Angela Lombardi

6.2k total citations
161 papers, 5.0k citations indexed

About

Angela Lombardi is a scholar working on Molecular Biology, Inorganic Chemistry and Materials Chemistry. According to data from OpenAlex, Angela Lombardi has authored 161 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 42 papers in Inorganic Chemistry and 42 papers in Materials Chemistry. Recurrent topics in Angela Lombardi's work include Chemical Synthesis and Analysis (42 papers), Metal-Catalyzed Oxygenation Mechanisms (38 papers) and Porphyrin and Phthalocyanine Chemistry (19 papers). Angela Lombardi is often cited by papers focused on Chemical Synthesis and Analysis (42 papers), Metal-Catalyzed Oxygenation Mechanisms (38 papers) and Porphyrin and Phthalocyanine Chemistry (19 papers). Angela Lombardi collaborates with scholars based in Italy, United States and Japan. Angela Lombardi's co-authors include Flavia Nastri, William F. DeGrado, Vincenzo Pavone, Ornella Maglio, Vincenzo Pavone, Christopher M. Summa, Marco Chino, Carlo Pedone, Michele Saviano and Linda Leone and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Angela Lombardi

156 papers receiving 4.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela Lombardi Italy 38 3.3k 1.3k 1.0k 1.0k 684 161 5.0k
Flavia Nastri Italy 29 1.9k 0.6× 807 0.6× 637 0.6× 687 0.7× 403 0.6× 89 3.0k
Peter F. Knowles United Kingdom 42 4.3k 1.3× 776 0.6× 942 0.9× 1.4k 1.4× 337 0.5× 120 6.7k
Richard W. Strange United Kingdom 40 2.0k 0.6× 1.1k 0.9× 364 0.4× 1.1k 1.1× 561 0.8× 115 4.6k
Vincenzo Pavone Italy 27 1.8k 0.6× 808 0.6× 679 0.7× 478 0.5× 280 0.4× 74 2.8k
Gérard Roelfes Netherlands 49 4.1k 1.3× 1.2k 0.9× 3.5k 3.5× 2.1k 2.1× 559 0.8× 142 7.5k
Brian R. Gibney United States 33 1.9k 0.6× 864 0.7× 290 0.3× 795 0.8× 579 0.8× 68 3.2k
Nenad M. Kostić United States 44 2.2k 0.7× 970 0.7× 1.6k 1.5× 957 1.0× 225 0.3× 114 4.5k
Fumito Tani Japan 38 1.0k 0.3× 2.1k 1.6× 1.6k 1.5× 1.6k 1.6× 484 0.7× 192 4.7k
Yong Zhang United States 43 1.4k 0.4× 897 0.7× 2.8k 2.8× 1.2k 1.2× 331 0.5× 196 5.3k
Bernhard Spingler Switzerland 47 1.8k 0.5× 2.0k 1.6× 2.5k 2.5× 1.4k 1.4× 559 0.8× 222 7.2k

Countries citing papers authored by Angela Lombardi

Since Specialization
Citations

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

Fields of papers citing papers by Angela Lombardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Lombardi

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Lombardi. A scholar is included among the top collaborators of Angela Lombardi 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 Angela Lombardi. Angela Lombardi 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.
Ramesh, K., et al.. (2025). Electrocatalytic CO2 reduction by a cobalt porphyrin mini-enzyme. Chemical Science. 16(13). 5707–5716. 5 indexed citations
2.
Chino, Marco, Antonio Rosato, Ornella Maglio, et al.. (2025). A bioinformatics approach to design minimal biomimetic metal-binding peptides. Communications Chemistry. 8(1). 296–296.
3.
Leone, Linda, Ondřej Vaněk, Marco Chino, et al.. (2025). Engineering a Functional Histidine Brace Copper-Binding Site into a De Novo -Designed Protein Scaffold. JACS Au. 5(10). 4799–4810. 1 indexed citations
4.
Sorino, Paolo, Caterina Bonfiglio, Rossella Donghia, et al.. (2025). MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjects. SHILAP Revista de lepidopterología. 7. 100176–100176.
5.
Fasano, Giancarmine, et al.. (2024). Explainable brain age prediction: a comparative evaluation of morphometric and deep learning pipelines. Brain Informatics. 11(1). 33–33. 2 indexed citations
6.
Leone, Linda, et al.. (2024). Biohybrid materials comprising an artificial peroxidase and differently shaped gold nanoparticles. Nanoscale Advances. 6(14). 3533–3542. 2 indexed citations
7.
Costanzo, Luigi Di, Maurizio Polentarutti, Linda Leone, et al.. (2024). Structural insights into temperature-dependent dynamics of METPsc1, a miniaturized electron-transfer protein. Journal of Inorganic Biochemistry. 264. 112810–112810. 2 indexed citations
8.
Chino, Marco, et al.. (2023). MetalHawk: Enhanced Classification of Metal Coordination Geometries by Artificial Neural Networks. Journal of Chemical Information and Modeling. 64(7). 2356–2367. 4 indexed citations
9.
Bellavita, Rosa, Linda Leone, Angela Maione, et al.. (2023). Synthesis of temporin L hydroxamate-based peptides and evaluation of their coordination properties with iron(iii ). Dalton Transactions. 52(13). 3954–3963. 6 indexed citations
10.
11.
Schmidt, Nathan W., Nicholas F. Polizzi, Lijun Liu, et al.. (2020). Allosteric cooperation in a de novo-designed two-domain protein. Proceedings of the National Academy of Sciences. 117(52). 33246–33253. 38 indexed citations
12.
Lombardi, Angela, et al.. (2019). De Novo Design of Four-Helix Bundle Metalloproteins: One Scaffold, Diverse Reactivities. Accounts of Chemical Research. 52(5). 1148–1159. 112 indexed citations
13.
Caserta, Giorgio, Marco Chino, Gerardo Zambrano, et al.. (2018). Enhancement of Peroxidase Activity in Artificial Mimochrome VI Catalysts through Rational Design. ChemBioChem. 19(17). 1823–1826. 38 indexed citations
14.
Raucci, Umberto, et al.. (2018). Unveiling the structure of a novel artificial heme‐enzyme with peroxidase‐like activity: A theoretical investigation. Biopolymers. 109(10). e23225–e23225. 17 indexed citations
15.
Chino, Marco, Shaoqing Zhang, Linda Leone, et al.. (2018). Spectroscopic and metal binding properties of a de novo metalloprotein binding a tetrazinc cluster. Biopolymers. 109(10). e23339–e23339. 15 indexed citations
16.
Zhang, Shaoqing, Marco Chino, Lijun Liu, et al.. (2017). De NovoDesign of Tetranuclear Transition Metal Clusters Stabilized by Hydrogen-Bonded Networks in Helical Bundles. Journal of the American Chemical Society. 140(4). 1294–1304. 33 indexed citations
17.
Nastri, Flavia, Liliana Lista, Rosa Maria Vitale, et al.. (2011). A Heme–Peptide Metalloenzyme Mimetic with Natural Peroxidase‐Like Activity. Chemistry - A European Journal. 17(16). 4444–4453. 61 indexed citations
18.
Pavone, Vincenzo, Angela Lombardi, Carlo Alberto Maggi, Laura Quartara, & Carlo Pedone. (1995). Conformational rigidity versus flexibility in a novel peptidic neurokinin A receptor antagonist. Journal of Peptide Science. 1(4). 236–240. 19 indexed citations
19.
20.
Blasio, Benedetto Di, Angela Lombardi, Xiaoli Yang, Carlo Pedone, & Vincenzo Pavone. (1991). β‐Alanyl‐β‐alanine in cyclic β‐turned peptides. Biopolymers. 31(10). 1181–1188. 27 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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