Katia Mancuso

130 total papers · 949 total citations
39 papers, 274 citations indexed

About

Katia Mancuso is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Katia Mancuso has authored 39 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Hematology, 26 papers in Molecular Biology and 18 papers in Oncology. Recurrent topics in Katia Mancuso's work include Multiple Myeloma Research and Treatments (35 papers), Protein Degradation and Inhibitors (21 papers) and Peptidase Inhibition and Analysis (11 papers). Katia Mancuso is often cited by papers focused on Multiple Myeloma Research and Treatments (35 papers), Protein Degradation and Inhibitors (21 papers) and Peptidase Inhibition and Analysis (11 papers). Katia Mancuso collaborates with scholars based in Italy, Spain and Germany. Katia Mancuso's co-authors include Michèle Cavo, Elena Zamagni, Paola Tacchetti, Lucia Pantani, Serena Rocchi, Annamaria Brioli, Beatrice Anna Zannetti, Carolina Terragna, Annalisa Pezzi and Giulia Marzocchi and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Katia Mancuso

34 papers receiving 270 citations

Author Peers

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

Author Last Decade Papers Cites
Katia Mancuso 235 157 153 25 25 39 274
Serena Rocchi 248 1.1× 174 1.1× 156 1.0× 32 1.3× 26 1.0× 30 293
Christopher Strouse 157 0.7× 128 0.8× 91 0.6× 24 1.0× 36 1.4× 47 312
Xenofon Papanikolaou 237 1.0× 165 1.1× 146 1.0× 50 2.0× 20 0.8× 27 304
Vlastimil Ščudla 177 0.8× 144 0.9× 117 0.8× 43 1.7× 17 0.7× 42 265
Jaroslav Bačovský 139 0.6× 102 0.6× 79 0.5× 34 1.4× 14 0.6× 51 198
Luciana Correa Oliveira de Oliveira 180 0.8× 138 0.9× 88 0.6× 59 2.4× 11 0.4× 30 329
Elizabeth H. Cull 117 0.5× 101 0.6× 100 0.7× 20 0.8× 19 0.8× 27 270
Ilaria Rizzello 145 0.6× 94 0.6× 95 0.6× 18 0.7× 22 0.9× 23 176
Ulf Christian Frølund 240 1.0× 163 1.0× 154 1.0× 73 2.9× 19 0.8× 27 313
Jan Štraub 162 0.7× 132 0.8× 104 0.7× 36 1.4× 17 0.7× 38 329

Countries citing papers authored by Katia Mancuso

Since Specialization
Citations

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

Fields of papers citing papers by Katia Mancuso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katia Mancuso

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