Serena Rocchi

1.3k citations
31 papers · 321 · h-index 10

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis
    • Cancer Treatment and Pharmacology

Papers in

    • Multiple Myeloma Research and Treatments 26
    • Acute Myeloid Leukemia Research 2
    • Protein Degradation and Inhibitors 12

Serena Rocchi

28 papers receiving 316 citations

Peers

Serena Rocchi
Comparison fields: 5 of 34
  • Hematology 260
  • Oncology 142
  • Genetics 26
  • Molecular Biology 161
  • Cancer Research 20
Replace Katia Mancuso with:
Katia Mancuso Italy
Xenofon Papanikolaou United States
Alessandra Bertola Italy
E. Stadtmauer United States
Nuria Navarro Coy United Kingdom
Kota Fukumoto Japan
Hannah Hunter United Kingdom
David Yao United States
Bonnie Jenkins United States
Ana Isabel Teruel Spain
Serena Rocchi relative to Katia Mancuso Italy Katia Mancuso's profile →
Citations per field
00.5×1.5×2.2×
Katia Mancuso · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Serena Rocchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Serena Rocchi Line = papers co-authored together Serena Rocchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015114
2 201440
3 201530
4 201426
5 202219
6 202212
7 201612
8 201312
9 20169
10 20149
11 20245
12 20155
13 20234
14 20244
15 20173
16 20242
17 20222
18 20142
19 20202
20 20131

About Serena Rocchi

Serena Rocchi is a scholar working on Hematology, Molecular Biology, Oncology, Infectious Diseases and Genetics, having authored 31 papers that have together received 321 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (26 papers), Protein Degradation and Inhibitors (12 papers), Peptidase Inhibition and Analysis (6 papers), Cancer Treatment and Pharmacology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), HIV/AIDS drug development and treatment (2 papers), CAR-T cell therapy research (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Hematology (260 citations), Oncology (142 citations), Genetics (26 citations), Molecular Biology (161 citations) and Cancer Research (20 citations). Serena Rocchi has collaborated with scholars based in Italy and Spain. Frequent co-authors include Elena Zamagni, Michèle Cavo, Paola Tacchetti, Lucia Pantani, Carolina Terragna, Beatrice Anna Zannetti, Katia Mancuso, Marina Martello, Enrica Borsi and Annalisa Pezzi. Their work appears in journals such as Blood, American Journal of Hematology, Frontiers in Oncology, Annals of Hematology and Clinical Cancer Research.

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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