Nadia Amara

2k citations
20 papers · 1.6k · h-index 17

Impact in

Papers in

Nadia Amara

19 papers receiving 1.6k citations

Peers

Nadia Amara
Comparison fields: 5 of 90
  • Pathology and Forensic Medicine 464
  • Pulmonary and Respiratory Medicine 296
  • Health, Toxicology and Mutagenesis 120
  • Oncology 134
  • Molecular Biology 283
Replace Yenlin Huang with:
Yenlin Huang Taiwan
Francesca Ferraraccio Italy
Baolin Qu China
Oleksandr N. Kryvenko United States
E Ascari Italy
Yuan Cheng China
Fausto Adami Italy
Masaaki Kawai Japan
Jee Ye Kim South Korea
Nadia Amara relative to Yenlin Huang Taiwan Yenlin Huang's profile →
Citations per field
00.5×1.5×2.2×
Yenlin Huang · 1×
Citations per year

Countries citing papers authored by Nadia Amara

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nadia Amara Line = papers co-authored together Nadia Amara links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2010303
2 2015170
3 2008168
4 2017164
5 2008130
6 201999
7 200791
8 202083
9 200782
10 201678
11 202240
12 201839
13 200836
14
Carbon monoxide reduces the expression and activity of matrix metalloproteinases 1 and 2 in alveolar epithelial cells.
200534
15 202030
16 201824
17 201818
18 201911
19 20195
20 20250

About Nadia Amara

Nadia Amara is a scholar working on Pathology and Forensic Medicine, Oncology, Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Breast Implant and Reconstruction (2 papers), Viral-associated cancers and disorders (2 papers), Air Quality and Health Impacts (2 papers), Breast Lesions and Carcinomas (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (464 citations), Pulmonary and Respiratory Medicine (296 citations), Health, Toxicology and Mutagenesis (120 citations), Oncology (134 citations) and Molecular Biology (283 citations). Nadia Amara has collaborated with scholars based in France, Tunisia and United States. Frequent co-authors include Jorge Boczkowski, Delphine Goven, Bruno Crestani, Fabienne Prost, Sophie Lanone, Lyes Tabet, Véronique Leçon-Malas, Pierre Brousset, Camille Laurent and Rafik Bachoual. Their work appears in journals such as Haematologica, Blood, Thorax, American Journal of Physiology-Lung Cellular and Molecular Physiology and HemaSphere.

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.

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