Daniela Valensin

6.1k total citations · 1 hit paper
122 papers, 5.3k citations indexed

About

Daniela Valensin is a scholar working on Molecular Biology, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Daniela Valensin has authored 122 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 53 papers in Nutrition and Dietetics and 36 papers in Physiology. Recurrent topics in Daniela Valensin's work include Trace Elements in Health (52 papers), Alzheimer's disease research and treatments (34 papers) and Prion Diseases and Protein Misfolding (33 papers). Daniela Valensin is often cited by papers focused on Trace Elements in Health (52 papers), Alzheimer's disease research and treatments (34 papers) and Prion Diseases and Protein Misfolding (33 papers). Daniela Valensin collaborates with scholars based in Italy, Poland and United Kingdom. Daniela Valensin's co-authors include Henryk Kozłowski, Gianni Valensin, Elena Gaggelli, Marek Łuczkowski, Maurizio Remelli, Anna Janicka-Kłos, Caterina Migliorini, Justyna Brasuń, Luigi Casella and Elena Molteni and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and The Journal of Physical Chemistry B.

In The Last Decade

Daniela Valensin

120 papers receiving 5.2k citations

Hit Papers

Copper Homeostasis and Neurodegenerative Disorders (Alzhe... 2006 2026 2012 2019 2006 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Valensin Italy 35 2.4k 1.6k 1.5k 1.3k 987 122 5.3k
Gianni Valensin Italy 29 2.1k 0.9× 1.2k 0.7× 1.0k 0.7× 1.4k 1.1× 947 1.0× 155 4.5k
Elena Gaggelli Italy 27 1.8k 0.8× 1.1k 0.7× 905 0.6× 1.2k 0.9× 860 0.9× 127 4.0k
Enrico Monzani Italy 40 2.4k 1.0× 803 0.5× 974 0.7× 1.7k 1.3× 1.9k 2.0× 157 6.9k
John H. Viles United Kingdom 36 3.6k 1.5× 2.2k 1.4× 2.3k 1.6× 392 0.3× 509 0.5× 66 5.5k
Imre Sóvágó Hungary 38 2.2k 0.9× 852 0.5× 677 0.5× 1.1k 0.9× 516 0.5× 156 4.6k
Kasper P. Kepp Denmark 34 1.4k 0.6× 349 0.2× 1.2k 0.8× 291 0.2× 1.0k 1.0× 121 4.7k
Gerardo Ferrer‐Sueta Uruguay 36 2.5k 1.0× 395 0.2× 1.4k 1.0× 537 0.4× 513 0.5× 65 4.9k
Daniele Sanna Italy 46 1.7k 0.7× 636 0.4× 304 0.2× 531 0.4× 757 0.8× 179 5.6k
Hirotatsu Kojima Japan 43 3.4k 1.4× 397 0.2× 1.9k 1.3× 4.6k 3.5× 4.1k 4.1× 124 10.8k
Yoram Shechter Israel 43 3.6k 1.5× 905 0.6× 858 0.6× 155 0.1× 299 0.3× 124 7.0k

Countries citing papers authored by Daniela Valensin

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Valensin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Valensin

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Valensin. A scholar is included among the top collaborators of Daniela Valensin 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 Daniela Valensin. Daniela Valensin 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
3.
Matera-Witkiewicz, Agnieszka, Magdalena Z. Wiloch, Martin Jönsson‐Niedziółka, et al.. (2025). Cu( ii ) binding to an antimicrobial shrimp peptide – a small step for structural chemistry, a big leap for medicinal applications. Chemical Science. 16(8). 3447–3458. 3 indexed citations
4.
Lamponi, Stefania, et al.. (2024). Protective Contribution of Rosmarinic Acid in Rosemary Extract Against Copper-Induced Oxidative Stress. Antioxidants. 13(11). 1419–1419. 7 indexed citations
6.
Valensin, Daniela, et al.. (2024). NMR-Based Structural Insights on Folic Acid and Its Interactions with Copper(II) Ions. Inorganics. 12(9). 248–248. 2 indexed citations
7.
Bellini, E., Carlo Sorce, Carmelina Spanò, et al.. (2023). Glutathione and phytochelatins jointly allow intracellular and extracellular detoxification of cadmium in the liverwort Marchantia polymorpha. Environmental and Experimental Botany. 209. 105303–105303. 18 indexed citations
8.
Bacchella, Chiara, Francesca Camponeschi, Isabella Tessari, et al.. (2023). Copper Binding and Redox Activity of α-Synuclein in Membrane-Like Environment. Biomolecules. 13(2). 287–287. 12 indexed citations
9.
Baratto, Maria Camilla, et al.. (2023). A Combined NMR and UV–Vis Approach to Evaluate Radical Scavenging Activity of Rosmarinic Acid and Other Polyphenols. Molecules. 28(18). 6629–6629. 9 indexed citations
10.
Valensin, Daniela, et al.. (2023). Copper Forms a PPII Helix-Like Structure with the Catalytic Domains of Bacterial Zinc Metalloproteases. Inorganic Chemistry. 62(45). 18425–18439. 2 indexed citations
11.
Palacios, Òscar, et al.. (2023). Histidine-Rich C-Terminal Tail of Mycobacterial GroEL1 and Its Copper Complex─The Impact of Point Mutations. Inorganic Chemistry. 62(18). 6893–6908. 3 indexed citations
12.
Valensin, Daniela, et al.. (2023). Exploration of Lycorine and Copper(II)’s Association with the N-Terminal Domain of Amyloid β. Inorganics. 11(11). 443–443. 2 indexed citations
13.
Potocki, Sławomir, Daniela Valensin, Francesca Camponeschi, & Henryk Kozłowski. (2013). The extracellular loop of IRT1 ZIP protein — the chosen one for zinc?. Journal of Inorganic Biochemistry. 127. 246–252. 18 indexed citations
14.
Rowińska‐Żyrek, Magdalena, Sławomir Potocki, Danuta Witkowska, Daniela Valensin, & Henryk Kozłowski. (2012). The zinc-binding fragment of HypA from Helicobacter pylori: a tempting site also for nickel ions. Dalton Transactions. 42(17). 6012–6012. 16 indexed citations
15.
Rocchi, Altea, Daniela Valensin, Carlo Aldinucci, et al.. (2012). NMR metabolomic investigation of astrocytes interacted with Aβ42 or its complexes with either copper(II) or zinc(II). Journal of Inorganic Biochemistry. 117. 326–333. 15 indexed citations
16.
Martorana, Andrea, Caterina Bernini, Daniela Valensin, et al.. (2011). Insights into the homocoupling reaction of 4-methylamino benzoic acid mediated by Trametes versicolor laccase. Molecular BioSystems. 7(11). 2967–2969. 9 indexed citations
17.
Valensin, Daniela, Karolina Gajda, Dimitri Bacco, et al.. (2009). Copper( ii ) coordination outside the tandem repeat region of an unstructured domain of chicken prion protein. Molecular BioSystems. 5(5). 497–510. 12 indexed citations
18.
Rowińska‐Żyrek, Magdalena, Daniela Valensin, Łukasz Szyrwiel, Zbigniew Grzonka, & Henryk Kozłowski. (2009). Specific interactions of Bi(III) with the Cys-Xaa-Cys unit of a peptide sequence. Dalton Transactions. 9131–9131. 17 indexed citations
19.
Valensin, Daniela, et al.. (2009). Copper binding to chicken and human prion protein amylodogenic regions: Differences and similarities revealed by Ni2+ as a diamagnetic probe. Journal of Inorganic Biochemistry. 104(1). 71–78. 24 indexed citations
20.
Valensin, Daniela, et al.. (2008). Binding of Ni2+ and Cu2+ ions to peptides with a Cys–His motif. Dalton Transactions. 5323–5323. 21 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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