Arsela Prelaj
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 30
- Lung Cancer Research Studies 23
- Inflammatory Biomarkers in Disease Prognosis 9
- Colorectal Cancer Treatments and Studies 8
- HER2/EGFR in Cancer Research 7
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- Lung Cancer Treatments and Mutations 34
- Lung Cancer Diagnosis and Treatment 8
- Health Informatics top 10%
- Internal Medicine top 10%
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- Radiomics and Machine Learning in Medical Imaging 7
- Co-authors
- Roberto FerraraRaffaele CalifanoRebecca TayBenjamin BesseMarina Chiara GarassinoNathalie ChaputDiego SignorelliGiuseppe Lo Russo
- Journals
- Journal of Clinical Oncology (5 papers)SHILAP Revista de lepidopterología (3 papers)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Arsela Prelaj
76 papers receiving 1000 citations
Peers
Comparison fields: 5 of 90
- Oncology 677
- Pulmonary and Respiratory Medicine 521
- Health Informatics 21
- Cancer Research 152
- Internal Medicine 32
Countries citing papers authored by Arsela Prelaj
This map shows the geographic impact of Arsela Prelaj'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 Arsela Prelaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arsela Prelaj more than expected).
Fields of papers citing papers by Arsela Prelaj
This network shows the impact of papers produced by Arsela Prelaj. 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 Arsela Prelaj. The network helps show where Arsela Prelaj may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arsela Prelaj, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 34 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 33 | |
| 11 | 2022 | 19 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 5 | |
| 14 | 2021 | 40 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 24 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 8 | |
| 19 | 2021 | 6 | |
| 20 | 2021 | 15 |
About Arsela Prelaj
Arsela Prelaj is a scholar working on Health Informatics, Oncology and Pulmonary and Respiratory Medicine, having authored 82 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (34 papers), Cancer Immunotherapy and Biomarkers (30 papers), Lung Cancer Research Studies (23 papers), Inflammatory Biomarkers in Disease Prognosis (9 papers), Lung Cancer Diagnosis and Treatment (8 papers), Colorectal Cancer Treatments and Studies (8 papers), HER2/EGFR in Cancer Research (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). The work is most often cited by research in Oncology (677 citations), Pulmonary and Respiratory Medicine (521 citations) and Health Informatics (21 citations). Arsela Prelaj has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Roberto Ferrara, Raffaele Califano, Rebecca Tay, Benjamin Besse, Marina Chiara Garassino, Nathalie Chaput, Diego Signorelli, Giuseppe Lo Russo, Claudia Proto and Giulia Galli. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.
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.