Marylène Lejeune
- Immunology top 5%
- Oncology top 5%
- Pathology and Forensic Medicine top 2%
- Molecular Biology
- Artificial Intelligence top 10%
- Co-authors
- Ramón BoschTeresa Salvadó-UsachJoaquín JaénTomás ÁlvaroCarlos LópezLluís E. PonsJuan F. Garcı́aMiguel Á. Piris
- Topics
- AI in cancer detection (14 papers)Lymphoma Diagnosis and Treatment (10 papers)Immune Cell Function and Interaction (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologySHILAP Revista de lepidopterología
In The Last Decade
Marylène Lejeune
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 124
- Immunology 745
- Oncology 683
- Pathology and Forensic Medicine 500
- Molecular Biology 259
- Artificial Intelligence 162
Countries citing papers authored by Marylène Lejeune
This map shows the geographic impact of Marylène Lejeune'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 Marylène Lejeune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marylène Lejeune more than expected).
Fields of papers citing papers by Marylène Lejeune
This network shows the impact of papers produced by Marylène Lejeune. 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 Marylène Lejeune. The network helps show where Marylène Lejeune may publish in the future.
Co-authorship network of co-authors of Marylène Lejeune
This figure shows the co-authorship network connecting the top 25 collaborators of Marylène Lejeune. A scholar is included among the top collaborators of Marylène Lejeune 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 Marylène Lejeune. Marylène Lejeune is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | 0 | |
| 7 | 20 | |
| 8 | 4 | |
| 9 | 45 | |
| 10 | 3 | |
| 11 | Oxidative Stress in Patients With Early Stage Chronic Lymphocytic Leukemia, Assessment and Correlation With Prognostic Factors | 6 |
| 12 | 14 | |
| 13 | 8 | |
| 14 | 9 | |
| 15 | 38 | |
| 16 | 67 | |
| 17 | 187 | |
| 18 | 101 | |
| 19 | 14 | |
| 20 | 20 |
About Marylène Lejeune
Marylène Lejeune is a scholar working on Biophysics, Immunology and Oncology, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include AI in cancer detection (14 papers), Lymphoma Diagnosis and Treatment (10 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Immunology (745 citations), Pathology and Forensic Medicine (500 citations) and Oncology (683 citations). Marylène Lejeune has collaborated with scholars based in Spain, Poland and Belgium. Frequent co-authors include Ramón Bosch, Teresa Salvadó-Usach, Joaquín Jaén, Tomás Álvaro, Carlos López, Lluís E. Pons, Juan F. Garcı́a, Miguel Á. Piris, Giovanna Roncador and Carlos Montalbán. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.