Nadia Amara

1.8k total citations
16 papers, 873 citations indexed

About

Nadia Amara is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Nadia Amara has authored 16 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Molecular Biology. Recurrent topics in Nadia Amara's work include Lymphoma Diagnosis and Treatment (6 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Viral-associated cancers and disorders (3 papers). Nadia Amara is often cited by papers focused on Lymphoma Diagnosis and Treatment (6 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Viral-associated cancers and disorders (3 papers). Nadia Amara collaborates with scholars based in France, Tunisia and Switzerland. Nadia Amara's co-authors include Jorge Boczkowski, Delphine Goven, Bruno Crestani, Fabienne Prost, Sophie Lanone, Lyes Tabet, Michel Aubier, Rafik Bachoual, Camille Laurent and Mathieu Desmard and has published in prestigious journals such as Blood, American Journal Of Pathology and Thorax.

In The Last Decade

Nadia Amara

16 papers receiving 858 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nadia Amara France	12	240	189	149	144	138	16	873
Xin He China	19	272 1.1×	368 1.9×	61 0.4×	161 1.1×	128 0.9×	115	1.2k
Yi Xie China	19	188 0.8×	863 4.6×	35 0.2×	122 0.8×	67 0.5×	77	1.4k
Changjiang Liu China	23	69 0.3×	517 2.7×	150 1.0×	132 0.9×	69 0.5×	91	1.3k
Hongbo Yang China	19	72 0.3×	762 4.0×	72 0.5×	77 0.5×	209 1.5×	58	1.5k
Hongli Wang China	19	211 0.9×	369 2.0×	16 0.1×	78 0.5×	59 0.4×	145	1.4k
Gong Zhang China	14	165 0.7×	315 1.7×	29 0.2×	270 1.9×	118 0.9×	53	857
Shaoyan Liu China	20	123 0.5×	410 2.2×	68 0.5×	155 1.1×	74 0.5×	127	1.3k
Lan Li China	18	54 0.2×	200 1.1×	109 0.7×	49 0.3×	86 0.6×	45	963
Xinyao Hu China	17	144 0.6×	414 2.2×	92 0.6×	102 0.7×	233 1.7×	61	1.1k
Qin Zhu China	18	88 0.4×	301 1.6×	26 0.2×	151 1.0×	200 1.4×	89	993

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-authorship network of co-authors of Nadia Amara

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Amara. A scholar is included among the top collaborators of Nadia Amara 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 Nadia Amara. Nadia Amara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Syrykh, Charlotte, Elsa Poullot, Nadia Amara, et al.. (2022). Lymph node excisions provide more precise lymphoma diagnoses than core biopsies: a French Lymphopath network survey. Blood. 140(24). 2573–2583. 28 indexed citations

Syrykh, Charlotte, Nadia Amara, Aurore Siegfried, et al.. (2020). Accurate diagnosis of lymphoma on whole-slide histopathology images using deep learning. npj Digital Medicine. 3(1). 63–63. 67 indexed citations

Evrard, Solène, Sarah Péricart, David Grand, et al.. (2019). Targeted next generation sequencing reveals high mutation frequency of CREBBP, BCL2 and KMT2D in high-grade B cell lymphoma with MYC and BCL2 and/or BCL6 rearrangements. Morphologie. 103(342). 80–81. 8 indexed citations

Brousset, Pierre, et al.. (2019). DIAGNOSIS AND CLASSIFICATION ASSISTANCE FROM LYMPHOMA MICROSCOPIC IMAGES USING DEEP LEARNING. Hematological Oncology. 37(S2). 138–138. 6 indexed citations

Péricart, Sarah, Charlotte Syrykh, Nadia Amara, et al.. (2019). Exclusive B‐cell phenotype of primary prostatic lymphomas: a potential role of chronic prostatitis. Histopathology. 76(5). 767–773. 6 indexed citations

Gravelle, Pauline, Sarah Péricart, Marie Tosolini, et al.. (2018). EBV infection determines the immune hallmarks of plasmablastic lymphoma. OncoImmunology. 7(10). e1486950–e1486950. 21 indexed citations

Péricart, Sarah, Marie Tosolini, Pauline Gravelle, et al.. (2018). Profiling Immune Escape in Hodgkin’s and Diffuse large B-Cell Lymphomas Using the Transcriptome and Immunostaining. Cancers. 10(11). 415–415. 17 indexed citations

Laurent, Camille, Bettina Fabiani, Catherine Do, et al.. (2016). Immune-checkpoint expression in Epstein-Barr virus positive and negative plasmablastic lymphoma: a clinical and pathological study in 82 patients. Haematologica. 101(8). 976–984. 67 indexed citations

Amara, Nadia, et al.. (2016). In vitro, Alternative Methods to the Biological Control of the Aphids by Entomopathogenic Fungi Beauveria bassiana Isolates from Gaza Strip. International Journal of Current Microbiology and Applied Sciences. 5(10). 537–543. 2 indexed citations

10.

Amara, Nadia, Franck Tourniaire, Marie Maraninchi, et al.. (2014). Independent positive association of plasma β-carotene concentrations with adiponectin among non-diabetic obese subjects. European Journal of Nutrition. 54(3). 447–454. 29 indexed citations

11.

Amara, Nadia, et al.. (2010). NOX4/NADPH oxidase expression is increased in pulmonary fibroblasts from patients with idiopathic pulmonary fibrosis and mediates TGF 1-induced fibroblast differentiation into myofibroblasts. Thorax. 65(8). 733–738. 278 indexed citations

12.

Tabet, Lyes, Cyrill Bussy, Nadia Amara, et al.. (2008). Adverse Effects of Industrial Multiwalled Carbon Nanotubes on Human Pulmonary Cells. Journal of Toxicology and Environmental Health. 72(2). 60–73. 117 indexed citations

13.

Almolki, Abdelhamid, Armelle Guénégou, Sławomir Gołda, et al.. (2008). Heme Oxygenase-1 Prevents Airway Mucus Hypersecretion Induced by Cigarette Smoke in Rodents and Humans. American Journal Of Pathology. 173(4). 981–992. 35 indexed citations

14.

Amara, Nadia, Rafik Bachoual, Mathieu Desmard, et al.. (2007). Diesel exhaust particles induce matrix metalloprotease-1 in human lung epithelial cells via a NADP(H) oxidase/NOX4 redox-dependent mechanism. American Journal of Physiology-Lung Cellular and Molecular Physiology. 293(1). L170–L181. 75 indexed citations

15.

Bachoual, Rafik, Jorge Boczkowski, Delphine Goven, et al.. (2007). Biological Effects of Particles from the Paris Subway System. Chemical Research in Toxicology. 20(10). 1426–1433. 85 indexed citations

16.

Desmard, Mathieu, Nadia Amara, Sophie Lanone, Roberto Motterlini, & Jorge Boczkowski. (2005). Carbon monoxide reduces the expression and activity of matrix metalloproteinases 1 and 2 in alveolar epithelial cells.. PubMed. 51(4). 403–8. 32 indexed citations

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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