Anna Cabrelle

4.6k citations
63 papers · 4k · h-index 34

Impact in

  • Immunology top 1%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 7
    • Immune Cell Function and Interaction 4

Anna Cabrelle

63 papers receiving 3.9k citations

Peers

Anna Cabrelle
Comparison fields: 5 of 94
  • Immunology 1.2k
  • Genetics 394
  • Hematology 346
  • Oncology 488
  • Pathology and Forensic Medicine 338
Replace Keiichi Enjyoji with:
Keiichi Enjyoji United States
Bruno Giuseppe Azzarone France
Hiroaki Niiro Japan
Frank Grünebach Germany
Rossella Paolini Italy
Marco Cippitelli Italy
Lily D. Lu United States
Alan Fine United States
Emily Ferguson Mason United States
To‐Ha Thai United States
Anna Cabrelle relative to Keiichi Enjyoji United States Keiichi Enjyoji's profile →
Citations per field
00.5×2×3.0×
Keiichi Enjyoji · 1×
Citations per year

Countries citing papers authored by Anna Cabrelle

Since Specialization
Citations

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

Fields of papers citing papers by Anna Cabrelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000455
2 1999354
3 2010232
4 2005221
5 2006221
6 2012196
7 2000142
8 2004126
9 2006119
10 2011101
11 200395
12 200592
13 200788
14 201388
15 201386
16 200584
17 200575
18 201073
19 201271
20 201466

About Anna Cabrelle

Anna Cabrelle is a scholar working on Genetics, Immunology, Oncology, Hematology and Molecular Biology, having authored 63 papers that have together received 4k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Multiple Myeloma Research and Treatments (6 papers), Cell death mechanisms and regulation (6 papers), Immune Cell Function and Interaction (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Sarcoidosis and Beryllium Toxicity Research (4 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Immunology (1.2k citations), Genetics (394 citations), Hematology (346 citations), Oncology (488 citations) and Pathology and Forensic Medicine (338 citations). Anna Cabrelle has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Vincenzo Bronte, Gianpietro Semenzato, Elisa Apolloni, Carlo Agostini, Nicholas P. Restifo, Renato Zambello, Livio Trentin, Paola Zanovello, Monica Facco and Paolo Serafini. Their work appears in journals such as Blood, The Journal of Immunology, British Journal of Haematology, PLoS ONE and Leukemia.

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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