M. A. Pacciarini
- Oncology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Hematology top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Fabrizio GanzinaF PannutiAndrea MartoniSilvio GarattiniM.G. DonelliB BarbieriStefano PersianiTina Colombo
- Topics
- Cancer Treatment and Pharmacology (17 papers)Chemotherapy-induced cardiotoxicity and mitigation (11 papers)Chronic Lymphocytic Leukemia Research (5 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
M. A. Pacciarini
28 papers receiving 486 citations
Peers
Comparison fields: 5 of 71
- Oncology 309
- Cardiology and Cardiovascular Medicine 155
- Molecular Biology 148
- Hematology 92
- Pulmonary and Respiratory Medicine 77
Countries citing papers authored by M. A. Pacciarini
This map shows the geographic impact of M. A. Pacciarini'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. A. Pacciarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. A. Pacciarini more than expected).
Fields of papers citing papers by M. A. Pacciarini
This network shows the impact of papers produced by M. A. Pacciarini. 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. A. Pacciarini. The network helps show where M. A. Pacciarini may publish in the future.
Co-authorship network of co-authors of M. A. Pacciarini
This figure shows the co-authorship network connecting the top 25 collaborators of M. A. Pacciarini. A scholar is included among the top collaborators of M. A. Pacciarini 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. A. Pacciarini. M. A. Pacciarini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 32 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 12 | |
| 8 | 13 | |
| 9 | 36 | |
| 10 | 16 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | 2 | |
| 15 | 52 | |
| 16 | 34 | |
| 17 | 17 | |
| 18 | 15 | |
| 19 | Distribution and antitumor activity of adriamycin given in a high-dose and a repeated low-dose schedule to mice. | 39 |
| 20 | 14 |
About M. A. Pacciarini
M. A. Pacciarini is a scholar working on Oncology, Genetics and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 518 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (17 papers), Chemotherapy-induced cardiotoxicity and mitigation (11 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Oncology (309 citations), Hematology (92 citations) and Cardiology and Cardiovascular Medicine (155 citations). M. A. Pacciarini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Fabrizio Ganzina, F Pannuti, Andrea Martoni, Silvio Garattini, M.G. Donelli, B Barbieri, Stefano Persiani, Tina Colombo, Massimo Broggini and V. Tamassia. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and 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.