Francesca Gay
- Hematology top 0.1%
- Molecular Biology top 2%
- Oncology top 1%
- Genetics top 2%
- Surgery top 10%
- Co-authors
- Mario BoccadoroPieter SonneveldMaría‐Victoria MateosShaji KumarS. Vincent RajkumarAntonio PalumboKenneth C. AndersonMark van Duin
- Topics
- Multiple Myeloma Research and Treatments (147 papers)Protein Degradation and Inhibitors (73 papers)Cancer Treatment and Pharmacology (51 papers)
- Cited by
- HematologyOncologyGenetics
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyUnited StatesNetherlands
In The Last Decade
Francesca Gay
166 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Hematology 3.6k
- Molecular Biology 2.9k
- Oncology 2.6k
- Genetics 485
- Surgery 428
Countries citing papers authored by Francesca Gay
This map shows the geographic impact of Francesca Gay'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 Gay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Gay more than expected).
Fields of papers citing papers by Francesca Gay
This network shows the impact of papers produced by Francesca Gay. 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 Gay. The network helps show where Francesca Gay may publish in the future.
Co-authorship network of co-authors of Francesca Gay
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Gay. A scholar is included among the top collaborators of Francesca Gay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesca Gay. Francesca Gay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | Monitoring, prophylaxis, and treatment of infections in patients with MM receiving bispecific antibody therapy: consensus recommendations from an expert panelbreakdown → | 77 |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 25 | |
| 12 | 3 | |
| 13 | 35 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 38 | |
| 17 | 38 | |
| 18 | 1 | |
| 19 | 30 | |
| 20 | 250 |
About Francesca Gay
Francesca Gay is a scholar working on Hematology, Oncology and Genetics, having authored 183 papers that have together received 5.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (147 papers), Protein Degradation and Inhibitors (73 papers) and Cancer Treatment and Pharmacology (51 papers). The work is most often cited by research in Hematology (3.6k citations), Oncology (2.6k citations) and Genetics (485 citations). Francesca Gay has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Mario Boccadoro, Pieter Sonneveld, María‐Victoria Mateos, Shaji Kumar, S. Vincent Rajkumar, Antonio Palumbo, Kenneth C. Anderson, Mark van Duin, Robert A. Kyle and Pellegrino Musto. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.