M. Masetti

3.2k citations
55 papers · 506 indexed · h-index 12

M. Masetti

49 papers receiving 480 citations

Peers

M. Masetti
Comparison fields: 5 of 101
  • Insect Science 120
  • Parasitology 46
  • Infectious Diseases 104
  • Cellular and Molecular Neuroscience 90
  • Archeology 45
Replace Yichen Liu with:
Yichen Liu China
Lisa M. Freimark United States
Rosane Silva Brazil
Edward Daniels United States
Corinna Herrnstadt United States
Jingchun Li United States
Struan K. Sutherland Australia
Noriko Goto Japan
April Davis United States
Kimberly J. Perry United States
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Citations per field
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Citations per year

Countries citing papers authored by M. Masetti

Since Specialization
Citations

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

Fields of papers citing papers by M. Masetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20112
2 201123
3 200911
4 200838
5 200644
6 20058
7 200520
8 200411
9 20034
10
Study of the complex nurse cell - parasite in experimental trichinellosis by confocal microscopy,
20021
11 200124
12 20014
13 20002
14 19988
15 19977
16 199526
17 19955
18 19954
19 19901
20 19738

About M. Masetti

M. Masetti is a scholar working on Insect Science, Nuclear and High Energy Physics, Genetics, Cellular and Molecular Neuroscience and Hardware and Architecture, having authored 55 papers that have together received 506 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (13 papers), Neurobiology and Insect Physiology Research (11 papers), Particle Detector Development and Performance (10 papers), Neural Networks and Applications (6 papers), Invertebrate Immune Response Mechanisms (5 papers), Particle physics theoretical and experimental studies (5 papers), Fuzzy Logic and Control Systems (5 papers) and Parasite Biology and Host Interactions (5 papers). The work is most often cited by research in Insect Science (120 citations), Parasitology (46 citations), Infectious Diseases (104 citations), Cellular and Molecular Neuroscience (90 citations) and Archeology (45 citations). M. Masetti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Franco Giorgi, Fabrizio Bruschi, Antonella Cecchettini, Maria Teresa Locci, Gino Fornaciari, Roberto Santacroce, Anna Gioncada, Paola Donato, R. De Rosa and Valentina Giuffra. Their work appears in journals such as Veterinary Parasitology, Journal of Insect Physiology, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology, Archives of Insect Biochemistry and Physiology and Computer Physics Communications.

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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