Enza Lonardo

3.5k citations
37 papers · 2.6k indexed · 1 hit paper · h-index 23
Topics
Cancer Cells and Metastasis (16 papers)Pancreatic and Hepatic Oncology Research (14 papers)Cancer Genomics and Diagnostics (4 papers)
Partner nations
ItalySpainUnited States

In The Last Decade

Enza Lonardo

36 papers receiving 2.6k citations

Hit Papers

Stromal gene expression defines poor-prognosis subtypes i...20152026201820222015250500750

Peers

Enza Lonardo
Comparison fields: 5 of 108
  • Oncology 1.5k
  • Molecular Biology 1.4k
  • Cancer Research 666
  • Immunology 290
  • Surgery 258
Replace Clodia Osipo with:
Clodia Osipo United States
Aya Kobayashi Japan
Annemilaï Tijeras‐Raballand France
Lawrence N. Kwong United States
Julia Schüler Germany
María Virtudes Céspedes Spain
Clémence Thomas France
Zeshaan A. Rasheed United States
Kurt W. Evans United States
Sharmila A. Bapat India
Enza Lonardo relative to Clodia Osipo United States Clodia Osipo's profile →
Citations per field
00.5×3.5×
Clodia Osipo · 1×
Citations per year

Countries citing papers authored by Enza Lonardo

Since Specialization
Citations

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

Fields of papers citing papers by Enza Lonardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enza Lonardo

This figure shows the co-authorship network connecting the top 25 collaborators of Enza Lonardo. A scholar is included among the top collaborators of Enza Lonardo 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 Enza Lonardo. Enza Lonardo 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
#WorkIndexed citations
1 0
2 4
3 3
4 19
5 24
6 57
7 54
8
Stromal gene expression defines poor-prognosis subtypes in colorectal cancerbreakdown →
775
9 120
10 22
11 3
12 140
13 15
14 146
15 71
16 80
17 47
18 42
19 66
20
A versatile method for differentiation of multiple neuronal subtypes from mouse embryonic stem cells
5

About Enza Lonardo

Enza Lonardo is a scholar working on Oncology, Cancer Research and Biophysics, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (16 papers), Pancreatic and Hepatic Oncology Research (14 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Oncology (1.5k citations), Cancer Research (666 citations) and Molecular Biology (1.4k citations). Enza Lonardo has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Christopher Heeschen, Eduard Batlle, Alexandre Calon, Daniele V. F. Tauriello, Patrick Hermann, Marta Sevillano, Manuel Hidalgo, Xavier Hernando‐Momblona, Irene Miranda‐Lorenzo and Anamaria Balic. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

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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