Antonio Macchiarulo

9.1k total citations · 1 hit paper
173 papers, 6.4k citations indexed

About

Antonio Macchiarulo is a scholar working on Molecular Biology, Oncology and Spectroscopy. According to data from OpenAlex, Antonio Macchiarulo has authored 173 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 53 papers in Oncology and 31 papers in Spectroscopy. Recurrent topics in Antonio Macchiarulo's work include Drug Transport and Resistance Mechanisms (24 papers), Tryptophan and brain disorders (24 papers) and Analytical Chemistry and Chromatography (23 papers). Antonio Macchiarulo is often cited by papers focused on Drug Transport and Resistance Mechanisms (24 papers), Tryptophan and brain disorders (24 papers) and Analytical Chemistry and Chromatography (23 papers). Antonio Macchiarulo collaborates with scholars based in Italy, United States and Spain. Antonio Macchiarulo's co-authors include Roberto Pellicciari, Antimo Gioiello, Johan Auwerx, Kristina Schoonjans, Gabriele Costantino, Charles Thomas, Emidio Camaioni, Mark Pruzanski, Giovanni Rizzo and Chikage Mataki and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Antonio Macchiarulo

169 papers receiving 6.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TGR5-Mediated Bile Acid Sensing Controls Glucose Homeostasis

2009 1.4k citations Charles Thomas, Antimo Gioiello et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antonio Macchiarulo Italy	36	2.7k	2.3k	968	800	708	173	6.4k
Antimo Gioiello Italy	33	2.1k 0.8×	2.3k 1.0×	1.3k 1.4×	704 0.9×	814 1.1×	112	5.4k
Barbara Renga Italy	48	2.1k 0.8×	2.4k 1.1×	1.7k 1.7×	246 0.3×	920 1.3×	108	7.0k
Cecília M. P. Rodrigues Portugal	60	5.9k 2.2×	2.8k 1.2×	1.4k 1.4×	561 0.7×	1.5k 2.1×	260	11.9k
John R. Cashman United States	52	3.6k 1.3×	1.2k 0.5×	388 0.4×	937 1.2×	908 1.3×	201	9.2k
Roberto Pellicciari Italy	53	4.9k 1.8×	5.1k 2.2×	2.6k 2.7×	1.8k 2.3×	1.3k 1.9×	256	13.6k
Neil R. Kitteringham United Kingdom	47	3.1k 1.2×	937 0.4×	448 0.5×	623 0.8×	504 0.7×	92	7.3k
Dieter Steinhilber Germany	49	3.9k 1.4×	984 0.4×	394 0.4×	1.6k 2.0×	1.3k 1.8×	296	9.6k
Yong‐Yeon Cho South Korea	54	5.1k 1.9×	1.5k 0.6×	484 0.5×	358 0.4×	599 0.8×	268	8.6k
Michael V. Milburn United States	40	7.5k 2.8×	776 0.3×	480 0.5×	466 0.6×	1.8k 2.5×	56	9.9k
Jack Uetrecht Canada	53	1.7k 0.6×	1.4k 0.6×	198 0.2×	574 0.7×	690 1.0×	199	8.8k

Countries citing papers authored by Antonio Macchiarulo

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Macchiarulo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Macchiarulo

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

All Works

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20 of 20 papers shown

Coletti, Alice, Sofia Rossini, Alessandra Altomare, et al.. (2025). Ligand-induced conformations and dynamic allosteric motions of IDO1 affecting the recruitment of a protein signaling partner. Communications Chemistry. 8(1). 277–277.

Bartolini, Desirée, Antonio Macchiarulo, Francesco Galli, et al.. (2024). Natural cellulosic biofunctional textiles from onion (Allium cepa L.) skin extracts: A sustainable strategy for skin protection. Industrial Crops and Products. 212. 118295–118295. 8 indexed citations

Cerofolini, Linda, Giulia Cappelli, Enrico Ravera, et al.. (2023). Combining Solid‐State NMR with Structural and Biophysical Techniques to Design Challenging Protein‐Drug Conjugates. Angewandte Chemie International Edition. 62(31). e202303202–e202303202.

Carotti, Andrea, Sonia Moretti, Bruno Cerra, et al.. (2023). Turning a Tumor Microenvironment Pitfall into Opportunity: Discovery of Benzamidoxime as PD-L1 Ligand with pH-Dependent Potency. International Journal of Molecular Sciences. 24(6). 5535–5535. 2 indexed citations

Gidari, Anna, Samuele Sabbatini, Elisabetta Schiaroli, et al.. (2023). The hope and hype of ellagic acid and urolithins as ligands of SARS-CoV-2 Nsp5 and inhibitors of viral replication. Journal of Enzyme Inhibition and Medicinal Chemistry. 38(1). 2251721–2251721. 8 indexed citations

Carotti, Andrea, Lina Cossignani, A. Taticchi, et al.. (2022). Environmentally Sustainable Achiral and Chiral Chromatographic Analysis of Amino Acids in Food Supplements. Molecules. 27(22). 7724–7724. 8 indexed citations

Mariotto, Elena, Francisco José Aguilar Troyano, Emilio Parisini, et al.. (2022). Biological Evaluation of New Thienopyridinium and Thienopyrimidinium Derivatives as Human Choline Kinase Inhibitors. Pharmaceutics. 14(4). 715–715. 5 indexed citations

Desantis, Jenny, et al.. (2022). PROTACs bearing piperazine-containing linkers: what effect on their protonation state?. RSC Advances. 12(34). 21968–21977. 23 indexed citations

Pollini, Luna, Cristina Juan, Federica Ianni, et al.. (2020). Phenolic Acids from Lycium barbarum Leaves: In Vitro and In Silico Studies of the Inhibitory Activity against Porcine Pancreatic α-Amylase. Processes. 8(11). 1388–1388. 17 indexed citations

10.

Schoubben, Aurélie, Riccardo Vivani, Marco Paolantoni, et al.. (2019). D-leucine microparticles as an excipient to improve the aerosolization performances of dry powders for inhalation. European Journal of Pharmaceutical Sciences. 130. 54–64. 13 indexed citations

11.

Sardella, Roccaldo, Antonio Macchiarulo, Federica Ianni, et al.. (2017). Exploring the enantiorecognition mechanism of Cinchona alkaloid‐based zwitterionic chiral stationary phases and the basic trans‐paroxetine enantiomers. Journal of Separation Science. 41(6). 1199–1207. 19 indexed citations

12.

Bishop‐Bailey, David, et al.. (2016). Computational modelling of the binding of arachidonic acid to the human monooxygenase CYP2J2. Journal of Molecular Modeling. 22(11). 279–279. 11 indexed citations

13.

Banoğlu, Erden, Abdurrahman Olğaç, Jana Gerstmeier, et al.. (2016). 4,5-Diarylisoxazol-3-carboxylic acids: A new class of leukotriene biosynthesis inhibitors potentially targeting 5-lipoxygenase-activating protein (FLAP). European Journal of Medicinal Chemistry. 113. 1–10. 48 indexed citations

14.

Lazzarini, Andrea, Antonio Macchiarulo, A. Floridi, et al.. (2015). Very-long-chain fatty acid sphingomyelin in nuclear lipid microdomains of hepatocytes and hepatoma cells: can the exchange from C24:0 to C16:0 affect signal proteins and vitamin D receptor?. Molecular Biology of the Cell. 26(13). 2418–2425. 29 indexed citations

15.

Nuti, Roberto, Marco Gargaro, Davide Matino, et al.. (2014). Ligand Binding and Functional Selectivity of l-Tryptophan Metabolites at the Mouse Aryl Hydrocarbon Receptor (mAhR). Journal of Chemical Information and Modeling. 54(12). 3373–3383. 34 indexed citations

16.

Gioiello, Antimo, Emiliano Rosatelli, Roberto Nuti, Antonio Macchiarulo, & Roberto Pellicciari. (2012). Patented TGR5 modulators: a review (2006 – present). Expert Opinion on Therapeutic Patents. 22(12). 1399–1414. 45 indexed citations

17.

Carotti, Andrea, Antonio Macchiarulo, Nicola Giacchè, & Roberto Pellicciari. (2009). Targeting the conformational transitions of MDM2 and MDMX: Insights into key residues affecting p53 recognition. Proteins Structure Function and Bioinformatics. 77(3). 524–535. 11 indexed citations

18.

Thomas, Charles, Antimo Gioiello, Lilia G. Noriega, et al.. (2009). TGR5-Mediated Bile Acid Sensing Controls Glucose Homeostasis. Cell Metabolism. 10(3). 167–177. 1439 indexed citations breakdown →

19.

Ferrari, Cristina, Antonio Macchiarulo, Gabriele Costantino, & Roberto Pellicciari. (2006). Pharmacophore model for bile acids recognition by the FPR receptor. Journal of Computer-Aided Molecular Design. 20(5). 295–303. 25 indexed citations

20.

Luca, Laura De, Antonio Macchiarulo, Gabriele Costantino, et al.. (2003). Binding modes of noncompetitive AMPA antagonists: a computational approach. Il Farmaco. 58(2). 107–113. 9 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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