Mario Falchi

123 papers receiving 3.2k citations

Peers

Mario Falchi
Comparison fields: 5 of 148
  • Cancer Research 557
  • Physiology 152
  • Virology 141
  • Biochemistry 143
  • Immunology 477
Replace Marco Corazzari with:
Marco Corazzari Italy
Zahra Zakeri United States
Hans Kristian Lorenzo France
Silvia Corvera United States
Sascha Sauer Germany
Ming Zhang China
Hong Cao China
Christoph Borner Germany
László Fésüs Hungary
L Ravagnan France
Mario Falchi relative to Marco Corazzari Italy Marco Corazzari's profile →
Citations per field
00.5×4.3×
Marco Corazzari · 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 2002246
2 2011201
3 2000187
4 2002173
5 2018172
6 2017142
7 201691
8 199686
9 200278
10 200677
11 200665
12 200665
13 201962
14 201953
15 200751
16 201951
17
Hyperalgesic effect of intrathecally administered interleukin-1 in rats.
200150
18 199748
19
Resveratrol inhibits TNF alpha-induced endothelial cell activation.
200245
20 201043

About Mario Falchi

Mario Falchi is a scholar working on Molecular Biology, Immunology, Physiology, Pulmonary and Respiratory Medicine 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), Pneumonia and Respiratory Infections (7 papers), Biochemical effects in animals (6 papers), Air Quality and Health Impacts (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Phytochemicals and Antioxidant Activities (6 papers), Occupational and environmental lung diseases (6 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Cancer Research (557 citations), Physiology (152 citations), Virology (141 citations), Biochemistry (143 citations) and Immunology (477 citations). Mario Falchi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Mariantonia Logozzi, Stefano Fais, Rossella Di Raimo, Davide Mizzoni, Barbara Ensoli, Daniela F. Angelini, Elena Toschi, Ilaria Bacigalupo, Giovanni Barillari and Stefania Parlato. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Chemotherapy, Journal of Enzyme Inhibition and Medicinal Chemistry, Journal of Virology and Pharmacology.

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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