Massimo Palmarini

17.1k citations
120 papers · 5.6k indexed · 1 hit paper · h-index 46

Impact in

Papers in

Massimo Palmarini

116 papers receiving 5.5k citations

Hit Papers

Evolution of enhanced innate immune suppression by SARS-CoV-2 Omicron subvariants 2024 · 34 citations
34202420262025102030

Peers

Massimo Palmarini
Comparison fields: 5 of 104
  • Microbiology 1.1k
  • Small Animals 2.2k
  • Agronomy and Crop Science 1.4k
  • Cancer Research 1.4k
  • Infectious Diseases 1.6k
Replace James C. DeMartini with:
James C. DeMartini United States
Michael D. Lairmore United States
Mariana Varela United Kingdom
Yasuo Inoshima Japan
Ν. James MacLachlan United States
Lluís Ferrer Spain
Jens P. Teifke Germany
Hisashi INOKUMA Japan
Horst Posthaus Switzerland
Júlio Benavides Spain
Massimo Palmarini relative to James C. DeMartini United States James C. DeMartini's profile →
Citations per field
00.5×7.4×
James C. DeMartini · 1×
Citations per year

Countries citing papers authored by Massimo Palmarini

Since Specialization
Citations

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

Fields of papers citing papers by Massimo Palmarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3
Evolution of enhanced innate immune suppression by SARS-CoV-2 Omicron subvariants
Hit paper breakdown →
202434
4 20222
5 2021117
6 202016
7 20193
8 201816
9 201330
10 2011220
11 200949
12 200819
13 20078
14 200711
15 200625
16 200510
17 200331
18 200228
19 200053
20 199322

About Massimo Palmarini

Massimo Palmarini is a scholar working on Microbiology, Small Animals, Agronomy and Crop Science, Cancer Research and Infectious Diseases, having authored 120 papers that have together received 5.6k indexed citations. Recurring topics across this work include Infectious Diseases and Mycology (59 papers), Myxozoan Parasites in Aquatic Species (44 papers), Vector-Borne Animal Diseases (38 papers), Animal Disease Management and Epidemiology (34 papers), Viral Infections and Vectors (32 papers), Actinomycetales infections and treatment (27 papers), Plant Disease Resistance and Genetics (14 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). The work is most often cited by research in Microbiology (1.1k citations), Small Animals (2.2k citations), Agronomy and Crop Science (1.4k citations), Cancer Research (1.4k citations) and Infectious Diseases (1.6k citations). Massimo Palmarini has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Thomas E. Spencer, Hung Fan, J. M. Sharp, Mariana Varela, Marco Caporale, M. De las Heras, Claudio Murgia, Frédérick Arnaud, H Fan and Andrew E. Shaw. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Virology, Journal of General Virology and Proceedings of the National Academy of Sciences.

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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