Enrico Lista

710 total citations
8 papers, 68 citations indexed

About

Enrico Lista is a scholar working on Genetics, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Enrico Lista has authored 8 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Immunology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Enrico Lista's work include Chronic Lymphocytic Leukemia Research (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Lymphoma Diagnosis and Treatment (3 papers). Enrico Lista is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Lymphoma Diagnosis and Treatment (3 papers). Enrico Lista collaborates with scholars based in Italy, France and United States. Enrico Lista's co-authors include Gian Matteo Rigolin, Francesco Cavazzini, Antonio Cuneo, Francesca Maria Quaglia, Massimo Negrini, Laura Lupini, Elisa Tammiso, Elena Saccenti, Luca Formigaro and Cristian Bassi and has published in prestigious journals such as Journal of Hematology & Oncology, Oncotarget and Journal of Autoimmunity.

In The Last Decade

Enrico Lista

8 papers receiving 68 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Enrico Lista Italy 5 49 46 32 10 10 8 68
S. Stilgenbauer Germany 5 56 1.1× 50 1.1× 27 0.8× 8 0.8× 8 0.8× 19 71
Hagop M. Kantarjian United States 3 49 1.0× 22 0.5× 22 0.7× 12 1.2× 3 0.3× 5 58
Marina Deodato Italy 6 75 1.5× 53 1.2× 22 0.7× 39 3.9× 10 1.0× 13 99
Rebeca Rodríguez Pena Spain 4 24 0.5× 7 0.2× 50 1.6× 14 1.4× 6 0.6× 12 80
Sabrina Kless Germany 3 76 1.6× 61 1.3× 34 1.1× 12 1.2× 20 2.0× 4 77
Alfonso Martín Carnicero Spain 4 41 0.8× 37 0.8× 21 0.7× 9 0.9× 8 0.8× 10 69
Gavin Preston United Kingdom 5 28 0.6× 36 0.8× 5 0.2× 11 1.1× 8 0.8× 10 72
Leire Escudero‐Ibarz United Kingdom 3 13 0.3× 28 0.6× 10 0.3× 21 2.1× 7 0.7× 5 53
Elizabeth Colby United Kingdom 4 14 0.3× 19 0.4× 13 0.4× 39 3.9× 5 0.5× 6 94
Alexandra Christodoulou United States 3 19 0.4× 19 0.4× 14 0.4× 19 1.9× 4 0.4× 6 45

Countries citing papers authored by Enrico Lista

Since Specialization
Citations

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

Fields of papers citing papers by Enrico Lista

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enrico Lista

This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Lista. A scholar is included among the top collaborators of Enrico Lista 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 Enrico Lista. Enrico Lista is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Berti, Alvise, Michele Tomasi, Isabella Pesce, et al.. (2024). Identification of the central tolerance checkpoint for autoreactive proteinase 3+ B cells in human bone marrow. Journal of Autoimmunity. 149. 103330–103330. 1 indexed citations
2.
Cavallari, Maurizio, Francesco Cavazzini, Antonella Bardi, et al.. (2018). Biological significance and prognostic/predictive impact of complex karyotype in chronic lymphocytic leukemia. Oncotarget. 9(76). 34398–34412. 11 indexed citations
3.
Rigolin, Gian Matteo, Luca Formigaro, Maurizio Cavallari, et al.. (2017). AN EXTENSIVE MOLECULAR CYTOGENETIC CHARACTERIZATION IN HIGH-RISK CHRONIC LYMPHOCYTIC LEUKEMIA IDENTIFIES KARYOTYPE ABERRATIONS AND TP53 DISRUPTION AS PREDICTORS OF OUTCOME AND CHEMOREFRACTORINESS. Haematologica. 102. 419–419. 1 indexed citations
4.
Rigolin, Gian Matteo, Luca Formigaro, Maurizio Cavallari, et al.. (2017). An extensive molecular cytogenetic characterization in high-risk chronic lymphocytic leukemia identifies karyotype aberrations and TP53 disruption as predictors of outcome and chemorefractoriness. Oncotarget. 8(17). 28008–28020. 12 indexed citations
5.
Rigolin, Gian Matteo, Elena Saccenti, Cristian Bassi, et al.. (2016). Extensive next-generation sequencing analysis in chronic lymphocytic leukemia at diagnosis: clinical and biological correlations. Journal of Hematology & Oncology. 9(1). 103–103. 27 indexed citations
6.
Rigolin, Gian Matteo, Genesio Leo, Roberta Gafà, et al.. (2014). Complete remission of Sweet’s syndrome after azacytidine treatment for concomitant myelodysplastic syndrome. International Journal of Hematology. 99(5). 663–667. 7 indexed citations
7.
Rigolin, Gian Matteo, et al.. (2013). Delirium in acute promyelocytic leukemia patients: two case reports. BMC Research Notes. 6(1). 469–469. 2 indexed citations
8.
Rigolin, Gian Matteo, Elena Saccenti, Lara Rizzotto, et al.. (2013). Genetic subclonal complexity and miR125a-5p down-regulation identify a subset of patients with inferior outcome in low-risk CLL patients. Oncotarget. 5(1). 140–149. 7 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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