Massimo Offidani
- Hematology top 0.5%
- Oncology top 2%
- Molecular Biology top 5%
- Epidemiology top 10%
- Genetics top 5%
- Co-authors
- Laura CorvattaPietro LeoniAttilio OlivieriAntonio PalumboMario BoccadoroMauro MontanariMarino BrunoriSilvia Gentili
- Topics
- Multiple Myeloma Research and Treatments (106 papers)Protein Degradation and Inhibitors (59 papers)Peptidase Inhibition and Analysis (35 papers)
- Cited by
- HematologyOncologyGenetics
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- ItalyNetherlandsSpain
In The Last Decade
Massimo Offidani
142 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 103
- Hematology 2.0k
- Oncology 1.4k
- Molecular Biology 1.4k
- Epidemiology 383
- Genetics 304
Countries citing papers authored by Massimo Offidani
This map shows the geographic impact of Massimo Offidani'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 Massimo Offidani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Offidani more than expected).
Fields of papers citing papers by Massimo Offidani
This network shows the impact of papers produced by Massimo Offidani. 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 Massimo Offidani. The network helps show where Massimo Offidani may publish in the future.
Co-authorship network of co-authors of Massimo Offidani
This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Offidani. A scholar is included among the top collaborators of Massimo Offidani 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 Massimo Offidani. Massimo Offidani 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 | 1 | |
| 3 | 15 | |
| 4 | 4 | |
| 5 | 23 | |
| 6 | 19 | |
| 7 | 28 | |
| 8 | 16 | |
| 9 | 41 | |
| 10 | 24 | |
| 11 | 12 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 40 | |
| 17 | 11 | |
| 18 | 10 | |
| 19 | Addition of erythropoietin to granulocyte colony-stimulating factor after priming chemotherapy enhances hemopoietic progenitor mobilization. | 25 |
| 20 | LE IMMUNOGLOBULINE ANTI-RH NELLE ANEMIE EMOLITICHE AUTOIMMUNI REFRATTARIE | 1 |
About Massimo Offidani
Massimo Offidani is a scholar working on Hematology, Oncology and Genetics, having authored 145 papers that have together received 3.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (106 papers), Protein Degradation and Inhibitors (59 papers) and Peptidase Inhibition and Analysis (35 papers). The work is most often cited by research in Hematology (2.0k citations), Oncology (1.4k citations) and Genetics (304 citations). Massimo Offidani has collaborated with scholars based in Italy, Netherlands and Spain. Frequent co-authors include Laura Corvatta, Pietro Leoni, Attilio Olivieri, Antonio Palumbo, Mario Boccadoro, Mauro Montanari, Marino Brunori, Silvia Gentili, Francesca Gay and Michèle Cavo. 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.