Nicholas Chiorazzi

26.9k total citations · 6 hit papers
343 papers, 19.1k citations indexed

About

Nicholas Chiorazzi is a scholar working on Genetics, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nicholas Chiorazzi has authored 343 papers receiving a total of 19.1k indexed citations (citations by other indexed papers that have themselves been cited), including 230 papers in Genetics, 218 papers in Immunology and 108 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nicholas Chiorazzi's work include Chronic Lymphocytic Leukemia Research (229 papers), Immunodeficiency and Autoimmune Disorders (117 papers) and Monoclonal and Polyclonal Antibodies Research (108 papers). Nicholas Chiorazzi is often cited by papers focused on Chronic Lymphocytic Leukemia Research (229 papers), Immunodeficiency and Autoimmune Disorders (117 papers) and Monoclonal and Polyclonal Antibodies Research (108 papers). Nicholas Chiorazzi collaborates with scholars based in United States, Italy and United Kingdom. Nicholas Chiorazzi's co-authors include Manlio Ferrarini, R. Kanti, Steven L. Allen, Rajendra N. Damle, Jonathan E. Kolitz, Henry G. Kunkel, Franco Fais, Fabio Ghiotto, Philip Schulman and Angelo Valetto and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Nicholas Chiorazzi

328 papers receiving 18.5k citations

Hit Papers

Ig V Gene Mutation Status and CD38 Expression As Novel Pr... 1998 2026 2007 2016 1999 2005 2018 2001 1998 500 1000 1.5k

Peers

Nicholas Chiorazzi
Nicholas Chiorazzi
Citations per year, relative to Nicholas Chiorazzi Nicholas Chiorazzi (= 1×) peers Manlio Ferrarini

Countries citing papers authored by Nicholas Chiorazzi

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Chiorazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Chiorazzi

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Chiorazzi. A scholar is included among the top collaborators of Nicholas Chiorazzi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas Chiorazzi. Nicholas Chiorazzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Ekaterina, Shih-Shih Chen, Mariela Sivina, et al.. (2024). Deuterated water labeling in ibrutinib-treated patients with CLL: leukemia cell kinetics correlate with IGHV, ZAP-70, and MRD. Blood. 144(25). 2678–2681.
2.
Chen, Shih‐Shih, Jacqueline C. Barrientos, Gerardo Ferrer, et al.. (2023). Duvelisib Eliminates CLL B Cells, Impairs CLL-Supporting Cells, and Overcomes Ibrutinib Resistance in a Xenograft Model. Clinical Cancer Research. 29(10). 1984–1995. 5 indexed citations
3.
Ferrer, Gerardo, Rukhsana Aslam, Florencia Palacios, et al.. (2021). Myeloid-derived suppressor cell subtypes differentially influence T-cell function, T-helper subset differentiation, and clinical course in CLL. Leukemia. 35(11). 3163–3175. 37 indexed citations
4.
Morande, Pablo Elías, Xiao‐Jie Yan, Cecilia Abreu, et al.. (2021). AID overexpression leads to aggressive murine CLL and nonimmunoglobulin mutations that mirror human neoplasms. Blood. 138(3). 246–258. 8 indexed citations
5.
Palacios, Florencia, Xiao‐Jie Yan, Gerardo Ferrer, et al.. (2021). Musashi 2 influences chronic lymphocytic leukemia cell survival and growth making it a potential therapeutic target. Leukemia. 35(4). 1037–1052. 18 indexed citations
6.
Wang, Ninghai, Elisa ten Hacken, Shih‐Shih Chen, et al.. (2019). SLAMF6 as a Regulator of Exhausted CD8+ T Cells in Cancer. Cancer Immunology Research. 7(9). 1485–1496. 42 indexed citations
7.
Niemann, Carsten Utoft, Helena Mora-Jensen, Eman L. Dadashian, et al.. (2017). Combined BTK and PI3Kδ Inhibition with Acalabrutinib and ACP-319 Improves Survival and Tumor Control in CLL Mouse Model. Clinical Cancer Research. 23(19). 5814–5823. 25 indexed citations
9.
Minici, Claudia, Dina Schneider, Alpaslan Tasdogan, et al.. (2016). Distinct Homotypic B-Cell Receptor Interactions Shape The Outcome Of Chronic Lymphocytic Leukemia. Haematologica. 101. 9–9. 2 indexed citations
10.
Herrin, Brantley R., Matthew N. Alder, Rosa Catera, et al.. (2013). Chronic Lymphocytic Leukemia Monitoring with a Lamprey Idiotope-Specific Antibody. Cancer Immunology Research. 1(4). 223–228. 12 indexed citations
11.
Bagnara, Davide, Matthew Kaufman, Carlo Calissano, et al.. (2011). A novel adoptive transfer model of chronic lymphocytic leukemia suggests a key role for T lymphocytes in the disease. Blood. 117(20). 5463–5472. 145 indexed citations
12.
Calissano, Carlo, Rajendra N. Damle, Sonia Marsilio, et al.. (2011). Intraclonal Complexity in Chronic Lymphocytic Leukemia: Fractions Enriched in Recently Born/Divided and Older/Quiescent Cells. Molecular Medicine. 17(11-12). 1374–1382. 129 indexed citations
13.
Jain, Preetesh, Percy Chiu, Rajendra N. Damle, et al.. (2011). Th17 and non-Th17 interleukin-17-expressing cells in chronic lymphocytic leukemia: delineation, distribution, and clinical relevance. Haematologica. 97(4). 599–607. 63 indexed citations
14.
Ghia, Paolo, Nicholas Chiorazzi, & Κώστας Σταματόπουλος. (2008). Microenvironmental influences in chronic lymphocytic leukaemia: the role of antigen stimulation. Journal of Internal Medicine. 264(6). 549–562. 128 indexed citations
15.
Messmer, Bradley T., Davorka Messmer, Steven L. Allen, et al.. (2005). In vivo measurements document the dynamic cellular kinetics of chronic lymphocytic leukemia B cells. Journal of Clinical Investigation. 115(3). 755–764. 21 indexed citations
16.
Hervé, Maxime, Kai Xu, Yen-Shing Ng, et al.. (2005). Unmutated and mutated chronic lymphocytic leukemias derive from self-reactive B cell precursors despite expressing different antibody reactivity. Journal of Clinical Investigation. 115(6). 1636–1643. 253 indexed citations
17.
Foell, Juergen, Shawn P. O’Neil, Megan McCausland, et al.. (2003). CD137 costimulatory T cell receptor engagement reverses acute disease in lupus-prone NZB × NZW F1 mice. Journal of Clinical Investigation. 111(10). 1505–1518. 133 indexed citations
18.
Foell, Juergen, Shawn P. O’Neil, Megan McCausland, et al.. (2003). CD137 costimulatory T cell receptor engagement reverses acute disease in lupus-prone NZB × NZW F1 mice. Journal of Clinical Investigation. 111(10). 1505–1518. 145 indexed citations
19.
Dono, Mariella, Simona Zupo, Rosanna Massara, et al.. (2001). In vitro stimulation of human tonsillar subepithelial B cells: requirement for interaction with activated T cells. European Journal of Immunology. 31(3). 752–756. 8 indexed citations
20.
Chiorazzi, Nicholas, et al.. (1989). Conversion of systemic lupus erythematosus to common variable hypogammaglobulinemia☆. The American Journal of Medicine. 87. 449–456. 1 indexed citations

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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