M Audisio

67 papers receiving 1.8k citations

Peers

M Audisio
Comparison fields: 5 of 94
  • Insect Science 646
  • Food Science 501
  • Ecology, Evolution, Behavior and Systematics 408
  • Biotechnology 133
  • Animal Science and Zoology 139
Replace Daniel Severus Dezmirean with:
Daniel Severus Dezmirean Romania
C.A.R. Rosa Brazil
Carlos Horacio Acosta‐Muñiz Mexico
Patrizio Tremonte Italy
Mariantonietta Succi Italy
Izabela Święcicka Poland
Lifang Ruan China
Fernando Bittencourt Luciano Brazil
Massimo Iorizzo Italy
May Bente Brurberg Norway
M Audisio relative to Daniel Severus Dezmirean Romania Daniel Severus Dezmirean's profile →
Citations per field
00.5×5.1×
Daniel Severus Dezmirean · 1×
Citations per year

Countries citing papers authored by M Audisio

Since Specialization
Citations

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

Fields of papers citing papers by M Audisio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010149
2 2011123
3 2015106
4 2000104
5 200997
6 201290
7 201165
8 201059
9 201659
10 201156
11 200154
12 201654
13 200553
14 199953
15 201853
16 201548
17 201039
18 201539
19 201939
20 201732

About M Audisio

M Audisio is a scholar working on Food Science, Insect Science, Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Insect and Pesticide Research (17 papers), Probiotics and Fermented Foods (17 papers), Plant and animal studies (10 papers), Insect and Arachnid Ecology and Behavior (7 papers), Meat and Animal Product Quality (7 papers), Bee Products Chemical Analysis (7 papers), Protein Hydrolysis and Bioactive Peptides (6 papers) and Insect Pest Control Strategies (5 papers). The work is most often cited by research in Insect Science (646 citations), Food Science (501 citations), Ecology, Evolution, Behavior and Systematics (408 citations), Biotechnology (133 citations) and Animal Science and Zoology (139 citations). M Audisio has collaborated with scholars based in Argentina, Germany and Brazil. Frequent co-authors include Daniela C. Sabaté, María C. Apella, María Julia Torres, Carolina Ibarguren, Gabriela Petroselli, Rosa Erra‐Balsells, Gustavo Céliz, Carolina Pérez Brandán, Horacio Raúl Terzolo and Gretchen D. Oliver. Their work appears in journals such as Microbiological Research, Journal of Applied Microbiology, World Journal of Microbiology and Biotechnology, International Journal of Food Microbiology and Biological Control.

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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