Eleonora Lapi

1.7k citations
14 papers · 1.1k · h-index 11

Impact in

    • Hippo pathway signaling and YAP/TAZ
  • Oncology top 10%
    • Cancer-related Molecular Pathways

Papers in

    • Cell death mechanisms and regulation 4
    • Ubiquitin and proteasome pathways 2
    • Epigenetics and DNA Methylation 2
    • RNA Interference and Gene Delivery 2
    • Genomics and Chromatin Dynamics 2
    • Cancer-related Molecular Pathways 9

Eleonora Lapi

14 papers receiving 1.1k citations

Peers

Eleonora Lapi
Comparison fields: 5 of 73
  • Cell Biology 507
  • Oncology 388
  • Molecular Biology 726
  • Biotechnology 88
  • Cancer Research 99
Replace Alexander Damalas with:
Alexander Damalas Italy
Troy Joseph United States
Shai White‐Gilbertson United States
Robert Elez Germany
Jung-Kuang Hsieh United Kingdom
Crystal S. Conn United States
Blanca Felipe‐Abrio Spain
Olimpia Monti Italy
Eveline E. Vietsch United States
Goodwin G. Jinesh United States
Eleonora Lapi relative to Alexander Damalas Italy Alexander Damalas's profile →
Citations per field
00.5×1.5×1.9×
Alexander Damalas · 1×
Citations per year

Countries citing papers authored by Eleonora Lapi

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Lapi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2005310
2 2008217
3 2005177
4 201294
5 201088
6 200643
7 201941
8 201031
9 200631
10 202026
11 202123
12 20059
13 20236
14 20201

About Eleonora Lapi

Eleonora Lapi is a scholar working on Molecular Biology, Oncology, Surgery, Pathology and Forensic Medicine and Urology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (9 papers), Cell death mechanisms and regulation (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Ubiquitin and proteasome pathways (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Interference and Gene Delivery (2 papers), Genomics and Chromatin Dynamics (2 papers) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cell Biology (507 citations), Oncology (388 citations), Molecular Biology (726 citations), Biotechnology (88 citations) and Cancer Research (99 citations). Eleonora Lapi has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Giovanni Blandino, Sabrina Strano, Ada Sacchi, Xin Lü, Giulia Fontemaggi, Gianluca Bossi, Cinzia Rinaldo, Olimpia Monti, Alexander Damalas and Silvia Di Agostino. Their work appears in journals such as Oncogene, Molecular Cell, Cell Death and Differentiation, Urologic Oncology Seminars and Original Investigations and Head & Neck.

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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