Lilla Cro

30 papers receiving 1.8k citations

Hit Papers

Gene Expression Profiling of B Cell Chronic Lymphocytic Leukemia Reveals a Homogeneous Phenotype Related to Memory B Cells 2001 · 704 citations
7040+8+16Years since publication200400600

Peers

Lilla Cro
Comparison fields: 5 of 72
  • Genetics 1.0k
  • Hematology 575
  • Pathology and Forensic Medicine 722
  • Immunology 544
  • Oncology 472
Replace Antonella Zucchetto with:
Antonella Zucchetto Italy
Christine Dierks Germany
Jonathan C. Strefford United Kingdom
Ellen Schlette United States
Florence Ajchenbaum‐Cymbalista France
Stefania Gobessi Italy
Enrico Tiacci Italy
Riccardo Bomben Italy
Mariela Sivina United States
Gema Mateo Spain
Lilla Cro relative to Antonella Zucchetto Italy Antonella Zucchetto's profile →
Citations per field
00.5×1.5×2.4×
Antonella Zucchetto · 1×
Citations per year

Countries citing papers authored by Lilla Cro

Since Specialization
Citations

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

Fields of papers citing papers by Lilla Cro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gene Expression Profiling of B Cell Chronic Lymphocytic Leukemia Reveals a Homogeneous Phenotype Related to Memory B Cells
Hit paper breakdown →
2001704
2 1997178
3 1993158
4 1989145
5 2014126
6 2005104
7 200946
8 199246
9 199445
10 199239
11 199434
12 199722
13 199422
14 199021
15 201321
16 200021
17 200820
18 200318
19 200918
20 199318

About Lilla Cro

Lilla Cro is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Oncology and Immunology, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (18 papers), Lymphoma Diagnosis and Treatment (12 papers), Multiple Myeloma Research and Treatments (8 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Viral-associated cancers and disorders (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Genetics (1.0k citations), Hematology (575 citations), Pathology and Forensic Medicine (722 citations), Immunology (544 citations) and Oncology (472 citations). Lilla Cro has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Luca Baldini, Antonino Neri, Riccardo Dalla‐Favera, Michela Mattioli, Giorgio Cattoretti, Hervé Husson, Andrea Califano, Gustavo Stolovitzky, Arnold S. Freedman and Giorgio Inghirami. Their work appears in journals such as Blood, American Journal of Hematology, Cancer, British Journal of Haematology and The Journal of Experimental Medicine.

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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