Massimo Zollo

10.7k citations
96 papers · 3.6k · h-index 31

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Mechanisms of cancer metastasis
    • Circular RNAs in diseases
    • RNA modifications and cancer

Papers in

Massimo Zollo

96 papers receiving 3.5k citations

Peers

Massimo Zollo
Comparison fields: 5 of 117
  • Cancer Research 762
  • Molecular Biology 2.3k
  • Oncology 589
  • Genetics 218
  • Cell Biology 294
Replace Hong Yin with:
Hong Yin China
Bangyan L. Stiles United States
Gary G. Chiang United States
Linda M. Boxer United States
Michiaki Kohno Japan
C. Elizabeth Caldon Australia
Jennifer D. Black United States
Eric Chastre France
Young Il Yeom South Korea
Julie Nardone United States
Massimo Zollo relative to Hong Yin China Hong Yin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Massimo Zollo

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Zollo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012294
2 2010254
3 1989214
4 1996165
5 2012159
6 2011135
7 2010117
8 2004105
9 2008102
10 200699
11 199699
12 199894
13 201283
14 201079
15 198975
16 201070
17 199963
18 200950
19 201249
20 201248

About Massimo Zollo

Massimo Zollo is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Cancer Research and Infectious Diseases, having authored 96 papers that have together received 3.6k indexed citations. Recurring topics across this work include Mechanisms of cancer metastasis (21 papers), Cancer Mechanisms and Therapy (12 papers), SARS-CoV-2 and COVID-19 Research (8 papers), MicroRNA in disease regulation (7 papers), Peptidase Inhibition and Analysis (7 papers), Genomics and Chromatin Dynamics (6 papers), RNA modifications and cancer (6 papers) and Ferrocene Chemistry and Applications (6 papers). The work is most often cited by research in Cancer Research (762 citations), Molecular Biology (2.3k citations), Oncology (589 citations), Genetics (218 citations) and Cell Biology (294 citations). Massimo Zollo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Daniela Spano, Pasqualino De Antonellis, Andrea Ballabio, Gerhard Christofori, Chantal Heck, M. Graziella Persico, Orsetta Zuffardi, Anna D’Angelo, Alfredo Ciccodicola and Rosanna Dono. Their work appears in journals such as Genomics, Oncogene, International Journal of Molecular Sciences, Naunyn-Schmiedeberg s Archives of Pharmacology and Clinical & Experimental Metastasis.

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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