Filomena Spada
Impact in
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- Mesenchymal stem cell research
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- Bioinformatics and Genomic Networks
- Muscle Physiology and Disorders
- Gene Regulatory Network Analysis
Papers in
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- Muscle Physiology and Disorders 4
- Glycosylation and Glycoproteins Research 1
- Ubiquitin and proteasome pathways 1
- Genetics 2
- Co-authors
- Gianni Cesareni (6 shared papers)Luisa Castagnoli (5 shared papers)Claudia Fuoco (5 shared papers)Lucia Lisa Petrilli (3 shared papers)Andrea Cerquone Perpetuini (2 shared papers)Milica Marinkovic (2 shared papers)Theodora Pavlidou (2 shared papers)S Pirro (2 shared papers)
- Journals
- Blood (2 papers)Nature Communications (1 paper)Journal of Translational Medicine (1 paper)Breast Cancer Research and Treatment (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Filomena Spada
10 papers receiving 423 citations
Peers
Comparison fields: 5 of 73
- Genetics 43
- Molecular Biology 271
- Computational Theory and Mathematics 33
- Rehabilitation 11
- Physiology 43
Countries citing papers authored by Filomena Spada
This map shows the geographic impact of Filomena Spada'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 Filomena Spada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filomena Spada more than expected).
Fields of papers citing papers by Filomena Spada
This network shows the impact of papers produced by Filomena Spada. 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 Filomena Spada. The network helps show where Filomena Spada may publish in the future.
Co-authors
The 25 scholars most cited alongside Filomena Spada, 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 | 2015 | 168 | |
| 2 | 2017 | 110 | |
| 3 | 2019 | 54 | |
| 4 | 2019 | 24 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 20 | |
| 7 | 2022 | 11 | |
| 8 | 2017 | 9 | |
| 9 | 2016 | 7 | |
| 10 | 2022 | 1 | |
| 11 | 2025 | 0 |
About Filomena Spada
Filomena Spada is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Oncology and Physiology, having authored 11 papers that have together received 425 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), CAR-T cell therapy research (2 papers), Adipose Tissue and Metabolism (2 papers), Cancer Mechanisms and Therapy (1 paper), Glycosylation and Glycoproteins Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Graphene and Nanomaterials Applications (1 paper). The work is most often cited by research in Genetics (43 citations), Molecular Biology (271 citations), Computational Theory and Mathematics (33 citations), Rehabilitation (11 citations) and Physiology (43 citations). Filomena Spada has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Gianni Cesareni, Luisa Castagnoli, Claudia Fuoco, Lucia Lisa Petrilli, Andrea Cerquone Perpetuini, Milica Marinkovic, Theodora Pavlidou, S Pirro, Alberto Calderone and Livia Perfetto. Their work appears in journals such as Blood, Nature Communications, Journal of Translational Medicine, Breast Cancer Research and Treatment and Frontiers in Immunology.
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.