Laura Caleca

629 citations
11 papers · 338 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • DNA Repair Mechanisms
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • CRISPR and Genetic Engineering

Papers in

    • CRISPR and Genetic Engineering 5
    • DNA Repair Mechanisms 2
    • Extracellular vesicles in disease 2
    • RNA modifications and cancer 2
    • BRCA gene mutations in cancer 5
    • Genomics and Rare Diseases 2
    • Genomic variations and chromosomal abnormalities 2

Laura Caleca

11 papers receiving 337 citations

Peers

Laura Caleca
Comparison fields: 5 of 43
  • Cancer Research 128
  • Molecular Biology 221
  • Genetics 82
  • Oncology 51
  • Pathology and Forensic Medicine 26
Replace Katharina Eirich with:
Katharina Eirich Germany
Dianne Chadwick Canada
Laura M. Urbanski United States
Ashton C. Berger United States
Davy Rockx Netherlands
Benfu He China
Traci Lifsted United States
Chi‐Hung Lin Taiwan
A. Mitkova Bulgaria
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Laura Caleca relative to Katharina Eirich Germany Katharina Eirich's profile →
Citations per field
00.5×
Katharina Eirich · 1×
Citations per year

Countries citing papers authored by Laura Caleca

Since Specialization
Citations

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

Fields of papers citing papers by Laura Caleca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201468
2 201862
3 201144
4 201339
5 201936
6 200835
7 201420
8 202117
9 201812
10 20194
11 20231

About Laura Caleca

Laura Caleca is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 11 papers that have together received 338 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (5 papers), CRISPR and Genetic Engineering (5 papers), MicroRNA in disease regulation (4 papers), Genomics and Rare Diseases (2 papers), DNA Repair Mechanisms (2 papers), Extracellular vesicles in disease (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (128 citations), Molecular Biology (221 citations), Genetics (82 citations), Oncology (51 citations) and Pathology and Forensic Medicine (26 citations). Laura Caleca has collaborated with scholars based in Italy, United States and Denmark. Frequent co-authors include Paolo Radice, Gabriella Sozzi, Ugo Pastorino, Orazio Fortunato, Stefania Tommasi, Mattia Boeri, Simona De Summa, Massimo Moro, Luca Roz and Davide Conte. Their work appears in journals such as Frontiers in Oncology, PLoS ONE, Cell Death and Disease, Cancers and Annals of Oncology.

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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