Matteo Parma
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Hematology 21
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 6
- Chronic Myeloid Leukemia Treatments 4
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- Immune Cell Function and Interaction 4
- Co-authors
- Andrea Biondi (12 shared papers)Paolo Perseghin (9 shared papers)Ettore Biagi (8 shared papers)Giuseppe Gaipa (7 shared papers)Enrico Maria Pogliani (11 shared papers)Adriana Balduzzi (4 shared papers)Giovanna D’Amico (5 shared papers)Erica Dander (5 shared papers)
- Journals
- Blood (5 papers)Transplantation (3 papers)Haematologica (3 papers)Leukemia (2 papers)Journal of Cellular and Molecular Medicine (2 papers)
- Partner nations
- ItalyUnited StatesMalaysia
In The Last Decade
Matteo Parma
36 papers receiving 931 citations
Peers
Comparison fields: 5 of 74
- Hematology 423
- Immunology 374
- Genetics 130
- Oncology 240
- Transplantation 19
Countries citing papers authored by Matteo Parma
This map shows the geographic impact of Matteo Parma'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 Matteo Parma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Parma more than expected).
Fields of papers citing papers by Matteo Parma
This network shows the impact of papers produced by Matteo Parma. 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 Matteo Parma. The network helps show where Matteo Parma may publish in the future.
Co-authors
The 25 scholars most cited alongside Matteo Parma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 152 | |
| 2 | 2007 | 125 | |
| 3 | 2009 | 96 | |
| 4 | 2009 | 69 | |
| 5 | 2011 | 66 | |
| 6 | 2009 | 63 | |
| 7 | 2017 | 40 | |
| 8 | 2010 | 31 | |
| 9 | 2005 | 28 | |
| 10 | 2018 | 24 | |
| 11 | 2003 | 21 | |
| 12 | 2019 | 19 | |
| 13 | 2014 | 19 | |
| 14 | 1992 | 19 | |
| 15 | 2018 | 15 | |
| 16 | 2009 | 14 | |
| 17 | 2023 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2000 | 13 | |
| 20 | 2004 | 12 |
About Matteo Parma
Matteo Parma is a scholar working on Hematology, Immunology, Genetics, Molecular Biology and Oncology, having authored 39 papers that have together received 948 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), Immune Cell Function and Interaction (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Epigenetics and DNA Methylation (3 papers), Neutropenia and Cancer Infections (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (423 citations), Immunology (374 citations), Genetics (130 citations), Oncology (240 citations) and Transplantation (19 citations). Matteo Parma has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Andrea Biondi, Paolo Perseghin, Ettore Biagi, Giuseppe Gaipa, Enrico Maria Pogliani, Adriana Balduzzi, Giovanna D’Amico, Erica Dander, Cristina Bugarin and Pietro Pioltelli. Their work appears in journals such as Blood, Transplantation, Haematologica, Leukemia and Journal of Cellular and Molecular Medicine.
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.