Angela Cesaro

800 total citations · 3 hit papers
19 papers, 487 citations indexed

About

Angela Cesaro is a scholar working on Molecular Biology, Microbiology and Molecular Medicine. According to data from OpenAlex, Angela Cesaro has authored 19 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Microbiology and 4 papers in Molecular Medicine. Recurrent topics in Angela Cesaro's work include Antimicrobial Peptides and Activities (14 papers), Biochemical and Structural Characterization (6 papers) and vaccines and immunoinformatics approaches (4 papers). Angela Cesaro is often cited by papers focused on Antimicrobial Peptides and Activities (14 papers), Biochemical and Structural Characterization (6 papers) and vaccines and immunoinformatics approaches (4 papers). Angela Cesaro collaborates with scholars based in United States, Italy and Netherlands. Angela Cesaro's co-authors include César de la Fuente‐Núñez, Robert E. W. Hancock, Marcelo D. T. Torres, Rosa Gaglione, Angela Arciello, Rocco Di Girolamo, Eliana Dell’Olmo, Norbert Pardi, Payel Das and Erin F. Brooks and has published in prestigious journals such as Cell, ACS Nano and Advanced Drug Delivery Reviews.

In The Last Decade

Angela Cesaro

18 papers receiving 479 citations

Hit Papers

Antibiotic failure: Beyond antimicrobial resistance 2023 2026 2024 2025 2023 2024 2025 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Angela Cesaro United States 13 278 219 58 52 44 19 487
Letao Bo United States 8 265 1.0× 240 1.1× 56 1.0× 65 1.3× 68 1.5× 15 559
Ruichen Wang China 5 254 0.9× 236 1.1× 41 0.7× 61 1.2× 56 1.3× 6 477
Rajesh Kuppusamy Australia 14 220 0.8× 222 1.0× 44 0.8× 207 4.0× 27 0.6× 44 520
Bimal Koirala United States 11 284 1.0× 121 0.6× 77 1.3× 54 1.0× 30 0.7× 15 480
Rosa Gaglione Italy 17 465 1.7× 284 1.3× 50 0.9× 82 1.6× 79 1.8× 45 729
Corrie R. Belanger Canada 6 141 0.5× 119 0.5× 78 1.3× 33 0.6× 16 0.4× 12 264
Luka Raguž Germany 9 256 0.9× 73 0.3× 97 1.7× 144 2.8× 88 2.0× 17 540
Marta Bauer Poland 16 361 1.3× 388 1.8× 28 0.5× 132 2.5× 41 0.9× 36 727
Meghan S. Blackledge United States 12 294 1.1× 85 0.4× 97 1.7× 69 1.3× 33 0.8× 19 477
Cenbin Lu Germany 6 446 1.6× 136 0.6× 207 3.6× 67 1.3× 47 1.1× 7 600

Countries citing papers authored by Angela Cesaro

Since Specialization
Citations

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

Fields of papers citing papers by Angela Cesaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Cesaro

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

All Works

19 of 19 papers shown
1.
Cesaro, Angela, et al.. (2025). Frog-derived synthetic peptides display anti-infective activity against Gram-negative pathogens. Trends in biotechnology. 43(7). 1642–1667. 2 indexed citations
2.
Cesaro, Angela, Fangping Wan, C. Mark Maupin, et al.. (2025). Antiviral discovery using sparse datasets by integrating experiments, molecular simulations, and machine learning. Cell Reports Physical Science. 6(5). 102554–102554.
3.
Cesaro, Angela, Samuel C. Hoffman, Payel Das, & César de la Fuente‐Núñez. (2025). Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance. PubMed. 3(1). 2–2. 33 indexed citations breakdown →
4.
Cesaro, Angela, et al.. (2025). Using synthetic biology to understand the gut-brain axis. Cell Reports Physical Science. 6(3). 102458–102458. 2 indexed citations
5.
Torres, Marcelo D. T., Angela Cesaro, & César de la Fuente‐Núñez. (2024). Peptides from non-immune proteins target infections through antimicrobial and immunomodulatory properties. Trends in biotechnology. 43(1). 184–205. 13 indexed citations
6.
Torres, Marcelo D. T., Erin F. Brooks, Angela Cesaro, et al.. (2024). Mining human microbiomes reveals an untapped source of peptide antibiotics. Cell. 187(19). 5453–5467.e15. 61 indexed citations breakdown →
7.
Cesaro, Angela, et al.. (2023). Advanced delivery systems for peptide antibiotics. Advanced Drug Delivery Reviews. 196. 114733–114733. 39 indexed citations
8.
Cesaro, Angela & César de la Fuente‐Núñez. (2023). Antibiotic identified by AI. Nature Chemical Biology. 19(11). 1296–1298. 12 indexed citations
9.
Fuente‐Núñez, César de la, Angela Cesaro, & Robert E. W. Hancock. (2023). Antibiotic failure: Beyond antimicrobial resistance. Drug Resistance Updates. 71. 101012–101012. 127 indexed citations breakdown →
10.
Cesaro, Angela, Mojtaba Bagheri, Marcelo D. T. Torres, Fangping Wan, & César de la Fuente‐Núñez. (2023). Deep learning tools to accelerate antibiotic discovery. Expert Opinion on Drug Discovery. 18(11). 1245–1257. 32 indexed citations
11.
Cesaro, Angela, Marcelo D. T. Torres, Rosa Gaglione, et al.. (2022). Synthetic Antibiotic Derived from Sequences Encrypted in a Protein from Human Plasma. ACS Nano. 16(2). 1880–1895. 36 indexed citations
12.
Cesaro, Angela, Marcelo D. T. Torres, & César de la Fuente‐Núñez. (2022). Methods for the design and characterization of peptide antibiotics. Methods in enzymology on CD-ROM/Methods in enzymology. 663. 303–326. 21 indexed citations
13.
Cesaro, Angela, Rosa Gaglione, Marco Chino, et al.. (2022). Novel Retro-Inverso Peptide Antibiotic Efficiently Released by a Responsive Hydrogel-Based System. Biomedicines. 10(6). 1301–1301. 6 indexed citations
14.
Gaglione, Rosa, Bartolomeo Della Ventura, Angela Cesaro, et al.. (2022). Loading of Polydimethylsiloxane with a Human ApoB-Derived Antimicrobial Peptide to Prevent Bacterial Infections. International Journal of Molecular Sciences. 23(9). 5219–5219. 6 indexed citations
15.
Dell’Olmo, Eliana, Rosa Gaglione, Mohammed Sabbah, et al.. (2021). Host defense peptides identified in human apolipoprotein B as novel food biopreservatives and active coating components. Food Microbiology. 99. 103804–103804. 16 indexed citations
16.
Dell’Olmo, Eliana, Rosa Gaglione, Angela Cesaro, et al.. (2021). Host defence peptides identified in human apolipoprotein B as promising antifungal agents. Applied Microbiology and Biotechnology. 105(5). 1953–1964. 14 indexed citations
17.
Gaglione, Rosa, Giovanni Smaldone, Angela Cesaro, et al.. (2021). Impact of a Single Point Mutation on the Antimicrobial and Fibrillogenic Properties of Cryptides from Human Apolipoprotein B. Pharmaceuticals. 14(7). 631–631. 14 indexed citations
18.
Gaglione, Rosa, Angela Cesaro, Eliana Dell’Olmo, et al.. (2020). Cryptides Identified in Human Apolipoprotein B as New Weapons to Fight Antibiotic Resistance in Cystic Fibrosis Disease. International Journal of Molecular Sciences. 21(6). 2049–2049. 23 indexed citations
19.
Gaglione, Rosa, Angela Cesaro, Eliana Dell’Olmo, et al.. (2019). Effects of human antimicrobial cryptides identified in apolipoprotein B depend on specific features of bacterial strains. Scientific Reports. 9(1). 6728–6728. 30 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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