J. Lahmar
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
Papers in
- Oncology 12
- Cancer Immunotherapy and Biomarkers 12
- Lung Cancer Research Studies 4
- Inflammatory Biomarkers in Disease Prognosis 2
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- Lung Cancer Treatments and Mutations 6
- Ferroptosis and cancer prognosis 2
- Co-authors
- David Planchard (14 shared papers)Caroline Caramella (13 shared papers)Laura Mezquita (14 shared papers)Benjamin Besse (14 shared papers)Roberto Ferrara (10 shared papers)Anas Gazzah (7 shared papers)Jean‐Charles Soria (6 shared papers)Samy Ammari (2 shared papers)
In The Last Decade
J. Lahmar
15 papers receiving 338 citations
Peers
Comparison fields: 5 of 27
- Oncology 254
- Pulmonary and Respiratory Medicine 133
- Immunology 60
- Radiology, Nuclear Medicine and Imaging 44
- Cancer Research 25
Countries citing papers authored by J. Lahmar
This map shows the geographic impact of J. Lahmar'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 J. Lahmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Lahmar more than expected).
Fields of papers citing papers by J. Lahmar
This network shows the impact of papers produced by J. Lahmar. 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 J. Lahmar. The network helps show where J. Lahmar may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Lahmar, 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 | 2017 | 248 | |
| 2 | 2017 | 19 | |
| 3 | 2019 | 13 | |
| 4 | 2017 | 12 | |
| 5 | 2016 | 12 | |
| 6 | 2017 | 9 | |
| 7 | 2016 | 9 | |
| 8 | 2017 | 5 | |
| 9 | 2017 | 4 | |
| 10 | 2017 | 4 | |
| 11 | 2017 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 1 | |
| 15 | 2016 | 1 |
About J. Lahmar
J. Lahmar is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Immunology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 15 papers that have together received 344 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Research Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Genomics and Diagnostics (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Oncology (254 citations), Pulmonary and Respiratory Medicine (133 citations), Immunology (60 citations), Radiology, Nuclear Medicine and Imaging (44 citations) and Cancer Research (25 citations). J. Lahmar has collaborated with scholars based in France, Spain and Italy. Frequent co-authors include David Planchard, Caroline Caramella, Laura Mezquita, Benjamin Besse, Roberto Ferrara, Anas Gazzah, Jean‐Charles Soria, Samy Ammari, Aurélien Marabelle and Mélodie Tazdait. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Journal of Thoracic Oncology and European Journal of Cancer.
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.