Francesca Cottini
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Geriatrics and Gerontology top 5%
Papers in
- Hematology 44
- Multiple Myeloma Research and Treatments 43
-
- Protein Degradation and Inhibitors 16
- Histone Deacetylase Inhibitors Research 5
- Ubiquitin and proteasome pathways 4
- PI3K/AKT/mTOR signaling in cancer 4
- Co-authors
- Teru Hideshima (14 shared papers)Kenneth C. Anderson (16 shared papers)Paul G. Richardson (11 shared papers)Rikio Suzuki (8 shared papers)Jana Jakubı́ková (7 shared papers)Hiroto Ohguchi (9 shared papers)Nikhil C. Munshi (8 shared papers)Güllü Görgün (8 shared papers)
- Journals
- Blood (21 papers)Leukemia (5 papers)Frontiers in Oncology (2 papers)Journal of Clinical Oncology (2 papers)Cancers (2 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Francesca Cottini
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Hematology 311
- Geriatrics and Gerontology 56
- Genetics 166
- Nephrology 86
- Oncology 263
Countries citing papers authored by Francesca Cottini
This map shows the geographic impact of Francesca Cottini'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 Francesca Cottini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Cottini more than expected).
Fields of papers citing papers by Francesca Cottini
This network shows the impact of papers produced by Francesca Cottini. 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 Francesca Cottini. The network helps show where Francesca Cottini may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Cottini, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 136 | |
| 2 | 1998 | 130 | |
| 3 | 2012 | 121 | |
| 4 | 2011 | 106 | |
| 5 | 2015 | 89 | |
| 6 | 2014 | 66 | |
| 7 | 2015 | 55 | |
| 8 | 2015 | 55 | |
| 9 | 2016 | 50 | |
| 10 | 2013 | 50 | |
| 11 | 2010 | 43 | |
| 12 | 2017 | 37 | |
| 13 | 2014 | 25 | |
| 14 | 2015 | 21 | |
| 15 | Novel therapeutic targets in multiple myeloma. | 2015 | 19 |
| 16 | 2023 | 14 | |
| 17 | 2023 | 14 | |
| 18 | 2021 | 11 | |
| 19 | 2022 | 10 | |
| 20 | 2014 | 8 |
About Francesca Cottini
Francesca Cottini is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Immunology, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (43 papers), Protein Degradation and Inhibitors (16 papers), Peptidase Inhibition and Analysis (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Immunotherapy and Immune Responses (5 papers), Histone Deacetylase Inhibitors Research (5 papers), Ubiquitin and proteasome pathways (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Hematology (311 citations), Geriatrics and Gerontology (56 citations), Genetics (166 citations), Nephrology (86 citations) and Oncology (263 citations). Francesca Cottini has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Teru Hideshima, Kenneth C. Anderson, Paul G. Richardson, Rikio Suzuki, Jana Jakubı́ková, Hiroto Ohguchi, Nikhil C. Munshi, Güllü Görgün, Naoya Mimura and Yu‐Tzu Tai. Their work appears in journals such as Blood, Leukemia, Frontiers in Oncology, Journal of Clinical Oncology and Cancers.
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.