Katia Mancuso
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
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- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
- CAR-T cell therapy research
Papers in
- Hematology 35
- Multiple Myeloma Research and Treatments 35
- Chronic Myeloid Leukemia Treatments 4
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- Protein Degradation and Inhibitors 17
- Ubiquitin and proteasome pathways 2
- Co-authors
- Elena Zamagni (38 shared papers)Michèle Cavo (36 shared papers)Paola Tacchetti (35 shared papers)Lucia Pantani (31 shared papers)Serena Rocchi (24 shared papers)Annalisa Pezzi (12 shared papers)Carolina Terragna (19 shared papers)Annamaria Brioli (12 shared papers)
In The Last Decade
Katia Mancuso
37 papers receiving 299 citations
Peers
Comparison fields: 5 of 36
- Hematology 239
- Oncology 135
- Molecular Biology 145
- Genetics 18
- Emergency Medicine 12
Countries citing papers authored by Katia Mancuso
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
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-authors
The 25 scholars most cited alongside Katia Mancuso, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 108 | |
| 2 | 2015 | 29 | |
| 3 | 2017 | 27 | |
| 4 | 2022 | 19 | |
| 5 | 2016 | 12 | |
| 6 | 2013 | 12 | |
| 7 | 2024 | 9 | |
| 8 | 2016 | 9 | |
| 9 | 2024 | 9 | |
| 10 | 2014 | 7 | |
| 11 | 2013 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2017 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 2 |
About Katia Mancuso
Katia Mancuso is a scholar working on Hematology, Molecular Biology, Oncology, Infectious Diseases and Genetics, having authored 42 papers that have together received 303 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (35 papers), Protein Degradation and Inhibitors (17 papers), Peptidase Inhibition and Analysis (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Ubiquitin and proteasome pathways (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Hematology (239 citations), Oncology (135 citations), Molecular Biology (145 citations), Genetics (18 citations) and Emergency Medicine (12 citations). Katia Mancuso has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include Elena Zamagni, Michèle Cavo, Paola Tacchetti, Lucia Pantani, Serena Rocchi, Annalisa Pezzi, Carolina Terragna, Annamaria Brioli, Beatrice Anna Zannetti and Enrica Borsi. Their work appears in journals such as Blood, Cancers, Annals of Hematology, American Journal of Hematology and Clinical and Experimental Medicine.
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.