M. Nonus
Impact in
- Biotechnology top 5%
- Microbial Inactivation Methods
- Listeria monocytogenes in Food Safety
- Physiology top 5%
- Magnetic and Electromagnetic Effects
Papers in ⓘ
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- Microbial Inactivation Methods 8
- Enzyme Production and Characterization 2
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- Microfluidic and Bio-sensing Technologies 5
- Biofuel production and bioconversion 4
- Co-authors
- Nikolaï Lebovka (8 shared papers)Eugène Vorobiev (7 shared papers)Henri El Zakhem (6 shared papers)Jean‐Louis Lanoisellé (5 shared papers)Brigitte Thomasset (3 shared papers)Mykola Shynkaryk (2 shared papers)Mohammad Turk (3 shared papers)Jean‐Marc Nicaud (3 shared papers)
In The Last Decade
M. Nonus
16 papers receiving 316 citations
Peers
Comparison fields: 5 of 47
- Biotechnology 183
- Physiology 92
- Food Science 71
- Animal Science and Zoology 26
- Biomedical Engineering 102
Countries citing papers authored by M. Nonus
This map shows the geographic impact of M. Nonus'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. Nonus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Nonus more than expected).
Fields of papers citing papers by M. Nonus
This network shows the impact of papers produced by M. Nonus. 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. Nonus. The network helps show where M. Nonus may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Nonus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 61 | |
| 2 | 2017 | 49 | |
| 3 | 2014 | 37 | |
| 4 | 2006 | 34 | |
| 5 | 2006 | 30 | |
| 6 | 2014 | 28 | |
| 7 | 2007 | 18 | |
| 8 | 2020 | 18 | |
| 9 | 2019 | 16 | |
| 10 | 2009 | 9 | |
| 11 | 2013 | 6 | |
| 12 | 2000 | 6 | |
| 13 | 1988 | 4 | |
| 14 | ESEM Study of the Effects of Hydrolytic Enzymes on Wheat Bran Structure | 2004 | 3 |
| 15 | Electro-stimulation of S. cerevisiae wine yeasts by pulsed electric field and its effects on fermentation capacity | 2013 | 2 |
| 16 | Corrosive properties of liquid fractions issued from lignocellulosic biomass pretreatment with ionic liquids | 2016 | 1 |
About M. Nonus
M. Nonus is a scholar working on Biotechnology, Biomedical Engineering, Molecular Biology, Physiology and Control and Systems Engineering, having authored 16 papers that have together received 322 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (8 papers), Magnetic and Electromagnetic Effects (7 papers), Microfluidic and Bio-sensing Technologies (5 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Biofuel production and bioconversion (4 papers), Process Optimization and Integration (2 papers), Enzyme Production and Characterization (2 papers) and Enzyme Catalysis and Immobilization (2 papers). The work is most often cited by research in Biotechnology (183 citations), Physiology (92 citations), Food Science (71 citations), Animal Science and Zoology (26 citations) and Biomedical Engineering (102 citations). M. Nonus has collaborated with scholars based in France, Ukraine and Lebanon. Frequent co-authors include Nikolaï Lebovka, Eugène Vorobiev, Henri El Zakhem, Jean‐Louis Lanoisellé, Brigitte Thomasset, Mykola Shynkaryk, Mohammad Turk, Jean‐Marc Nicaud, Claude‐Olivier Sarde and Athanasios Béopoulos. Their work appears in journals such as Yeast, Journal of Colloid and Interface Science, Separation Science and Technology, Bioelectrochemistry and International Journal of Food Microbiology.
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.