Bryan Ciccarelli

1.7k citations
34 papers · 1.1k · h-index 13

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

    • Chronic Lymphocytic Leukemia Research 21
    • Glycosylation and Glycoproteins Research 5
    • Ubiquitin and proteasome pathways 3
    • Histone Deacetylase Inhibitors Research 3

Bryan Ciccarelli

34 papers receiving 1.1k citations

Peers

Bryan Ciccarelli
Comparison fields: 5 of 63
  • Genetics 302
  • Hematology 285
  • Pathology and Forensic Medicine 235
  • Immunology 264
  • Oncology 226
Replace Lugui Qiu with:
Lugui Qiu China
Daniela Gottardi Italy
Justin C. Boysen United States
Amit Khot Australia
Linda Wellik United States
Clémentine Sarkozy France
Mònica López‐Guerra Spain
Bonnie K. Arendt United States
Georgios Z. Rassidakis United States
Lara Tickenbrock Germany
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Citations per field
00.5×1.6×
Lugui Qiu · 1×
Citations per year

Countries citing papers authored by Bryan Ciccarelli

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Ciccarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007216
2 2010163
3 2014160
4 2008117
5 200992
6 200861
7 200856
8 200930
9 201123
10 201122
11 200819
12 200817
13 202015
14 201312
15 200911
16 201410
17 20119
18 20097
19 20116
20 20104

About Bryan Ciccarelli

Bryan Ciccarelli is a scholar working on Genetics, Molecular Biology, Immunology, Pathology and Forensic Medicine and Hematology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (21 papers), Lymphoma Diagnosis and Treatment (7 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Glycosylation and Glycoproteins Research (5 papers), Ubiquitin and proteasome pathways (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Iron Metabolism and Disorders (3 papers). The work is most often cited by research in Genetics (302 citations), Hematology (285 citations), Pathology and Forensic Medicine (235 citations), Immunology (264 citations) and Oncology (226 citations). Bryan Ciccarelli has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Kenneth C. Anderson, Steven P. Treon, Zachary R. Hunter, Ajita Singh, Dharminder Chauhan, Evdoxia Hatjiharissi, Paul G. Richardson, Robert Manning, Xavier Leleu and Lian Xu. Their work appears in journals such as Blood, Journal of Clinical Oncology, Clinical Cancer Research, Pharmacological Research and Haematologica.

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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