M. A. Pacciarini
- Oncology top 10%
- Cancer Treatment and Pharmacology 17
- Lung Cancer Research Studies 3
- Neutropenia and Cancer Infections 3
- Cancer-related Molecular Pathways 3
- Hematology top 10%
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- Chemotherapy-induced cardiotoxicity and mitigation 11
- Biophysics top 10%
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- Chronic Lymphocytic Leukemia Research 5
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- Lung Cancer Treatments and Mutations 4
- Advanced Breast Cancer Therapies 2
- Co-authors
- Fabrizio GanzinaF PannutiAndrea MartoniSilvio GarattiniM.G. DonelliB BarbieriStefano PersianiTina Colombo
- Journals
- Journal of Clinical Oncology (5 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Cancer (1 paper)
- 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
- Hematology 92
- Cardiology and Cardiovascular Medicine 155
- Biophysics 27
- Genetics 50
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
The 25 scholars most cited alongside M. A. Pacciarini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 44 | |
| 2 | 2011 | 32 | |
| 3 | 2010 | 3 | |
| 4 | 2010 | 1 | |
| 5 | 2010 | 2 | |
| 6 | 2008 | 13 | |
| 7 | 1999 | 12 | |
| 8 | 1996 | 13 | |
| 9 | 1995 | 36 | |
| 10 | 1990 | 16 | |
| 11 | 1987 | 3 | |
| 12 | 1986 | 4 | |
| 13 | 1986 | 5 | |
| 14 | 1986 | 2 | |
| 15 | 1985 | 52 | |
| 16 | 1985 | 34 | |
| 17 | 1983 | 17 | |
| 18 | 1979 | 15 | |
| 19 | Distribution and antitumor activity of adriamycin given in a high-dose and a repeated low-dose schedule to mice. | 1978 | 39 |
| 20 | 1977 | 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), Chronic Lymphocytic Leukemia Research (5 papers), Lung Cancer Treatments and Mutations (4 papers), Lung Cancer Research Studies (3 papers), Neutropenia and Cancer Infections (3 papers), Cancer-related Molecular Pathways (3 papers) and Advanced Breast Cancer Therapies (2 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.