Ivan de Paola

25 total papers · 488 total citations
22 papers, 428 citations indexed

About

Ivan de Paola is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy. According to data from OpenAlex, Ivan de Paola has authored 22 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Immunology and Allergy. Recurrent topics in Ivan de Paola's work include Chemical Synthesis and Analysis (6 papers), Cell Adhesion Molecules Research (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Ivan de Paola is often cited by papers focused on Chemical Synthesis and Analysis (6 papers), Cell Adhesion Molecules Research (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Ivan de Paola collaborates with scholars based in Italy, United States and Russia. Ivan de Paola's co-authors include Laura Zaccaro, Annarita Del Gatto, L. Russo, Michele Saviano, Gaetano Malgieri, Maddalena Palmieri, Sonia Di Gaetano, Roberto Fattorusso, Paolo V. Pedone and Carla Isernia and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Scientific Reports.

In The Last Decade

Ivan de Paola

22 papers receiving 424 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ivan de Paola 283 61 60 57 45 22 428
James E. Rowedder 297 1.0× 39 0.6× 43 0.7× 32 0.6× 57 1.3× 19 457
Wanessa Fernanda Altei 291 1.0× 24 0.4× 64 1.1× 53 0.9× 67 1.5× 27 481
Anat Shahar 264 0.9× 40 0.7× 34 0.6× 74 1.3× 8 0.2× 24 390
Johanne Le Coq 262 0.9× 68 1.1× 38 0.6× 47 0.8× 63 1.4× 14 415
Eva Hrabárová 280 1.0× 51 0.8× 69 1.1× 19 0.3× 8 0.2× 29 474
Lennart Kågedal 200 0.7× 38 0.6× 27 0.5× 18 0.3× 16 0.4× 12 415
Masanori Noda 331 1.2× 131 2.1× 16 0.3× 48 0.8× 21 0.5× 20 456
Megumi Kosaka 336 1.2× 41 0.7× 21 0.3× 53 0.9× 15 0.3× 30 477
Makoto Nakabayashi 170 0.6× 65 1.1× 61 1.0× 20 0.4× 14 0.3× 22 494
Nilantha Bandara 106 0.4× 123 2.0× 40 0.7× 79 1.4× 8 0.2× 21 446

Countries citing papers authored by Ivan de Paola

Since Specialization
Citations

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

Fields of papers citing papers by Ivan de Paola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan de Paola. 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 Ivan de Paola. The network helps show where Ivan de Paola may publish in the future.

Co-authorship network of co-authors of Ivan de Paola

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

All Works

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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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