Daniel Martinelli

9 papers receiving 383 citations

Peers

Daniel Martinelli
Comparison fields: 5 of 77
  • Industrial and Manufacturing Engineering 117
  • Endocrinology 36
  • Biotechnology 48
  • Molecular Medicine 20
  • Mechanical Engineering 149
Replace Andrej Godány with:
Andrej Godány Slovakia
Gisella Rossana Lamas Samanamud United States
Zaigham Abbas Pakistan
James Nyirenda Zambia
Chandra Kant Singh India
Liansen Wang China
Yujie Jin China
C. M. Z. Whong Nigeria
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Martinelli

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Martinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel Martinelli, 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 Daniel Martinelli Line = papers co-authored together Daniel Martinelli links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2008180
2 2004148
3 201235
4 201624
5 20029
6
Femmes et hommes en début de carrière : les femmes commencent à tirer profit de leur réussite scolaire
20105
7 19961
8
Val de Durance : éléments de cadrage démographique et économique
20081
9
Comment évoluent les disparités régionales en matière de formation professionnelle et d'emploi des jeunes en France ?
20021

About Daniel Martinelli

Daniel Martinelli is a scholar working on Molecular Biology, Urban Studies, Industrial and Manufacturing Engineering, Ecology, Evolution, Behavior and Systematics and Language and Linguistics, having authored 9 papers that have together received 404 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (2 papers), Metal Extraction and Bioleaching (1 paper), Recycling and Waste Management Techniques (1 paper), Medieval European Literature and History (1 paper), Biocrusts and Microbial Ecology (1 paper), Microbial Metabolism and Applications (1 paper), Vibrio bacteria research studies (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (117 citations), Endocrinology (36 citations), Biotechnology (48 citations), Molecular Medicine (20 citations) and Mechanical Engineering (149 citations). Daniel Martinelli has collaborated with scholars based in Switzerland, United States and Hungary. Frequent co-authors include Helmut Brandl, Mohammad Ali Faramarzi, Reinhard Bachofen, Urs Séquin, Martin S. Pavelka, Michael Marko, Nicholas J. Mantis, Carmen A. Mannella, Chyongere Hsieh and Jeffrey G. Ault. Their work appears in journals such as Infection and Immunity, BMC Microbiology, Hydrometallurgy, Journal of Bacteriology and Applied Microbiology and Biotechnology.

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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