Serena Rocchi
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
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- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
- Hematology 28
- Multiple Myeloma Research and Treatments 26
- Acute Myeloid Leukemia Research 2
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- Protein Degradation and Inhibitors 15
- Cancer therapeutics and mechanisms 2
- Co-authors
- Michèle Cavo (27 shared papers)Elena Zamagni (26 shared papers)Paola Tacchetti (24 shared papers)Lucia Pantani (24 shared papers)Carolina Terragna (18 shared papers)Beatrice Anna Zannetti (16 shared papers)Katia Mancuso (24 shared papers)Marina Martello (13 shared papers)
In The Last Decade
Serena Rocchi
28 papers receiving 298 citations
Peers
Comparison fields: 5 of 36
- Hematology 255
- Oncology 157
- Genetics 33
- Molecular Biology 180
- Cancer Research 23
Countries citing papers authored by Serena Rocchi
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
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.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 107 | |
| 2 | 2014 | 39 | |
| 3 | 2015 | 28 | |
| 4 | 2014 | 24 | |
| 5 | 2022 | 17 | |
| 6 | 2013 | 12 | |
| 7 | 2016 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2016 | 9 | |
| 10 | 2014 | 7 | |
| 11 | 2024 | 5 | |
| 12 | 2015 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2017 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2013 | 1 | |
| 20 | 2024 | 1 |
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 301 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (26 papers), Protein Degradation and Inhibitors (15 papers), Peptidase Inhibition and Analysis (9 papers), Cancer Treatment and Pharmacology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Cancer therapeutics and mechanisms (2 papers), Acute Myeloid Leukemia Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (255 citations), Oncology (157 citations), Genetics (33 citations), Molecular Biology (180 citations) and Cancer Research (23 citations). Serena Rocchi has collaborated with scholars based in Italy and Spain. Frequent co-authors include Michèle Cavo, Elena Zamagni, Paola Tacchetti, Lucia Pantani, Carolina Terragna, Beatrice Anna Zannetti, Katia Mancuso, Marina Martello, Annalisa Pezzi and Annamaria Brioli. Their work appears in journals such as Blood, American Journal of Hematology, Annals of Hematology, Frontiers in Oncology 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.