Paola Deho

38 total papers · 1.3k total citations
8 papers, 974 citations indexed

About

Paola Deho is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Paola Deho has authored 8 papers receiving a total of 974 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Paola Deho's work include Immunotherapy and Immune Responses (4 papers), Melanoma and MAPK Pathways (2 papers) and Protein Tyrosine Phosphatases (2 papers). Paola Deho is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Melanoma and MAPK Pathways (2 papers) and Protein Tyrosine Phosphatases (2 papers). Paola Deho collaborates with scholars based in Italy, United States and France. Paola Deho's co-authors include Licia Rivoltini, Giorgio Parmiani, Chiara Castelli, Paola Perego, Paola Squarcina, Veronica Huber, Luana Lugini, Giuseppe Arancia, Massimo Gentile and Annarita Stringaro and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Cancer Research.

In The Last Decade

Paola Deho

8 papers receiving 952 citations

Hit Papers

Induction of Lymphocyte A... 2002 2026 2010 2018 2002 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Paola Deho 770 424 293 251 65 8 974
Paola Accornero 722 0.9× 463 1.1× 286 1.0× 189 0.8× 49 0.8× 9 1.0k
Anna Ranghetti 525 0.7× 476 1.1× 275 0.9× 334 1.3× 47 0.7× 11 968
Gaia C. Ghedini 630 0.8× 250 0.6× 357 1.2× 241 1.0× 70 1.1× 14 895
Mahnaz Sahraei 733 1.0× 310 0.7× 332 1.1× 388 1.5× 50 0.8× 15 1.1k
Pierre‐Benoit Ancey 554 0.7× 224 0.5× 384 1.3× 183 0.7× 59 0.9× 10 920
Yun-Le Wan 523 0.7× 304 0.7× 350 1.2× 150 0.6× 38 0.6× 11 826
Nicholas Pervolarakis 718 0.9× 381 0.9× 326 1.1× 458 1.8× 111 1.7× 11 1.2k
Simona Principe 666 0.9× 192 0.5× 388 1.3× 153 0.6× 59 0.9× 10 976
Miryam Müller 594 0.8× 147 0.3× 448 1.5× 250 1.0× 47 0.7× 15 956
David Tieri 466 0.6× 541 1.3× 226 0.8× 168 0.7× 68 1.0× 13 924

Countries citing papers authored by Paola Deho

Since Specialization
Citations

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

Fields of papers citing papers by Paola Deho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Deho

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