Daniela Marchis

832 citations
39 papers · 634 · h-index 13

Impact in

Papers in

    • Identification and Quantification in Food 14
    • Molecular Biology Techniques and Applications 3
    • Salmonella and Campylobacter epidemiology 3

Daniela Marchis

33 papers receiving 617 citations

Peers

Daniela Marchis
Comparison fields: 5 of 82
  • Food Science 235
  • Insect Science 145
  • Animal Science and Zoology 109
  • Analytical Chemistry 91
  • Biophysics 41
Replace Sara W. Erasmus with:
Sara W. Erasmus Netherlands
Emanuela Gobbi Italy
Magdalena Montowska Poland
Sanja Vidaček Croatia
Anna‐Liisa Välimaa Finland
Stefania Balzan Italy
Monika Kędzierska‐Matysek Poland
Helga Medić Croatia
Antje Fröhling Germany
M M Chayan Mahmud Australia
Daniela Marchis relative to Sara W. Erasmus Netherlands Sara W. Erasmus's profile →
Citations per field
00.5×
Sara W. Erasmus · 1×
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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014140
2 2021120
3 2019101
4 200944
5 201739
6 201128
7 201725
8 202116
9 201814
10 201714
11 201713
12 201713
13 201013
14 20075
15 20145
16 20244
17 20224
18 20224
19 20133
20 20223

About Daniela Marchis

Daniela Marchis is a scholar working on Molecular Biology, Food Science, Animal Science and Zoology, Pollution and Insect Science, having authored 39 papers that have together received 634 indexed citations. Recurring topics across this work include Identification and Quantification in Food (14 papers), Insect Utilization and Effects (6 papers), Meat and Animal Product Quality (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Animal Nutrition and Physiology (3 papers), Insect and Arachnid Ecology and Behavior (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Molecular Biology Techniques and Applications (3 papers). The work is most often cited by research in Food Science (235 citations), Insect Science (145 citations), Animal Science and Zoology (109 citations), Analytical Chemistry (91 citations) and Biophysics (41 citations). Daniela Marchis has collaborated with scholars based in Italy, Switzerland and Austria. Frequent co-authors include L. Pinotti, Marco Tretola, M. Ottoboni, Maria Cesarina Abete, Andrea Mario Rossi, Carlotta Giromini, Andrea Mario Giovannozzi, Michela Sega, Alice Luciano 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 Analytical and Bioanalytical Chemistry.

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.

Explore authors with similar magnitude of impact