Daniela Marchis

925 citations
40 papers · 728 · h-index 14

Impact in

    • Melamine detection and toxicity
    • Food Waste Reduction and Sustainability
    • Insect Utilization and Effects

Papers in

Daniela Marchis

35 papers receiving 704 citations

Peers

Daniela Marchis
Comparison fields: 5 of 92
  • Food Science 244
  • Insect Science 152
  • Animal Science and Zoology 110
  • Analytical Chemistry 96
  • Biophysics 44
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Anna‐Liisa Välimaa Finland
Abdu Mahmud United States
Bereket Abraha China
Wanjun Zhang China
Yun‐Hwa Peggy Hsieh United States
Xiaohui Xiong China
Colleen Christensen Canada
Sa Dong China
Jianfeng Lu China
Yaxin Wang China
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Marchis

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Marchis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014149
2 2021129
3 2019108
4 200155
5 200944
6 201740
7 201132
8 201726
9 202117
10 201714
11 201814
12 201713
13 201713
14 201013
15 20076
16 20225
17 20145
18 20244
19 20234
20 20224

About Daniela Marchis

Daniela Marchis is a scholar working on Molecular Biology, Food Science, Animal Science and Zoology, Pollution and Insect Science, having authored 40 papers that have together received 728 indexed citations. Recurring topics across this work include Identification and Quantification in Food (13 papers), Insect Utilization and Effects (6 papers), Meat and Animal Product Quality (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Agriculture Sustainability and Environmental Impact (3 papers), Analytical chemistry methods development (3 papers), Insect and Arachnid Ecology and Behavior (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Food Science (244 citations), Insect Science (152 citations), Animal Science and Zoology (110 citations), Analytical Chemistry (96 citations) and Biophysics (44 citations). Daniela Marchis has collaborated with scholars based in Italy, Switzerland and Belgium. Frequent co-authors include L. Pinotti, Marco Tretola, M. Ottoboni, Maria Cesarina Abete, Andrea Mario Rossi, Carlotta Giromini, Andrea Mario Giovannozzi, Michela Sega, Stefania Squadrone and Michele Manoni. Their work appears in journals such as Food Additives & Contaminants Part A, Food Control, Food Chemistry, Italian Journal of Animal Science and Foods.

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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