Matilde Forcella

1.3k citations
63 papers · 1.0k · h-index 18

Impact in

Papers in

Matilde Forcella

61 papers receiving 1.0k citations

Peers

Matilde Forcella
Comparison fields: 5 of 112
  • Health, Toxicology and Mutagenesis 173
  • Aging 15
  • Nutrition and Dietetics 121
  • Molecular Biology 471
  • Food Science 110
Replace Elisa M. Valenzuela‐Soto with:
Elisa M. Valenzuela‐Soto Mexico
Jia Guo China
Dahye Yoon South Korea
Bryan L. Stegelmeier United States
Luigia Pazzagli Italy
D. L. Spector United States
Jae Soon Kang South Korea
Chao Xu China
Toshihide Suzuki Japan
Matilde Forcella relative to Elisa M. Valenzuela‐Soto Mexico Elisa M. Valenzuela‐Soto's profile →
Citations per field
00.5×2.9×
Elisa M. Valenzuela‐Soto · 1×
Citations per year

Countries citing papers authored by Matilde Forcella

Since Specialization
Citations

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

Fields of papers citing papers by Matilde Forcella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201974
2 201956
3 200953
4 201851
5 201549
6 200438
7 202337
8 201036
9 201034
10 202131
11 200628
12 201222
13 201722
14 201321
15 200719
16 201519
17 202119
18 202318
19 201417
20 202117

About Matilde Forcella

Matilde Forcella is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cellular and Molecular Neuroscience, Ecology and Nutrition and Dietetics, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Neurobiology and Insect Physiology Research (8 papers), Heavy Metal Exposure and Toxicity (7 papers), Insect Resistance and Genetics (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Environmental Toxicology and Ecotoxicology (6 papers), Physiological and biochemical adaptations (6 papers) and Trace Elements in Health (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (173 citations), Aging (15 citations), Nutrition and Dietetics (121 citations), Molecular Biology (471 citations) and Food Science (110 citations). Matilde Forcella has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Paola Fusi, Paolo Parenti, Roberto Giacchini, Eugenio Monti, Chiara Urani, Patrizia Di Gennaro, Pasquale Melchioretto, Alessandra Mozzi, Bruno Rossaro and Francesca Cardona. Their work appears in journals such as International Journal of Molecular Sciences, Archives of Insect Biochemistry and Physiology, Glycobiology, Toxicology in Vitro 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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