Massimo Mallardo

59 papers receiving 2.1k citations

Peers

Massimo Mallardo
Comparison fields: 5 of 115
  • Virology 387
  • Cancer Research 473
  • Immunology 494
  • Health, Toxicology and Mutagenesis 235
  • Molecular Biology 983
Replace Bjørn A. Nexø with:
Bjørn A. Nexø Denmark
Karen S. Sellins United States
Levana Sherman Israel
Yoshiro Koda Japan
Cindy Knall United States
Shunbin Ning United States
Clifford J. Bellone United States
Shitao Li United States
Alexandros Zafiropoulos Greece
Arūnas Kazlauskas Lithuania
Massimo Mallardo relative to Bjørn A. Nexø Denmark Bjørn A. Nexø's profile →
Citations per field
00.5×4.3×
Bjørn A. Nexø · 1×
Citations per year

Countries citing papers authored by Massimo Mallardo

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Mallardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008215
2 1994213
3 2003140
4 2012103
5 1997102
6 199695
7 199085
8 201561
9 200153
10 201551
11 200850
12 199350
13 201945
14 199644
15 201542
16 200238
17 200837
18 202136
19 200635
20 200934

About Massimo Mallardo

Massimo Mallardo is a scholar working on Molecular Biology, Cancer Research, Immunology, Health, Toxicology and Mutagenesis and Virology, having authored 59 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Effects and risks of endocrine disrupting chemicals (9 papers), HIV Research and Treatment (7 papers), Toxic Organic Pollutants Impact (5 papers), NF-κB Signaling Pathways (5 papers), Herpesvirus Infections and Treatments (5 papers), MicroRNA in disease regulation (5 papers) and Thyroid Disorders and Treatments (4 papers). The work is most often cited by research in Virology (387 citations), Cancer Research (473 citations), Immunology (494 citations), Health, Toxicology and Mutagenesis (235 citations) and Molecular Biology (983 citations). Massimo Mallardo has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Concetta Ambrosino, Ileana Quinto, Giuseppe Scala, Maria Rosaria Ruocco, Salvatore Venuta, Stefano Bonatti, Palmiro Poltronieri, Francesca Baldassarre, Mario De Felice and Annalisa Rossi. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences, Scientific Reports, The Journal of Experimental Medicine and Cancers.

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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