Franco Capozza

2.5k citations
27 papers · 2.2k · h-index 21

Impact in

    • Caveolin-1 and cellular processes
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

    • Caveolin-1 and cellular processes 21
    • Cancer, Lipids, and Metabolism 2
    • Cancer, Hypoxia, and Metabolism 1

Franco Capozza

27 papers receiving 2.1k citations

Peers

Franco Capozza
Comparison fields: 5 of 74
  • Cell Biology 786
  • Cancer Research 521
  • Oncology 259
  • Molecular Biology 515
  • Epidemiology 152
Replace Tomasz Rzymski with:
Tomasz Rzymski Poland
Ling Su China
Chuay-Yeng Koo United Kingdom
Chen‐Ying Liu China
Like Qu China
Souvik Dey United States
Stefan Kammerer Germany
Hisakazu Fujita Japan
Naoya Mimura Japan
Lucia Cicchillitti Italy
Franco Capozza relative to Tomasz Rzymski Poland Tomasz Rzymski's profile →
Citations per field
00.5×2×2.9×
Tomasz Rzymski · 1×
Citations per year

Countries citing papers authored by Franco Capozza

Since Specialization
Citations

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

Fields of papers citing papers by Franco Capozza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010371
2 2011269
3 2001242
4 2010198
5 2003136
6 201197
7 200594
8 200280
9 200973
10 200671
11 200764
12 201061
13 200760
14 200457
15 201150
16 201239
17 200338
18 200733
19 200327
20 201225

About Franco Capozza

Franco Capozza is a scholar working on Cell Biology, Cancer Research, Oncology, Molecular Biology and Epidemiology, having authored 27 papers that have together received 2.2k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (21 papers), Cancer, Lipids, and Metabolism (2 papers), Muscle Physiology and Disorders (2 papers), Mechanisms of cancer metastasis (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Cancer Cells and Metastasis (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Cell Biology (786 citations), Cancer Research (521 citations), Oncology (259 citations), Molecular Biology (515 citations) and Epidemiology (152 citations). Franco Capozza has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Michael P. Lisanti, Federica Sotgia, Richard G. Pestell, Philippe G. Frank, Gloria Bonuccelli, Terence Marques Williams, Diana Whitaker‐Menezes, William Schubert, Ubaldo Martinez‐Outschoorn and Casey Trimmer. Their work appears in journals such as American Journal Of Pathology, Cell Cycle, American Journal of Physiology-Cell Physiology, Cancer Biology & Therapy and 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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