Monica Pradotto

26 total papers · 411 total citations
12 papers, 105 citations indexed

About

Monica Pradotto is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Monica Pradotto has authored 12 papers receiving a total of 105 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 6 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Monica Pradotto's work include Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Protein Degradation and Inhibitors (3 papers). Monica Pradotto is often cited by papers focused on Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Protein Degradation and Inhibitors (3 papers). Monica Pradotto collaborates with scholars based in Italy, United States and Israel. Monica Pradotto's co-authors include Mariangela Martini, Giancarlo Panzica, Giorgio V. Scagliotti, Chiara Riganti, Sara Orecchia, Stefano Gotti, Iris C. Salaroglio, Luisella Righi, Silvia Novello and Roberta Libener and has published in prestigious journals such as Blood, Cancer Research and Brain Research.

In The Last Decade

Monica Pradotto

12 papers receiving 105 citations

Author Peers

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

Author						Papers	Cites
Monica Pradotto	46	30	23	18	15	12	105
Alessandra Gasparini	50 1.1×	37 1.2×	11 0.5×	18 1.0×	2 0.1×	12	159
Frank J. Jeurissen	103 2.2×	58 1.9×	30 1.3×	16 0.9×	2 0.1×	12	227
Parishmita Sarma	157 3.4×	28 0.9×	38 1.7×	18 1.0×	8 0.5×	14	225
Constantinos Troungos	116 2.5×	75 2.5×	17 0.7×	14 0.8×	13 0.9×	18	234
Jurriën Prins	183 4.0×	12 0.4×	14 0.6×	7 0.4×	6 0.4×	11	265
Conor M. Smith	48 1.0×	16 0.5×	68 3.0×	5 0.3×	15 1.0×	12	247
Mojib Javadi	42 0.9×	14 0.5×	17 0.7×	17 0.9×	25 1.7×	10	132
Yunna Ning	77 1.7×	7 0.2×	18 0.8×	6 0.3×	14 0.9×	16	223
Yuan Zhang	44 1.0×	42 1.4×	25 1.1×	7 0.4×	4 0.3×	16	125
Leire Burgos	75 1.6×	38 1.3×	26 1.1×	6 0.3×	86 5.7×	15	216

Countries citing papers authored by Monica Pradotto

Since Specialization

Citations

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

Fields of papers citing papers by Monica Pradotto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Pradotto

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