Candida Manelfi

19 papers and 247 indexed citations i.

About

Candida Manelfi is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Candida Manelfi has authored 19 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 7 papers in Infectious Diseases. Recurrent topics in Candida Manelfi’s work include Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Machine Learning in Materials Science (3 papers). Candida Manelfi is often cited by papers focused on Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Machine Learning in Materials Science (3 papers). Candida Manelfi collaborates with scholars based in Italy, Germany and Poland. Candida Manelfi's co-authors include Andrea R. Beccari, Carmine Talarico, Carmen Cerchia, Giulio Vistoli, Silvia Gervasoni, Alessandro Pedretti, Erik Lindahl, Marica Gemei, Francesco Frigerio and Andrea Zaliani and has published in prestigious journals such as Bioinformatics, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Candida Manelfi i

Fields of papers citing papers by Candida Manelfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Candida Manelfi

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025