Lucia Montorsi

597 citations
12 papers · 279 indexed · h-index 9
    • Cancer Genomics and Diagnostics 2
    • Cell Image Analysis Techniques 2
    • Single-cell and spatial transcriptomics 3
    • Wnt/β-catenin signaling in development and cancer 2
    • Cancer-related gene regulation 2
    • RNA Research and Splicing 2
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3

Lucia Montorsi

12 papers receiving 275 citations

Peers

Lucia Montorsi
Comparison fields: 5 of 68
  • Cancer Research 53
  • Biophysics 20
  • Cell Biology 41
  • Molecular Biology 162
  • Immunology 46
Replace Benjamin Cappe with:
Benjamin Cappe France
Andreas Digre Sweden
Nina C. Gundacker Austria
Sathya Muralidhar United Kingdom
Ulrich Vogel Germany
Claire E. Martin Canada
Cyril Torre France
Sarah Röthlisberger Colombia
Rocío López‐Vacas Spain
Twishi Gulati Australia
Lucia Montorsi relative to Benjamin Cappe France Benjamin Cappe's profile →
Citations per field
00.5×11×
Benjamin Cappe · 1×
Citations per year

Countries citing papers authored by Lucia Montorsi

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Montorsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20247
2 20234
3 202239
4 20224
5 202211
6 202252
7 202225
8 201817
9 201612
10 201643
11 201516
12 198549

About Lucia Montorsi

Lucia Montorsi is a scholar working on Biophysics, Immunology and Cancer Research, having authored 12 papers that have together received 279 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related gene regulation (2 papers), RNA Research and Splicing (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Cancer Research (53 citations), Biophysics (20 citations) and Cell Biology (41 citations). Lucia Montorsi has collaborated with scholars based in United Kingdom, Italy and Sweden. Frequent co-authors include Jo Spencer, Sandra Parenti, Alexis Grande, Tommaso Zanocco‐Marani, Sérgio Ferrari, Francesca D. Ciccarelli, Flavia Franconi, Michael J. Pitcher, Rosanna Matucci and Michele Bortolomeazzi. Their work appears in journals such as Nature Communications, Bioinformatics and Genome biology.

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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