Serena Rocchi

101 total papers · 1.2k total citations
30 papers, 293 citations indexed

About

Serena Rocchi is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Serena Rocchi has authored 30 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hematology, 21 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Serena Rocchi's work include Multiple Myeloma Research and Treatments (26 papers), Protein Degradation and Inhibitors (15 papers) and Peptidase Inhibition and Analysis (9 papers). Serena Rocchi is often cited by papers focused on Multiple Myeloma Research and Treatments (26 papers), Protein Degradation and Inhibitors (15 papers) and Peptidase Inhibition and Analysis (9 papers). Serena Rocchi collaborates with scholars based in Italy and Spain. Serena Rocchi's co-authors include Michèle Cavo, Elena Zamagni, Lucia Pantani, Paola Tacchetti, Carolina Terragna, Beatrice Anna Zannetti, Marina Martello, Katia Mancuso, Annalisa Pezzi and Annamaria Brioli and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Serena Rocchi

28 papers receiving 290 citations

Author Peers

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

Author Last Decade Papers Cites
Serena Rocchi 248 174 156 32 26 30 293
Katia Mancuso 235 0.9× 157 0.9× 153 1.0× 25 0.8× 25 1.0× 39 274
Xenofon Papanikolaou 237 1.0× 165 0.9× 146 0.9× 50 1.6× 20 0.8× 27 304
Giulia Marzocchi 228 0.9× 125 0.7× 97 0.6× 95 3.0× 26 1.0× 25 318
Gaku Oshikawa 166 0.7× 149 0.9× 82 0.5× 78 2.4× 40 1.5× 29 323
Spurr Cl 132 0.5× 74 0.4× 113 0.7× 70 2.2× 37 1.4× 20 326
Qi Gao 179 0.7× 118 0.7× 124 0.8× 67 2.1× 95 3.7× 29 303
Yaozhong Zhao 217 0.9× 150 0.9× 144 0.9× 56 1.8× 26 1.0× 20 309
Rabin Niroula 119 0.5× 118 0.7× 58 0.4× 44 1.4× 35 1.3× 23 282
Tiziana Moscato 268 1.1× 85 0.5× 173 1.1× 40 1.3× 10 0.4× 33 338
Wanling Sun 124 0.5× 79 0.5× 36 0.2× 50 1.6× 28 1.1× 38 291

Countries citing papers authored by Serena Rocchi

Since Specialization
Citations

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

Fields of papers citing papers by Serena Rocchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Rocchi

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Rocchi. A scholar is included among the top collaborators of Serena Rocchi 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 Serena Rocchi. Serena Rocchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026