M. Sacco

2.4k total citations · 1 hit paper
18 papers, 1.5k citations indexed

About

M. Sacco is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, M. Sacco has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 7 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in M. Sacco's work include SARS-CoV-2 and COVID-19 Research (7 papers), Computational Drug Discovery Methods (7 papers) and Bacterial Genetics and Biotechnology (5 papers). M. Sacco is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), Computational Drug Discovery Methods (7 papers) and Bacterial Genetics and Biotechnology (5 papers). M. Sacco collaborates with scholars based in United States, Greece and Denmark. M. Sacco's co-authors include Yu Chen, Jun Wang, Yanmei Hu, Chunlong Ma, Julia A. Townsend, Michael T. Marty, Xiujun Zhang, Tommy Szeto, E. Bart Tarbet and Brett L. Hurst and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Scientific Reports.

In The Last Decade

M. Sacco

17 papers receiving 1.5k citations

Hit Papers

Boceprevir, GC-376, and calpain inhibitors II, XII inhibi... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Sacco United States 12 915 907 461 321 93 18 1.5k
Katharina Rox Germany 14 1.3k 1.5× 1.4k 1.6× 1.1k 2.4× 585 1.8× 97 1.0× 36 2.8k
Muhammad Usman Mirza Pakistan 24 532 0.6× 621 0.7× 825 1.8× 251 0.8× 195 2.1× 52 1.9k
Julia A. Townsend United States 11 939 1.0× 953 1.1× 528 1.1× 353 1.1× 78 0.8× 18 1.6k
R. Jedrzejczak United States 24 699 0.8× 455 0.5× 1.3k 2.7× 188 0.6× 133 1.4× 62 2.5k
Reaz Uddin Pakistan 23 393 0.4× 440 0.5× 906 2.0× 638 2.0× 152 1.6× 88 2.0k
Keqiang Fan China 27 575 0.6× 389 0.4× 1.2k 2.5× 327 1.0× 64 0.7× 62 2.0k
Peter B. Madrid United States 26 740 0.8× 304 0.3× 659 1.4× 474 1.5× 282 3.0× 47 1.9k
Xinyuanyuan Sun Germany 8 1.4k 1.6× 1.5k 1.7× 918 2.0× 545 1.7× 84 0.9× 11 2.6k
Priyanka Sharma India 23 257 0.3× 327 0.4× 536 1.2× 232 0.7× 62 0.7× 97 1.5k

Countries citing papers authored by M. Sacco

Since Specialization
Citations

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

Fields of papers citing papers by M. Sacco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Sacco

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

All Works

18 of 18 papers shown
1.
Sacco, M., Jesper J. Madsen, Xiujun Zhang, et al.. (2024). Staphylococcus aureus FtsZ and PBP4 bind to the conformationally dynamic N-terminal domain of GpsB. eLife. 13. 5 indexed citations
2.
Tan, Bin, M. Sacco, Haozhou Tan, et al.. (2023). Exploring diverse reactive warheads for the design of SARS-CoV-2 main protease inhibitors. European Journal of Medicinal Chemistry. 259. 115667–115667. 18 indexed citations
3.
Wang, Lei, Chunlong Ma, M. Sacco, et al.. (2023). Development of the Safe and Broad‐Spectrum Aldehyde and Ketoamide Mpro inhibitors Derived from the Constrained α, γ‐AA Peptide Scaffold. Chemistry - A European Journal. 29(35). e202300476–e202300476. 2 indexed citations
4.
Sacco, M., et al.. (2022). GpsB Coordinates Cell Division and Cell Surface Decoration by Wall Teichoic Acids in Staphylococcus aureus. Microbiology Spectrum. 10(3). e0141322–e0141322. 18 indexed citations
5.
Sacco, M., Shaohui Wang, Swamy R. Adapa, et al.. (2022). A unique class of Zn2+-binding serine-based PBPs underlies cephalosporin resistance and sporogenesis in Clostridioides difficile. Nature Communications. 13(1). 4370–4370. 19 indexed citations
6.
Sacco, M., Xiujun Zhang, William F. Lawless, et al.. (2022). Structure-Based Ligand Design Targeting Pseudomonas aeruginosa LpxA in Lipid A Biosynthesis. ACS Infectious Diseases. 8(7). 1231–1240. 3 indexed citations
7.
Kitamura, Naoya, M. Sacco, Chunlong Ma, et al.. (2021). Expedited Approach toward the Rational Design of Noncovalent SARS-CoV-2 Main Protease Inhibitors. Journal of Medicinal Chemistry. 65(4). 2848–2865. 112 indexed citations
8.
Ma, Chunlong, Zilei Xia, M. Sacco, et al.. (2021). Discovery of Di- and Trihaloacetamides as Covalent SARS-CoV-2 Main Protease Inhibitors with High Target Specificity. Journal of the American Chemical Society. 143(49). 20697–20709. 106 indexed citations
9.
Ma, Chunlong, M. Sacco, Zilei Xia, et al.. (2021). Discovery of SARS-CoV-2 Papain-like Protease Inhibitors through a Combination of High-Throughput Screening and a FlipGFP-Based Reporter Assay. ACS Central Science. 7(7). 1245–1260. 143 indexed citations
10.
Xia, Zilei, M. Sacco, Yanmei Hu, et al.. (2021). Rational Design of Hybrid SARS-CoV-2 Main Protease Inhibitors Guided by the Superimposed Cocrystal Structures with the Peptidomimetic Inhibitors GC-376, Telaprevir, and Boceprevir. ACS Pharmacology & Translational Science. 4(4). 1408–1421. 63 indexed citations
11.
Sacco, M., Chunlong Ma, Panagiotis Lagarias, et al.. (2020). Structure and inhibition of the SARS-CoV-2 main protease reveal strategy for developing dual inhibitors against M pro and cathepsin L. Science Advances. 6(50). 284 indexed citations
12.
Brzozowski, Robert, et al.. (2020). Interdependent YpsA- and YfhS-Mediated Cell Division and Cell Size Phenotypes in Bacillus subtilis. mSphere. 5(4). 6 indexed citations
13.
Ma, Chunlong, M. Sacco, Brett L. Hurst, et al.. (2020). Boceprevir, GC-376, and calpain inhibitors II, XII inhibit SARS-CoV-2 viral replication by targeting the viral main protease. Cell Research. 30(8). 678–692. 616 indexed citations breakdown →
14.
Shapiro, Adam B., Janelle Comita-Prevoir, Jing Zhang, et al.. (2020). N-Hydroxyformamide LpxC inhibitors, their in vivo efficacy in a mouse Escherichia coli infection model, and their safety in a rat hemodynamic assay. Bioorganic & Medicinal Chemistry. 28(24). 115826–115826. 16 indexed citations
15.
Durand-Réville, Thomas F., Janelle Comita-Prevoir, Jing Zhang, et al.. (2020). Discovery of an Orally Available Diazabicyclooctane Inhibitor (ETX0282) of Class A, C, and D Serine β-Lactamases. Journal of Medicinal Chemistry. 63(21). 12511–12525. 49 indexed citations
16.
Sacco, M., Xiujun Zhang, Sophie E. Darch, et al.. (2019). Discovery of dual-activity small-molecule ligands of Pseudomonas aeruginosa LpxA and LpxD using SPR and X-ray crystallography. Scientific Reports. 9(1). 15450–15450. 23 indexed citations
17.
Sacco, M., et al.. (2019). Influence of the α-Methoxy Group on the Reaction of Temocillin with Pseudomonas aeruginosa PBP3 and CTX-M-14 β-Lactamase. Antimicrobial Agents and Chemotherapy. 64(1). 8 indexed citations
18.
Lollike, Karsten, et al.. (2017). Patient Drug Safety Reporting: Diabetes Patients’ Perceptions of Drug Safety and How to Improve Reporting of Adverse Events and Product Complaints. Therapeutic Innovation & Regulatory Science. 52(2). 236–243.

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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