated with scholars based in United States, Israel and Italy. Frequent co-authors include Nir Yosef, Chun Ye, Meena Subramaniam, Matthew G. Jones, Tal Ashuach, Davide Risso, John Ngai, Elizabeth Purdom, Michael B. Cole and Allon Wagner. Their work appears in journals such as Cell Systems, Nature Communications, Cell Reports, The Journal of Immunology and ACS Chemical Biology.

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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