Luigi D’Ascenzo

520 total citations
15 papers, 348 citations indexed

About

Luigi D’Ascenzo is a scholar working on Molecular Biology, Physical and Theoretical Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Luigi D’Ascenzo has authored 15 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Physical and Theoretical Chemistry and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Luigi D’Ascenzo's work include RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (7 papers) and DNA and Nucleic Acid Chemistry (7 papers). Luigi D’Ascenzo is often cited by papers focused on RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (7 papers) and DNA and Nucleic Acid Chemistry (7 papers). Luigi D’Ascenzo collaborates with scholars based in France, United States and Poland. Luigi D’Ascenzo's co-authors include Pascal Auffinger, Filip Leonarski, Quentin Vicens, Eric Ennifar, Holger Kruse, Jiřı́ Šponer, A.M. Popova, James R. Williamson, Patrick A. Limbach and Ryan Cook and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Luigi D’Ascenzo

15 papers receiving 344 citations

Peers

Countries citing papers authored by Luigi D’Ascenzo

Since Specialization

Citations

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

Fields of papers citing papers by Luigi D’Ascenzo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luigi D’Ascenzo. 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 Luigi D’Ascenzo. The network helps show where Luigi D’Ascenzo may publish in the future.

Co-authorship network of co-authors of Luigi D’Ascenzo

This figure shows the co-authorship network connecting the top 25 collaborators of Luigi D’Ascenzo. A scholar is included among the top collaborators of Luigi D’Ascenzo 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 Luigi D’Ascenzo. Luigi D’Ascenzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Structure- and machine learning-guided engineering demonstrate that a non-canonical disulfide in an anti-PD-1 rabbit antibody does not impede antibody developability 2024 ·mAbs ·Wei‐Ching Liang, Hongkang Xi, Dawei Sun, Luigi D’Ascenzo, (unknown), (unknown), Ryan Cook, (unknown), Zhengmao Ye, M Matsumoto, Jian Payandeh, Matthieu Masureel, Yan Wu	1
2	Pytheas: a software package for the automated analysis of RNA sequences and modifications via tandem mass spectrometry 2022 ·Nature Communications ·Luigi D’Ascenzo, A.M. Popova, (unknown), (unknown), Patrick A. Limbach, James R. Williamson	22
3	Deflating the RNA Mg ²⁺ bubble: stereochemistry to the rescue! 2020 ·RNA ·Pascal Auffinger, Eric Ennifar, Luigi D’Ascenzo	19
4	Short but Weak: The Z‐DNA Lone‐Pair⋅⋅⋅π Conundrum Challenges Standard Carbon Van der Waals Radii 2020 ·Angewandte Chemie ·Holger Kruse, (unknown), Luigi D’Ascenzo, Jiřı́ Šponer, Pascal Auffinger	1
5	Short but Weak: The Z‐DNA Lone‐Pair⋅⋅⋅π Conundrum Challenges Standard Carbon Van der Waals Radii 2020 ·Angewandte Chemie International Edition ·Holger Kruse, (unknown), Luigi D’Ascenzo, Jiřı́ Šponer, Pascal Auffinger	23
6	Pytheas: A Software to Map RNA Modifications via Tandem Mass Spectrometry 2019 ·Biophysical Journal ·Luigi D’Ascenzo, A.M. Popova, James R. Williamson	2
7	Identification of receptors for UNCG and GNRA Z-turns and their occurrence in rRNA 2018 ·Nucleic Acids Research ·Luigi D’Ascenzo, Quentin Vicens, Pascal Auffinger	11
8	Revisiting GNRA and UNCG folds: U-turns versus Z-turns in RNA hairpin loops 2016 ·RNA ·Luigi D’Ascenzo, Filip Leonarski, Quentin Vicens, Pascal Auffinger	32
9	‘Z-DNA like’ fragments in RNA: a recurring structural motif with implications for folding, RNA/protein recognition and immune response 2016 ·Nucleic Acids Research ·Luigi D’Ascenzo, Filip Leonarski, Quentin Vicens, Pascal Auffinger	37
10	Sodium and Potassium Interactions with Nucleic Acids 2016 ·PubMed ·Pascal Auffinger, Luigi D’Ascenzo, Eric Ennifar	33
11	Mg²⁺ions: do they bind to nucleobase nitrogens? 2016 ·Nucleic Acids Research ·Filip Leonarski, Luigi D’Ascenzo, Pascal Auffinger	77
12	Binding of metals to purine N7 nitrogen atoms and implications for nucleic acids: A CSD survey 2016 ·Inorganica Chimica Acta ·Filip Leonarski, Luigi D’Ascenzo, Pascal Auffinger	22
13	A comprehensive classification and nomenclature of carboxyl–carboxyl(ate) supramolecular motifs and related catemers: implications for biomolecular systems 2015 ·Acta Crystallographica Section B Structural Science Crystal Engineering and Materials ·Luigi D’Ascenzo, Pascal Auffinger	59
14	105 Stabilization effects induced by modified nucleotides in tRNA T-loop motifs 2015 ·Journal of Biomolecular Structure and Dynamics ·Dominique Sydow, Filip Leonarski, Luigi D’Ascenzo, Pascal Auffinger	1
15	Anions in Nucleic Acid Crystallography 2015 ·Methods in molecular biology ·Luigi D’Ascenzo, Pascal Auffinger	8

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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