Michele Ceccarelli
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Immunology top 2%
- Co-authors
- Luciano GarofanoStefano Maria PagnottaThaís S. SabedotHoutan NoushmehrIsabella CastiglioniTiago C. SilvaTathiane M. MaltaAntonio Colaprico
- Topics
- Cancer Genomics and Diagnostics (22 papers)Gene expression and cancer classification (19 papers)Cancer Immunotherapy and Biomarkers (18 papers)
- Partner nations
- ItalyUnited StatesQatar
In The Last Decade
Michele Ceccarelli
159 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Molecular Biology 3.6k
- Cancer Research 1.9k
- Oncology 1.5k
- Pulmonary and Respiratory Medicine 1.2k
- Immunology 1.1k
Countries citing papers authored by Michele Ceccarelli
This map shows the geographic impact of Michele Ceccarelli'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 Michele Ceccarelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Ceccarelli more than expected).
Fields of papers citing papers by Michele Ceccarelli
This network shows the impact of papers produced by Michele Ceccarelli. 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 Michele Ceccarelli. The network helps show where Michele Ceccarelli may publish in the future.
Co-authorship network of co-authors of Michele Ceccarelli
This figure shows the co-authorship network connecting the top 25 collaborators of Michele Ceccarelli. A scholar is included among the top collaborators of Michele Ceccarelli 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 Michele Ceccarelli. Michele Ceccarelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 18 | |
| 5 | 42 | |
| 6 | 8 | |
| 7 | 49 | |
| 8 | 7 | |
| 9 | 17 | |
| 10 | 13 | |
| 11 | 16 | |
| 12 | 35 | |
| 13 | 31 | |
| 14 | 128 | |
| 15 | 21 | |
| 16 | 14 | |
| 17 | 31 | |
| 18 | A Guideline Engine For Knowledge Management in Clinical Decision Support Systems (CDSSs). | 2 |
| 19 | A deformable grid approach for Bayesian image registration | 1 |
| 20 | Mapping QR Decomposition on Parallel Computers: A Study Case for Radar Applications | 2 |
About Michele Ceccarelli
Michele Ceccarelli is a scholar working on Cancer Research, Biophysics and Molecular Biology, having authored 170 papers that have together received 6.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (22 papers), Gene expression and cancer classification (19 papers) and Cancer Immunotherapy and Biomarkers (18 papers). The work is most often cited by research in Cancer Research (1.9k citations), Oncology (1.5k citations) and Molecular Biology (3.6k citations). Michele Ceccarelli has collaborated with scholars based in Italy, United States and Qatar. Frequent co-authors include Luciano Garofano, Stefano Maria Pagnotta, Thaís S. Sabedot, Houtan Noushmehr, Isabella Castiglioni, Tiago C. Silva, Tathiane M. Malta, Antonio Colaprico, Catharina Olsen and Claudia Cava. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.
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.