Nadia Bouchemal

1.2k total citations · 1 hit paper
19 papers, 966 citations indexed

About

Nadia Bouchemal is a scholar working on Molecular Biology, Epidemiology and Spectroscopy. According to data from OpenAlex, Nadia Bouchemal has authored 19 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Spectroscopy. Recurrent topics in Nadia Bouchemal's work include Metabolomics and Mass Spectrometry Studies (9 papers), DNA and Nucleic Acid Chemistry (3 papers) and RNA and protein synthesis mechanisms (3 papers). Nadia Bouchemal is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (9 papers), DNA and Nucleic Acid Chemistry (3 papers) and RNA and protein synthesis mechanisms (3 papers). Nadia Bouchemal collaborates with scholars based in France, Australia and Portugal. Nadia Bouchemal's co-authors include Mohamed N. Triba, Laurence Le Moyec, Philippe Savarin, Roland Amathieu, Pierre Nahon, Corentine Goossens, Douglas N. Rutledge, Edith Hantz, Brigitte Hartmann and C. Hervé Du Penhoat and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Cancer Research.

In The Last Decade

Nadia Bouchemal

19 papers receiving 957 citations

Hit Papers

PLS/OPLS models in metabolomics: the impact of permutatio... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers

Nadia Bouchemal
Nadia Bouchemal
Citations per year, relative to Nadia Bouchemal Nadia Bouchemal (= 1×) peers Hiromi Murakami

Countries citing papers authored by Nadia Bouchemal

Since Specialization
Citations

This map shows the geographic impact of Nadia Bouchemal'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 Bouchemal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadia Bouchemal more than expected).

Fields of papers citing papers by Nadia Bouchemal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia Bouchemal. 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 Bouchemal. The network helps show where Nadia Bouchemal may publish in the future.

Co-authorship network of co-authors of Nadia Bouchemal

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

All Works

19 of 19 papers shown
1.
Demidem, Aïcha, Adrien Rossary, Nadia Bouchemal, et al.. (2021). NMR metabolomic profiles associated with long-term risk of prostate cancer. Metabolomics. 17(3). 32–32. 13 indexed citations
2.
Moyec, Laurence Le, Céline Robert, Mohamed N. Triba, et al.. (2019). A First Step Toward Unraveling the Energy Metabolism in Endurance Horses: Comparison of Plasma Nuclear Magnetic Resonance Metabolomic Profiles Before and After Different Endurance Race Distances. Frontiers in Molecular Biosciences. 6. 45–45. 19 indexed citations
3.
Liu, Zhicheng, Mohamed N. Triba, Roland Amathieu, et al.. (2019). Nuclear magnetic resonance-based serum metabolomic analysis reveals different disease evolution profiles between septic shock survivors and non-survivors. Critical Care. 23(1). 169–169. 35 indexed citations
4.
Lécuyer, Lucie, Mélanie Deschasaux, Nadia Bouchemal, et al.. (2018). Abstract P1-02-01: NMR metabolomic signatures reveal predictive plasma metabolites associated with long-term risk of developing breast cancer. Cancer Research. 78(4_Supplement). P1–2. 1 indexed citations
5.
Moyec, Laurence Le, Mohamed N. Triba, Pierre Nahon, et al.. (2017). Nuclear magnetic resonance metabolomics and human liver diseases: The principles and evidence associated with protein and carbohydrate metabolism. Biomedical Reports. 6(4). 387–395. 9 indexed citations
6.
Goossens, Corentine, Pierre Nahon, Laurence Le Moyec, et al.. (2016). Sequential Serum Metabolomic Profiling after Radiofrequency Ablation of Hepatocellular Carcinoma Reveals Different Response Patterns According to Etiology. Journal of Proteome Research. 15(5). 1446–1454. 9 indexed citations
7.
Moyec, Laurence Le, Éric Barrey, Mohamed N. Triba, et al.. (2015). Energetics of endurance exercise in young horses determined by nuclear magnetic resonance metabolomics. Frontiers in Physiology. 6. 198–198. 22 indexed citations
8.
Triba, Mohamed N., Laurence Le Moyec, Roland Amathieu, et al.. (2014). PLS/OPLS models in metabolomics: the impact of permutation of dataset rows on the K-fold cross-validation quality parameters. Molecular BioSystems. 11(1). 13–19. 512 indexed citations breakdown →
9.
Milhaud, J., Nadia Bouchemal, Tomasz Róg, & Edith Hantz. (2010). Deuteration of Water Enables Self‐Organization of Phospholipid‐Based Reverse Micelles. ChemPhysChem. 11(3). 590–598. 5 indexed citations
10.
Triba, Mohamed N., Anna Starzec, Nadia Bouchemal, et al.. (2010). Metabolomic profiling with NMR discriminates between biphosphonate and doxorubicin effects on B16 melanoma cells. NMR in Biomedicine. 23(9). 1009–1016. 26 indexed citations
11.
Garnier‐Suillerot, Arlette, et al.. (2009). Accumulation of Eu3+ chelates in cells expressing or not P-glycoprotein: Implications for blood–brain barrier crossing. Journal of Inorganic Biochemistry. 104(1). 47–54. 8 indexed citations
13.
Bouchemal, Nadia, et al.. (2006). Solution structure of a purine rich hexaloop hairpin belonging to PGY/MDR1 mRNA and targeted by antisense oligonucleotides. Nucleic Acids Research. 34(20). 5740–5751. 6 indexed citations
14.
Heddi, Brahim, Nicolas Foloppe, Nadia Bouchemal, Edith Hantz, & Brigitte Hartmann. (2006). Quantification of DNA BI/BII Backbone States in Solution. Implications for DNA Overall Structure and Recognition. Journal of the American Chemical Society. 128(28). 9170–9177. 90 indexed citations
15.
Bouchemal, Nadia, et al.. (2005). NMR and molecular modelling studies of an RNA hairpin containing a G-rich hexaloop. Comptes Rendus Chimie. 9(3-4). 426–432. 1 indexed citations
16.
Demicheli, Cynthia, Leonardo S. Santos, Cláudio Santos Ferreira, et al.. (2005). Synthesis and characterization of Sb(V)–adenosine and Sb(V)–guanosine complexes in aqueous solution. Inorganica Chimica Acta. 359(1). 159–167. 15 indexed citations
17.
Percot, Aline, Robert Coudert, Pascal Reynier, et al.. (2004). A hydroxyethylated cholesterol-based cationic lipid for DNA delivery: effect of conditioning. International Journal of Pharmaceutics. 278(1). 143–163. 45 indexed citations
18.
Reynier, Pascal, Robert Coudert, George Z. Fadda, et al.. (2004). Modifications in the Head Group and in the Spacer of Cholesterol-based Cationic Lipids Promote Transfection in Melanoma B16-F10 Cells and Tumours. Journal of drug targeting. 12(1). 25–38. 22 indexed citations
19.
Imberty, Anne, et al.. (1994). Modeling of arabinofuranose and arabinan, II. Nmr and Conformational analysis of arabinobiose and arabinan. Biopolymers. 34(10). 1433–1447. 36 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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