Maria Pagoni

127 total papers · 2.9k total citations
42 papers, 783 citations indexed

About

Maria Pagoni is a scholar working on Hematology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Maria Pagoni has authored 42 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 15 papers in Molecular Biology and 12 papers in Infectious Diseases. Recurrent topics in Maria Pagoni's work include Acute Myeloid Leukemia Research (15 papers), Retinoids in leukemia and cellular processes (9 papers) and Fungal Infections and Studies (6 papers). Maria Pagoni is often cited by papers focused on Acute Myeloid Leukemia Research (15 papers), Retinoids in leukemia and cellular processes (9 papers) and Fungal Infections and Studies (6 papers). Maria Pagoni collaborates with scholars based in Greece, United States and Italy. Maria Pagoni's co-authors include Spiros Stachtiaris, Thomas K. Dasaklis, Fran Casino, Nikolaos P. Rachaniotis, Socrates J. Moschuris, Venetis Kanakaris, Kalliopi N. Manola, Nikolaos V. Sipsas, Constantina Sambani and Nikolaos Giannakoulas and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Maria Pagoni

41 papers receiving 770 citations

Hit Papers

Blockchain-based food sup... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Maria Pagoni 185 178 170 165 138 42 783
Ruidong Zhang 74 0.4× 98 0.6× 120 0.7× 12 0.1× 25 0.2× 65 884
Aisling O’Driscoll 76 0.4× 105 0.6× 310 1.8× 53 0.3× 47 0.3× 33 857
Cees Th. Smit Sibinga 7 0.0× 96 0.5× 109 0.6× 43 0.3× 27 0.2× 73 747
James H. Keller 14 0.1× 80 0.4× 223 1.3× 16 0.1× 9 0.1× 21 786
Han Xia 107 0.6× 3 0.0× 166 1.0× 153 0.9× 20 0.1× 84 853
David Birch 65 0.4× 22 0.1× 416 2.4× 74 0.4× 8 0.1× 15 888
Ileana Constantinescu 156 0.8× 23 0.1× 56 0.3× 27 0.2× 5 0.0× 76 685
Puneet Kumar Gupta 54 0.3× 16 0.1× 27 0.2× 84 0.5× 7 0.1× 40 783
Minji Kim 12 0.1× 17 0.1× 248 1.5× 144 0.9× 10 0.1× 80 868
John M. Easton 45 0.2× 14 0.1× 242 1.4× 49 0.3× 6 0.0× 56 871

Countries citing papers authored by Maria Pagoni

Since Specialization
Citations

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

Fields of papers citing papers by Maria Pagoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Pagoni

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