Maria Mesuraca

56 total papers · 1.3k total citations
41 papers, 964 citations indexed

About

Maria Mesuraca is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Maria Mesuraca has authored 41 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 12 papers in Hematology and 7 papers in Genetics. Recurrent topics in Maria Mesuraca's work include Epigenetics and DNA Methylation (8 papers), Acute Myeloid Leukemia Research (8 papers) and Mesenchymal stem cell research (5 papers). Maria Mesuraca is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Acute Myeloid Leukemia Research (8 papers) and Mesenchymal stem cell research (5 papers). Maria Mesuraca collaborates with scholars based in Italy, United States and Germany. Maria Mesuraca's co-authors include Tommaso Russo, Rosario Ammendola, Heather M. Bond, Emanuela Chiarella, Giovanni Morrone, Filiberto Cimino, F. Cimino, Stefania Scicchitano, Annamaria Aloisio and Nicola Amodio and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Maria Mesuraca

40 papers receiving 951 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Mesuraca 628 181 155 129 109 41 964
Angela Russo 537 0.9× 141 0.8× 151 1.0× 141 1.1× 83 0.8× 38 999
Yu Hou 668 1.1× 285 1.6× 108 0.7× 99 0.8× 81 0.7× 55 1.0k
Vera Roginskaya 675 1.1× 137 0.8× 105 0.7× 187 1.4× 77 0.7× 28 1.1k
Laurens T. van der Meer 741 1.2× 204 1.1× 138 0.9× 133 1.0× 121 1.1× 24 1.1k
Kenji Kitajima 642 1.0× 94 0.5× 153 1.0× 81 0.6× 134 1.2× 49 1.0k
Su-Peng Yeh 531 0.8× 212 1.2× 118 0.8× 140 1.1× 63 0.6× 29 854
Tommaso Zanocco‐Marani 585 0.9× 143 0.8× 98 0.6× 154 1.2× 80 0.7× 41 965
Mingqiang Ren 585 0.9× 107 0.6× 127 0.8× 127 1.0× 99 0.9× 40 836
Toshio Watanabe 765 1.2× 180 1.0× 181 1.2× 198 1.5× 58 0.5× 37 1.1k
Atsushi Sato 778 1.2× 195 1.1× 105 0.7× 230 1.8× 102 0.9× 44 1.1k

Countries citing papers authored by Maria Mesuraca

Since Specialization
Citations

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

Fields of papers citing papers by Maria Mesuraca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Mesuraca

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