Lorenzo M. Leoni

4.5k citations
57 papers · 3.7k indexed · h-index 30

Lorenzo M. Leoni

56 papers receiving 3.6k citations

Peers

Lorenzo M. Leoni
Comparison fields: 5 of 116
  • Virology 350
  • Genetics 786
  • Immunology 758
  • Hematology 352
  • Oncology 817
Replace Salvatore Venuta with:
Salvatore Venuta Italy
Christoph Driessen Switzerland
Ronald P. McCaffrey United States
Victor S. Goldmacher United States
Hitoshi Nagaoka Japan
Thomas H. Tötterman Sweden
Sigrid Hatse Belgium
Alberto Anel Spain
Marina Fabbi Italy
Wendy B. Bernstein United States
Lorenzo M. Leoni relative to Salvatore Venuta Italy Salvatore Venuta's profile →
Citations per field
00.5×1.5×2.2×
Salvatore Venuta · 1×
Citations per year

Countries citing papers authored by Lorenzo M. Leoni

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo M. Leoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorenzo M. Leoni. 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 Lorenzo M. Leoni. The network helps show where Lorenzo M. Leoni may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20132
2 201141
3 201147
4 20117
5 200614
6
Brief exposure to SDX-105 (Treanda™) activates potent apoptosis and cell death in lymphoma and leukemia cells
20051
7
Mitotic catastrophe induced in cells treated with SDX-105 (Treanda™)
20052
8 200544
9
In vitro and ex vivo activity of SDX-105 (bendamustine) in drug-resistant lymphoma cells
200422
10
Induction of growth arrest and apoptosis by MNNG is associated with up-regulation of Cdk inhibitor p21 and down-regulation of cyclooxygenase-2 expression
20047
11 200428
12 20040
13 20037
14 200352
15 2002160
16 2000142
17 2000110
18 2000107
19 1997220
20 19966

About Lorenzo M. Leoni

Lorenzo M. Leoni is a scholar working on Genetics, Virology, Oncology, Hematology and Molecular Biology, having authored 57 papers that have together received 3.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Cancer therapeutics and mechanisms (7 papers), Cell death mechanisms and regulation (7 papers), Cancer-related Molecular Pathways (6 papers), Acute Lymphoblastic Leukemia research (6 papers), Cancer-related gene regulation (5 papers), Epigenetics and DNA Methylation (5 papers) and Inflammatory mediators and NSAID effects (5 papers). The work is most often cited by research in Virology (350 citations), Genetics (786 citations), Immunology (758 citations), Hematology (352 citations) and Oncology (817 citations). Lorenzo M. Leoni has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Dennis A. Carson, Davide Genini, Howard B. Cottam, Jacques Corbeil, Carlos J. Carrera, Maripat Corr, Desheng Lu, Chao Qi, Souichi Adachi and Malini Sen. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Cancer Research, Seminars in Hematology and Clinical Cancer Research.

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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