Marta Coscia
Impact in
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Genetics 126
- Chronic Lymphocytic Leukemia Research 125
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- Lymphoma Diagnosis and Treatment 69
- Co-authors
- Mario Boccadoro (22 shared papers)Massimo Massaia (24 shared papers)Candida Vitale (37 shared papers)Silvia Deaglio (22 shared papers)Gianluca Gaïdano (22 shared papers)Davide Rossi (20 shared papers)Sara Serra (15 shared papers)Giovanni Francesco D'Arena (18 shared papers)
- Journals
- Blood (31 papers)Leukemia (15 papers)Haematologica (15 papers)Hematological Oncology (12 papers)American Journal of Hematology (11 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Marta Coscia
161 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 108
- Genetics 1.8k
- Immunology 1.7k
- Hematology 642
- Pathology and Forensic Medicine 963
- Oncology 1.3k
Countries citing papers authored by Marta Coscia
This map shows the geographic impact of Marta Coscia'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 Marta Coscia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Coscia more than expected).
Fields of papers citing papers by Marta Coscia
This network shows the impact of papers produced by Marta Coscia. 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 Marta Coscia. The network helps show where Marta Coscia may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Coscia, 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 167 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 234 | |
| 2 | 2007 | 232 | |
| 3 | 2020 | 216 | |
| 4 | 2013 | 200 | |
| 5 | 2015 | 187 | |
| 6 | 2014 | 158 | |
| 7 | 1999 | 134 | |
| 8 | 2011 | 127 | |
| 9 | 2005 | 118 | |
| 10 | 2013 | 99 | |
| 11 | 2019 | 75 | |
| 12 | 2021 | 75 | |
| 13 | 2020 | 67 | |
| 14 | 2011 | 65 | |
| 15 | 2015 | 62 | |
| 16 | 2011 | 58 | |
| 17 | 2012 | 56 | |
| 18 | 2020 | 56 | |
| 19 | 2023 | 56 | |
| 20 | 2008 | 55 |
About Marta Coscia
Marta Coscia is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Hematology and Oncology, having authored 167 papers that have together received 4.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (125 papers), Lymphoma Diagnosis and Treatment (69 papers), Immunodeficiency and Autoimmune Disorders (43 papers), Immune Cell Function and Interaction (18 papers), Advanced Breast Cancer Therapies (15 papers), T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (13 papers) and Multiple Myeloma Research and Treatments (9 papers). The work is most often cited by research in Genetics (1.8k citations), Immunology (1.7k citations), Hematology (642 citations), Pathology and Forensic Medicine (963 citations) and Oncology (1.3k citations). Marta Coscia has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Mario Boccadoro, Massimo Massaia, Candida Vitale, Silvia Deaglio, Gianluca Gaïdano, Davide Rossi, Sara Serra, Giovanni Francesco D'Arena, Myriam Foglietta and Giorgio Inghirami. Their work appears in journals such as Blood, Leukemia, Haematologica, Hematological Oncology and American Journal of Hematology.
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.