Nadia Amara
Impact in
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- Air Quality and Health Impacts
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
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- Lymphoma Diagnosis and Treatment 6
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- Chronic Obstructive Pulmonary Disease (COPD) Research 3
- Co-authors
- Jorge Boczkowski (6 shared papers)Delphine Goven (2 shared papers)Fabienne Prost (1 shared paper)Bruno Crestani (1 shared paper)Sophie Lanone (5 shared papers)Lyes Tabet (2 shared papers)Rafik Bachoual (3 shared papers)Michel Aubier (3 shared papers)
In The Last Decade
Nadia Amara
16 papers receiving 868 citations
Peers
Comparison fields: 5 of 104
- Health, Toxicology and Mutagenesis 141
- Pathology and Forensic Medicine 125
- Pulmonary and Respiratory Medicine 213
- Immunology 127
- Oncology 129
Countries citing papers authored by Nadia Amara
This map shows the geographic impact of Nadia Amara'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 Nadia Amara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Amara more than expected).
Fields of papers citing papers by Nadia Amara
This network shows the impact of papers produced by Nadia Amara. 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 Nadia Amara. The network helps show where Nadia Amara may publish in the future.
Co-authors
The 25 scholars most cited alongside Nadia Amara, 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 | 2010 | 279 | |
| 2 | 2008 | 117 | |
| 3 | 2007 | 86 | |
| 4 | 2007 | 75 | |
| 5 | 2020 | 69 | |
| 6 | 2016 | 68 | |
| 7 | 2008 | 35 | |
| 8 | Carbon monoxide reduces the expression and activity of matrix metalloproteinases 1 and 2 in alveolar epithelial cells. | 2005 | 32 |
| 9 | 2022 | 30 | |
| 10 | 2014 | 29 | |
| 11 | 2018 | 21 | |
| 12 | 2018 | 17 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2016 | 2 |
About Nadia Amara
Nadia Amara is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Health, Toxicology and Mutagenesis and Oncology, having authored 16 papers that have together received 880 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Viral-associated cancers and disorders (2 papers), Air Quality and Health Impacts (2 papers), Immune Cell Function and Interaction (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (141 citations), Pathology and Forensic Medicine (125 citations), Pulmonary and Respiratory Medicine (213 citations), Immunology (127 citations) and Oncology (129 citations). Nadia Amara has collaborated with scholars based in France, Tunisia and Poland. Frequent co-authors include Jorge Boczkowski, Delphine Goven, Fabienne Prost, Bruno Crestani, Sophie Lanone, Lyes Tabet, Rafik Bachoual, Michel Aubier, Camille Laurent and Mathieu Desmard. Their work appears in journals such as Thorax, European Journal of Nutrition, Journal of Toxicology and Environmental Health, Blood and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.