Matilde Y. Follo

136 total papers · 4.2k total citations
77 papers, 1.9k citations indexed

About

Matilde Y. Follo is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Matilde Y. Follo has authored 77 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 35 papers in Hematology and 16 papers in Cell Biology. Recurrent topics in Matilde Y. Follo's work include Acute Myeloid Leukemia Research (34 papers), Protein Kinase Regulation and GTPase Signaling (12 papers) and Cellular transport and secretion (12 papers). Matilde Y. Follo is often cited by papers focused on Acute Myeloid Leukemia Research (34 papers), Protein Kinase Regulation and GTPase Signaling (12 papers) and Cellular transport and secretion (12 papers). Matilde Y. Follo collaborates with scholars based in Italy, United States and South Korea. Matilde Y. Follo's co-authors include Lucio Cocco, Lucia Manzoli, Alberto M. Martelli, Giulia Ramazzotti, Sara Mongiorgi, Irene Faenza, Carlo Finelli, Roberta Fiume, Stefano Ratti and Pann‐Ghill Suh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Matilde Y. Follo

74 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Matilde Y. Follo 1.3k 522 386 245 209 77 1.9k
Irene E. Zohn 1.3k 1.0× 265 0.5× 256 0.7× 189 0.8× 255 1.2× 42 2.0k
Giulia Ramazzotti 1.2k 0.9× 255 0.5× 342 0.9× 159 0.6× 169 0.8× 67 1.6k
Stephan M. Tanner 1.4k 1.1× 539 1.0× 263 0.7× 280 1.1× 359 1.7× 44 2.4k
Joachim R. Göthert 1.3k 1.0× 489 0.9× 345 0.9× 322 1.3× 297 1.4× 54 2.2k
Anna Maria Billi 2.0k 1.6× 308 0.6× 518 1.3× 155 0.6× 277 1.3× 93 2.6k
Claudia Linker 1.5k 1.2× 416 0.8× 278 0.7× 179 0.7× 284 1.4× 48 3.0k
Hyun‐Woo Jeong 893 0.7× 226 0.4× 251 0.7× 180 0.7× 176 0.8× 53 1.7k
David B. Bregman 1.9k 1.5× 664 1.3× 433 1.1× 488 2.0× 326 1.6× 43 3.3k
Tsutomu Toki 1.2k 0.9× 535 1.0× 129 0.3× 270 1.1× 121 0.6× 66 1.8k
Monique Plantavid 1.4k 1.1× 911 1.7× 642 1.7× 235 1.0× 128 0.6× 74 2.9k

Countries citing papers authored by Matilde Y. Follo

Since Specialization
Citations

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

Fields of papers citing papers by Matilde Y. Follo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matilde Y. Follo. 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 Matilde Y. Follo. The network helps show where Matilde Y. Follo may publish in the future.

Co-authorship network of co-authors of Matilde Y. Follo

This figure shows the co-authorship network connecting the top 25 collaborators of Matilde Y. Follo. A scholar is included among the top collaborators of Matilde Y. Follo 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 Matilde Y. Follo. Matilde Y. Follo 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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