Angelo Pugliese

23 papers and 1.0k indexed citations i.

About

Angelo Pugliese is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Angelo Pugliese has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Pharmacology. Recurrent topics in Angelo Pugliese’s work include Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (3 papers) and Melanoma and MAPK Pathways (3 papers). Angelo Pugliese is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (3 papers) and Melanoma and MAPK Pathways (3 papers). Angelo Pugliese collaborates with scholars based in United States, United Kingdom and South Korea. Angelo Pugliese's co-authors include Zigang Dong, Ann M. Bode, Yong‐Yeon Cho, Marc C. Nicklaus, Markus Sitzmann, Chul‐Ho Jeong, Chenzhong Liao, Jung‐Hyun Shim, Ke Yao and Ki Won Lee and has published in prestigious journals such as Journal of Biological Chemistry, Cancer Research and Biophysical Journal.

In The Last Decade

Co-authorship network of co-authors of Angelo Pugliese i

Fields of papers citing papers by Angelo Pugliese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Angelo Pugliese

Since Specialization
Citations

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

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