Mario Falchi

122 papers receiving 3.3k citations

Peers

Mario Falchi
Comparison fields: 5 of 146
  • Cancer Research 528
  • Physiology 151
  • Virology 118
  • Biochemistry 136
  • Immunology 456
Replace László Fésüs with:
László Fésüs Hungary
Ming Zhang China
Marco Corazzari Italy
Hans Kristian Lorenzo France
Christoph Borner Germany
Sudharsana Rao Ande Canada
Xiaohong Zhang China
Lawrence Chan United States
Greg M. Brothers Canada
Mario Falchi relative to László Fésüs Hungary László Fésüs's profile →
Citations per field
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László Fésüs · 1×
Citations per year

Countries citing papers authored by Mario Falchi

Since Specialization
Citations

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

Fields of papers citing papers by Mario Falchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002245
2 2011202
3 2000187
4 2018175
5 2002173
6 2017149
7 201693
8 199687
9 200278
10 200677
11 200666
12 200665
13 201963
14 201955
15 200753
16 201952
17
Hyperalgesic effect of intrathecally administered interleukin-1 in rats.
200150
18 199748
19
Resveratrol inhibits TNF alpha-induced endothelial cell activation.
200245
20 202143

About Mario Falchi

Mario Falchi is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Physiology and Epidemiology, having authored 125 papers that have together received 3.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), Occupational and environmental lung diseases (7 papers), Pneumonia and Respiratory Infections (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Biochemical effects in animals (6 papers), Phytochemicals and Antioxidant Activities (6 papers), Air Quality and Health Impacts (6 papers) and Antibiotics Pharmacokinetics and Efficacy (5 papers). The work is most often cited by research in Cancer Research (528 citations), Physiology (151 citations), Virology (118 citations), Biochemistry (136 citations) and Immunology (456 citations). Mario Falchi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Stefano Fais, Mariantonia Logozzi, Davide Mizzoni, Rossella Di Raimo, Barbara Ensoli, Daniela F. Angelini, Elena Toschi, Giovanni Barillari, Ilaria Bacigalupo and Luca Battistini. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Chemotherapy, Journal of Virology, Journal of Enzyme Inhibition and Medicinal Chemistry and Experimental Hematology.

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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