Francesca Gay

17.9k total citations · 3 hit papers
183 papers, 5.1k citations indexed

About

Francesca Gay is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Francesca Gay has authored 183 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Hematology, 100 papers in Oncology and 95 papers in Molecular Biology. Recurrent topics in Francesca Gay's work include Multiple Myeloma Research and Treatments (147 papers), Protein Degradation and Inhibitors (73 papers) and Cancer Treatment and Pharmacology (51 papers). Francesca Gay is often cited by papers focused on Multiple Myeloma Research and Treatments (147 papers), Protein Degradation and Inhibitors (73 papers) and Cancer Treatment and Pharmacology (51 papers). Francesca Gay collaborates with scholars based in Italy, United States and Netherlands. Francesca Gay's 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 and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Francesca Gay

166 papers receiving 5.0k citations

Hit Papers

Multiple myeloma 2017 2026 2020 2023 2017 2017 2023 250 500 750

Peers

Francesca Gay
Comparison fields: 5 of 120
  • Hematology 3.6k
  • Molecular Biology 2.9k
  • Oncology 2.6k
  • Genetics 485
  • Surgery 428
Replace Natalie S. Callander with:
Natalie S. Callander United States
Patrizia Tosi Italy
Martin Kaiser United Kingdom
Michel Delforge Belgium
Melissa Alsina United States
Prashant Kapoor United States
Katja Weisel Germany
Sung‐Soo Yoon South Korea
Stefan Knop Germany
Jean‐François Rossi France
Natalie S. Callander United States View profile →
Citations per field, relative to Francesca Gay
Francesca Gay · 1×
Citations per year, relative to Francesca Gay
Francesca Gay · 1×

Countries citing papers authored by Francesca Gay

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 panel breakdown →
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

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.

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