M. R. Sertoli
- Oncology top 10%
- Immunology
- Molecular Biology
- Hematology top 10%
- Reproductive Medicine top 10%
- Co-authors
- R. RossoLucia Del MastroM. VenturiniPaola QueiroloEmilio BajettaM.G. BernengoGianfilippo BertelliRita Lionetto
- Topics
- Cancer Treatment and Pharmacology (5 papers)Neutropenia and Cancer Infections (4 papers)Breast Cancer Treatment Studies (4 papers)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
M. R. Sertoli
26 papers receiving 615 citations
Peers
Comparison fields: 5 of 66
- Oncology 391
- Immunology 185
- Molecular Biology 141
- Hematology 98
- Reproductive Medicine 87
Countries citing papers authored by M. R. Sertoli
This map shows the geographic impact of M. R. Sertoli'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 M. R. Sertoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. R. Sertoli more than expected).
Fields of papers citing papers by M. R. Sertoli
This network shows the impact of papers produced by M. R. Sertoli. 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 M. R. Sertoli. The network helps show where M. R. Sertoli may publish in the future.
Co-authorship network of co-authors of M. R. Sertoli
This figure shows the co-authorship network connecting the top 25 collaborators of M. R. Sertoli. A scholar is included among the top collaborators of M. R. Sertoli 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 M. R. Sertoli. M. R. Sertoli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 101 | |
| 2 | 44 | |
| 3 | 78 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | Micronucleus analysis in peripheral blood lymphocytes from melanoma patients treated with dacarbazine. | 9 |
| 7 | 26 | |
| 8 | 11 | |
| 9 | 108 | |
| 10 | 8 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 2 | |
| 14 | Chemotherapy with mitomycin-C, epidoxorubicin and vinblastine in CMF failing breast cancer patients. | 2 |
| 15 | A phase I study of recombinant interleukin-2 intraperitoneal infusion in patients with neoplastic ascites: toxic effects and immunologic results. | 7 |
| 16 | 29 | |
| 17 | 32 | |
| 18 | A phase II study of mitoxantrone in advanced breast cancer. | 3 |
| 19 | A randomized trial of systemic versus oral prophylactic antibiotic treatment in colo-rectal surgery | 1 |
| 20 | Randomized trial of chemo-hormone therapy in advanced breast cancer | 4 |
About M. R. Sertoli
M. R. Sertoli is a scholar working on Dermatology, Oncology and Cancer Research, having authored 26 papers that have together received 638 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (5 papers), Neutropenia and Cancer Infections (4 papers) and Breast Cancer Treatment Studies (4 papers). The work is most often cited by research in Oncology (391 citations), Reproductive Medicine (87 citations) and Hematology (98 citations). M. R. Sertoli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include R. Rosso, Lucia Del Mastro, M. Venturini, Paola Queirolo, Emilio Bajetta, M.G. Bernengo, Gianfilippo Bertelli, Rita Lionetto, Maria Giulia Zampino and Angelo Di Leo. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research and British Journal of Cancer.
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.