Anna Carbone

845 citations
12 papers · 675 · h-index 9

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research
    • Cytokine Signaling Pathways and Interactions
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • T-cell and B-cell Immunology

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • PARP inhibition in cancer therapy 2
    • TGF-β signaling in diseases 2

Anna Carbone

12 papers receiving 666 citations

Peers

Anna Carbone
Comparison fields: 5 of 69
  • Oncology 341
  • Immunology 256
  • Endocrinology, Diabetes and Metabolism 98
  • Cancer Research 38
  • Immunology and Allergy 12
Replace Kazutaka Narimoto with:
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Li-Xia Peng China
Diana C. Brinson United States
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Citations per field
00.5×3.1×
Kazutaka Narimoto · 1×
Citations per year

Countries citing papers authored by Anna Carbone

Since Specialization
Citations

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

Fields of papers citing papers by Anna Carbone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1999197
2 2005176
3 2006106
4 201258
5 199549
6 201323
7 200822
8 201316
9 200711
10 20068
11 20008
12 20001

About Anna Carbone

Anna Carbone is a scholar working on Oncology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery and Hematology, having authored 12 papers that have together received 675 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (3 papers), Immunotherapy and Immune Responses (2 papers), Erythropoietin and Anemia Treatment (2 papers), TGF-β signaling in diseases (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), PARP inhibition in cancer therapy (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Oncology (341 citations), Immunology (256 citations), Endocrinology, Diabetes and Metabolism (98 citations), Cancer Research (38 citations) and Immunology and Allergy (12 citations). Anna Carbone has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Graziella Bellone, G Emanuelli, A Robecchi, Ulrich Rodeck, Carlo Smirne, Katia Mareschi, Elisa Artusio, D. Tibaudi, Anna Turletti and Mario Pirisi. Their work appears in journals such as Diabetes Research and Clinical Practice, Diabetes Technology & Therapeutics, American Journal Of Pathology, Canadian Journal of Physiology and Pharmacology and Cancer Biology & Therapy.

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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