Carmen Lammi

3.7k total citations
113 papers, 2.9k citations indexed

About

Carmen Lammi is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Surgery. According to data from OpenAlex, Carmen Lammi has authored 113 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 24 papers in Ecology, Evolution, Behavior and Systematics and 17 papers in Surgery. Recurrent topics in Carmen Lammi's work include Protein Hydrolysis and Bioactive Peptides (47 papers), Botanical Research and Chemistry (24 papers) and Insect Utilization and Effects (14 papers). Carmen Lammi is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (47 papers), Botanical Research and Chemistry (24 papers) and Insect Utilization and Effects (14 papers). Carmen Lammi collaborates with scholars based in Italy, Spain and Switzerland. Carmen Lammi's co-authors include Anna Arnoldi, Chiara Zanoni, Gilda Aiello, Giovanna Boschin, Carlotta Bollati, Martina Bartolomei, Giulio Vistoli, Giovanni Grazioso, Giulia Ranaldi and Simonetta Ferruzza and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Biochemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Carmen Lammi

108 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carmen Lammi Italy 33 1.9k 549 387 387 356 113 2.9k
Gilda Aiello Italy 21 797 0.4× 284 0.5× 115 0.3× 109 0.3× 152 0.4× 49 1.2k
María C. Millán-Linares Spain 26 1.1k 0.6× 640 1.2× 85 0.2× 156 0.4× 362 1.0× 84 2.1k
Luiz Cláudio Di Stasi Brazil 31 1.0k 0.6× 874 1.6× 164 0.4× 102 0.3× 1.1k 3.2× 90 3.2k
Wen‐Chin Yang Taiwan 32 1.1k 0.6× 284 0.5× 130 0.3× 60 0.2× 676 1.9× 101 3.2k
Eun‐Rhan Woo South Korea 40 2.4k 1.3× 526 1.0× 84 0.2× 105 0.3× 1.2k 3.3× 132 4.1k
Chunlei Liu China 25 1.2k 0.6× 331 0.6× 56 0.1× 31 0.1× 185 0.5× 73 1.7k
Maria Rosa Lovati Italy 22 564 0.3× 264 0.5× 312 0.8× 328 0.8× 374 1.1× 52 1.9k
Ángeles Fernández Spain 31 1.3k 0.7× 527 1.0× 216 0.6× 64 0.2× 1.9k 5.3× 67 3.6k
Ben O. de Lumen United States 30 2.0k 1.0× 704 1.3× 39 0.1× 46 0.1× 302 0.8× 41 2.5k
Maria Barbara Pisano Italy 28 1.4k 0.7× 1.5k 2.7× 115 0.3× 26 0.1× 680 1.9× 67 3.1k

Countries citing papers authored by Carmen Lammi

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Lammi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Lammi

This figure shows the co-authorship network connecting the top 25 collaborators of Carmen Lammi. A scholar is included among the top collaborators of Carmen Lammi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carmen Lammi. Carmen Lammi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aiello, Gilda, Giovanna Boschin, Carlo F. Morelli, et al.. (2025). ACE-inhibitory activity and antioxidant properties of a low MW rice bran protein hydrolysate. LWT. 217. 117381–117381. 3 indexed citations
2.
Aita, Sara Elsa, Carlotta Bollati, Giovanna Boschin, et al.. (2025). Seaweed (G. gracilis) Protein Hydrolyzates: A Valuable Source of Short- and Medium-Chain Peptides with Multifunctional Properties. Journal of Agricultural and Food Chemistry. 73(30). 18783–18794.
3.
Bollati, Carlotta, et al.. (2025). Antioxidant and Anti-Inflammatory Activity of a New Formulation of Slow-Release Amino Acids in Human Intestinal Caco-2 Cells. Antioxidants. 14(3). 271–271. 1 indexed citations
7.
Bollati, Carlotta, et al.. (2023). Bioavailability Assessment of an Iron Formulation Using Differentiated Human Intestinal Caco-2 Cells. Foods. 12(16). 3016–3016. 8 indexed citations
8.
Li, Jianqiang, Carlotta Bollati, Ivan Cruz‐Chamorro, et al.. (2023). Food-derived peptides with hypocholesterolemic activity: Production, transepithelial transport and cellular mechanisms. Trends in Food Science & Technology. 143. 104279–104279. 8 indexed citations
11.
Lammi, Carmen, Gilda Aiello, Carlotta Bollati, et al.. (2021). Trans-Epithelial Transport, Metabolism, and Biological Activity Assessment of the Multi-Target Lupin Peptide LILPKHSDAD (P5) and Its Metabolite LPKHSDAD (P5-Met). Nutrients. 13(3). 863–863. 26 indexed citations
12.
Bartolomei, Martina, Carlotta Bollati, Maria Bellumori, et al.. (2021). Extra Virgin Olive Oil Phenolic Extract on Human Hepatic HepG2 and Intestinal Caco-2 Cells: Assessment of the Antioxidant Activity and Intestinal Trans-Epithelial Transport. Antioxidants. 10(1). 118–118. 18 indexed citations
13.
Macchi, Chiara, Maria Francesca Greco, Nicola Ferri, et al.. (2021). Impact of Soy β-Conglycinin Peptides on PCSK9 Protein Expression in HepG2 Cells. Nutrients. 14(1). 193–193. 10 indexed citations
14.
Lammi, Carmen, Martina Bartolomei, Carlotta Bollati, et al.. (2021). Phenolic Extracts from Extra Virgin Olive Oils Inhibit Dipeptidyl Peptidase IV Activity: In Vitro, Cellular, and In Silico Molecular Modeling Investigations. Antioxidants. 10(7). 1133–1133. 6 indexed citations
15.
Montone, Carmela Maria, Sara Elsa Aita, Anna Arnoldi, et al.. (2021). Characterization of the Trans-Epithelial Transport of Green Tea (C. sinensis) Catechin Extracts with In Vitro Inhibitory Effect against the SARS-CoV-2 Papain-like Protease Activity. Molecules. 26(21). 6744–6744. 7 indexed citations
16.
Lammi, Carmen, Maria Bellumori, Lorenzo Cecchi, et al.. (2020). Extra Virgin Olive Oil Phenol Extracts Exert Hypocholesterolemic Effects through the Modulation of the LDLR Pathway: In Vitro and Cellular Mechanism of Action Elucidation. Nutrients. 12(6). 1723–1723. 40 indexed citations
17.
Lammi, Carmen, Nádia Mulinacci, Lorenzo Cecchi, et al.. (2020). Virgin Olive Oil Extracts Reduce Oxidative Stress and Modulate Cholesterol Metabolism: Comparison between Oils Obtained with Traditional and Innovative Processes. Antioxidants. 9(9). 798–798. 18 indexed citations
18.
Lammi, Carmen, Carlotta Bollati, Davide Lecca, Maria P. Abbracchio, & Anna Arnoldi. (2019). Lupin Peptide T9 (GQEQSHQDEGVIVR) Modulates the Mutant PCSK9D374Y Pathway: in vitro Characterization of its Dual Hypocholesterolemic Behavior. Nutrients. 11(7). 1665–1665. 27 indexed citations
19.
Pucci, Susanna, Francesca Fasoli, Carmen Lammi, et al.. (2018). Potent Antiglioblastoma Agents by Hybridizing the Onium-Alkyloxy-Stilbene Based Structures of an α7-nAChR, α9-nAChR Antagonist and of a Pro-Oxidant Mitocan. Journal of Medicinal Chemistry. 61(23). 10531–10544. 23 indexed citations
20.
Lammi, Carmen, Gilda Aiello, Giulio Vistoli, et al.. (2016). A multidisciplinary investigation on the bioavailability and activity of peptides from lupin protein. Journal of Functional Foods. 24. 297–306. 67 indexed citations

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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