Francesca Cottini
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 43
- Multiple Myeloma Research and Treatments 42
-
- Protein Degradation and Inhibitors 15
- Cancer therapeutics and mechanisms 6
- Histone Deacetylase Inhibitors Research 5
- Co-authors
- Teru Hideshima (13 shared papers)Kenneth C. Anderson (14 shared papers)Paul G. Richardson (10 shared papers)Rikio Suzuki (8 shared papers)Jana Jakubı́ková (7 shared papers)Hiroto Ohguchi (9 shared papers)Güllü Görgün (8 shared papers)Nikhil C. Munshi (8 shared papers)
- Journals
- Blood (21 papers)Leukemia (5 papers)Journal of Clinical Medicine (2 papers)Frontiers in Oncology (2 papers)Cancers (2 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Francesca Cottini
51 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Hematology 321
- Genetics 174
- Geriatrics and Gerontology 57
- Nephrology 97
- Oncology 283
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 131 | |
| 2 | 1998 | 122 | |
| 3 | 2012 | 118 | |
| 4 | 2011 | 101 | |
| 5 | 2015 | 87 | |
| 6 | 2014 | 66 | |
| 7 | 2015 | 53 | |
| 8 | 2015 | 53 | |
| 9 | 2016 | 48 | |
| 10 | 2013 | 47 | |
| 11 | 2010 | 42 | |
| 12 | 2017 | 37 | |
| 13 | 2014 | 24 | |
| 14 | 2015 | 19 | |
| 15 | Novel therapeutic targets in multiple myeloma. | 2015 | 19 |
| 16 | 2023 | 14 | |
| 17 | 2021 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2014 | 8 | |
| 20 | 2023 | 6 |
About Francesca Cottini
Francesca Cottini is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Immunology, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (42 papers), Protein Degradation and Inhibitors (15 papers), Chronic Lymphocytic Leukemia Research (8 papers), Peptidase Inhibition and Analysis (8 papers), Cancer therapeutics and mechanisms (6 papers), Histone Deacetylase Inhibitors Research (5 papers), Immunotherapy and Immune Responses (5 papers) and Cancer Mechanisms and Therapy (4 papers). The work is most often cited by research in Hematology (321 citations), Genetics (174 citations), Geriatrics and Gerontology (57 citations), Nephrology (97 citations) and Oncology (283 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, Güllü Görgün, Nikhil C. Munshi, Naoya Mimura and Yu‐Tzu Tai. Their work appears in journals such as Blood, Leukemia, Journal of Clinical Medicine, Frontiers in 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.