Débora Barton

797 citations
26 papers · 307 · h-index 7

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research
    • Cancer Genomics and Diagnostics

Papers in

    • CAR-T cell therapy research 18
    • Cancer Treatment and Pharmacology 4
    • Immune cells in cancer 7
    • Phagocytosis and Immune Regulation 4
    • Biosimilars and Bioanalytical Methods 2

Débora Barton

26 papers receiving 302 citations

Peers

Débora Barton
Comparison fields: 5 of 51
  • Oncology 198
  • Cancer Research 55
  • Immunology 63
  • Pulmonary and Respiratory Medicine 68
  • Genetics 24
Replace Karie Runcie with:
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Citations per field
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Citations per year

Countries citing papers authored by Débora Barton

Since Specialization
Citations

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

Fields of papers citing papers by Débora Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Débora Barton, 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 Débora Barton Line = papers co-authored together Débora Barton links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201894
2 201645
3 202239
4 201528
5 201924
6 202313
7 202110
8 20226
9 20225
10 20234
11 20224
12 20244
13 20214
14 20144
15 20223
16 20193
17 20213
18 19913
19 20083
20 20232

About Débora Barton

Débora Barton is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 307 indexed citations. Recurring topics across this work include CAR-T cell therapy research (18 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Immune cells in cancer (7 papers), Cancer Treatment and Pharmacology (4 papers), Phagocytosis and Immune Regulation (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Biosimilars and Bioanalytical Methods (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Oncology (198 citations), Cancer Research (55 citations), Immunology (63 citations), Pulmonary and Respiratory Medicine (68 citations) and Genetics (24 citations). Débora Barton has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Denise A. Yardley, Adam Brufsky, PierFranco Conte, Stefan Glück, Javier Cortés, Nadia Harbeck, Joyce O’Shaughnessy, Daniel Cushing, Elizabeth Claire Dees and Michael Klichinsky. Their work appears in journals such as Journal of Clinical Oncology, Blood, Cancer Research, Cytotherapy and Trials.

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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