Fabiola Molla

717 citations
8 papers · 617 · h-index 6

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 2
    • Histone Deacetylase Inhibitors Research 1
    • Biomarkers in Disease Mechanisms 3
    • Atherosclerosis and Cardiovascular Diseases 1

Fabiola Molla

8 papers receiving 613 citations

Peers

Fabiola Molla
Comparison fields: 5 of 58
  • Immunology 291
  • Cellular and Molecular Neuroscience 153
  • Molecular Biology 240
  • Cancer Research 48
  • Developmental Neuroscience 12
Replace Raita Fukaya with:
Raita Fukaya Japan
Daishi Yamakawa Japan
Carolin Schmittwolf Germany
Julie A. Kawczak United States
Ben J. E. Raveney Japan
Courtney K. Domigan United States
Maiko Yamaji United Kingdom
D. Mitchell United States
Qun Zeng Singapore
A. Bergami Italy
Fabiola Molla relative to Raita Fukaya Japan Raita Fukaya's profile →
Citations per field
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Raita Fukaya · 1×
Citations per year

Countries citing papers authored by Fabiola Molla

Since Specialization
Citations

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

Fields of papers citing papers by Fabiola Molla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2008283
2 2009188
3 201267
4 201143
5 201121
6 20117
7 20115
8 20113

About Fabiola Molla

Fabiola Molla is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Surgery and Genetics, having authored 8 papers that have together received 617 indexed citations. Recurring topics across this work include Biomarkers in Disease Mechanisms (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Mesenchymal stem cell research (1 paper), Liver physiology and pathology (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Immunology (291 citations), Cellular and Molecular Neuroscience (153 citations), Molecular Biology (240 citations), Cancer Research (48 citations) and Developmental Neuroscience (12 citations). Fabiola Molla has collaborated with scholars based in Italy, Thailand and Switzerland. Frequent co-authors include Roberto Latini, Alberto Mantovani, Cecília Garlanda, Noeleen De Angelis, Monica Salio, Stefano Chimenti, Fabio Pasqualini, Manuela Nebuloni, Virginia Maina and Enrico Giraudo. Their work appears in journals such as Current Pharmaceutical Design, Transgenic Research, PLoS ONE, Circulation and The Journal of Immunology.

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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