Paolo Campi

64 total papers · 3.9k total citations
37 papers, 1.7k citations indexed

About

Paolo Campi is a scholar working on Pharmacology, Immunology and Allergy and Immunology. According to data from OpenAlex, Paolo Campi has authored 37 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pharmacology, 18 papers in Immunology and Allergy and 11 papers in Immunology. Recurrent topics in Paolo Campi's work include Drug-Induced Adverse Reactions (15 papers), Food Allergy and Anaphylaxis Research (14 papers) and Asthma and respiratory diseases (10 papers). Paolo Campi is often cited by papers focused on Drug-Induced Adverse Reactions (15 papers), Food Allergy and Anaphylaxis Research (14 papers) and Asthma and respiratory diseases (10 papers). Paolo Campi collaborates with scholars based in Italy, Switzerland and Spain. Paolo Campi's co-authors include Werner J. Pichler, Pascal Demoly, Antonino Romano, Werner Aberer, Andreas J. Bircher, Knut Brockow, M. Blanca, Mariangela Manfredi, Javier Fernández and Donatella Macchia and has published in prestigious journals such as The Journal of Immunology, Journal of Allergy and Clinical Immunology and Allergy.

In The Last Decade

Paolo Campi

37 papers receiving 1.6k citations

Hit Papers

Drug provocation testing ... 2003 2026 2010 2018 2003 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Paolo Campi 1.2k 643 532 445 381 37 1.7k
Benno Schnyder 1.4k 1.2× 327 0.5× 523 1.0× 639 1.4× 447 1.2× 39 2.0k
A. J. Bircher 648 0.6× 664 1.0× 734 1.4× 186 0.4× 283 0.7× 46 1.5k
Patrizia Bonadonna 860 0.7× 1.1k 1.8× 568 1.1× 445 1.0× 295 0.8× 66 1.9k
C. Antúnez 694 0.6× 723 1.1× 518 1.0× 236 0.5× 439 1.2× 35 1.3k
Donato Quaratino 776 0.7× 733 1.1× 530 1.0× 254 0.6× 237 0.6× 38 1.3k
Emilio Álvarez-Cuesta 437 0.4× 887 1.4× 622 1.2× 131 0.3× 739 1.9× 43 1.4k
Daniel Yerly 879 0.8× 128 0.2× 291 0.5× 536 1.2× 220 0.6× 39 1.6k
Arnaldo Capriles-Hulett 565 0.5× 412 0.6× 269 0.5× 525 1.2× 409 1.1× 55 1.3k
Yoshiko Mizukawa 1.0k 0.9× 159 0.2× 593 1.1× 743 1.7× 130 0.3× 68 1.9k
Pedro Gamboa 626 0.5× 1.2k 1.9× 527 1.0× 241 0.5× 454 1.2× 64 1.7k

Countries citing papers authored by Paolo Campi

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Campi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Campi

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Campi. A scholar is included among the top collaborators of Paolo Campi 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 Paolo Campi. Paolo Campi 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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