Francesco Costacurta

436 total citations · 1 hit paper
8 papers, 198 citations indexed

About

Francesco Costacurta is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Francesco Costacurta has authored 8 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Francesco Costacurta's work include SARS-CoV-2 and COVID-19 Research (6 papers), Computational Drug Discovery Methods (3 papers) and vaccines and immunoinformatics approaches (2 papers). Francesco Costacurta is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Computational Drug Discovery Methods (3 papers) and vaccines and immunoinformatics approaches (2 papers). Francesco Costacurta collaborates with scholars based in Austria, United States and Saudi Arabia. Francesco Costacurta's co-authors include Emmanuel Heilmann, Dorotheé von Laer, Reuben S. Harris, Luis Martínez‐Sobrido, Seyed Arad Moghadasi, Chengjin Ye, André Volland, Bernhard Rupp, Fiona L. Kearns and David Bante and has published in prestigious journals such as SHILAP Revista de lepidopterología, Science Advances and Science Translational Medicine.

In The Last Decade

Francesco Costacurta

8 papers receiving 197 citations

Hit Papers

Transmissible SARS-CoV-2 variants with resistance to clin... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francesco Costacurta Austria 5 153 81 62 18 17 8 198
Emmanuel Heilmann Austria 8 168 1.1× 84 1.0× 77 1.2× 29 1.6× 18 1.1× 11 237
Line A. Ryberg Denmark 7 179 1.2× 67 0.8× 106 1.7× 19 1.1× 14 0.8× 10 287
Maria I. Luck United States 3 230 1.5× 101 1.2× 89 1.4× 25 1.4× 20 1.2× 4 300
Adrien Delpal France 6 141 0.9× 44 0.5× 74 1.2× 28 1.6× 17 1.0× 11 216
Lian Jacobs United States 4 148 1.0× 72 0.9× 69 1.1× 12 0.7× 32 1.9× 6 217
Ryan T. Morgan United States 4 155 1.0× 70 0.9× 67 1.1× 12 0.7× 20 1.2× 4 205
Karen Anbro Gammeltoft Denmark 6 186 1.2× 97 1.2× 69 1.1× 19 1.1× 27 1.6× 9 281
Weizhu Yan China 5 145 0.9× 49 0.6× 125 2.0× 18 1.0× 20 1.2× 10 246
Alekxander Binderup Denmark 5 148 1.0× 60 0.7× 44 0.7× 14 0.8× 6 0.4× 7 175
Mohamed Mahdi Hungary 7 124 0.8× 76 0.9× 96 1.5× 18 1.0× 28 1.6× 26 264

Countries citing papers authored by Francesco Costacurta

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Costacurta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Costacurta

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

All Works

8 of 8 papers shown
1.
Costacurta, Francesco, David Bante, Xi He, et al.. (2024). Highly specific SARS-CoV-2 main protease (Mpro) mutations against the clinical antiviral ensitrelvir selected in a safe, VSV-based system. Antiviral Research. 231. 105969–105969. 7 indexed citations
2.
Costacurta, Francesco, et al.. (2024). Using Vesicular Stomatitis Virus as a Platform for Directed Protease Evolution. Current Protocols. 4(12). e70074–e70074. 1 indexed citations
3.
Bante, David, Andreas Naschberger, Francesco Costacurta, et al.. (2024). Study of key residues in MERS-CoV and SARS-CoV-2 main proteases for resistance against clinically applied inhibitors nirmatrelvir and ensitrelvir. SHILAP Revista de lepidopterología. 2(1). 23–23. 9 indexed citations
4.
Costacurta, Francesco, et al.. (2024). Vesicular Stomatitis Virus as a Platform for Protease Activity Measurements. Current Protocols. 4(11). e70062–e70062. 1 indexed citations
5.
Bante, David, Francesco Costacurta, Seyed Arad Moghadasi, et al.. (2024). Highly Specific Sars-Cov-2 Main Protease (Mpro) Mutations Against the Clinical Antiviral Ensitrelvir Selected in a Safe, Vsv-Based System. SSRN Electronic Journal. 1 indexed citations
6.
Moghadasi, Seyed Arad, Emmanuel Heilmann, Ahmed Magdy Khalil, et al.. (2023). Transmissible SARS-CoV-2 variants with resistance to clinical protease inhibitors. Science Advances. 9(13). eade8778–eade8778. 94 indexed citations breakdown →
7.
Heilmann, Emmanuel, Francesco Costacurta, Seyed Arad Moghadasi, et al.. (2022). SARS-CoV-2 3CL pro mutations selected in a VSV-based system confer resistance to nirmatrelvir, ensitrelvir, and GC376. Science Translational Medicine. 15(678). eabq7360–eabq7360. 69 indexed citations
8.
Heilmann, Emmanuel, Francesco Costacurta, Stephan Geley, et al.. (2022). A VSV-based assay quantifies coronavirus Mpro/3CLpro/Nsp5 main protease activity and chemical inhibition. Communications Biology. 5(1). 391–391. 16 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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