Aïda Eslami

567 total citations
10 papers, 143 citations indexed

About

Aïda Eslami is a scholar working on Food Science, Analytical Chemistry and Pharmacology. According to data from OpenAlex, Aïda Eslami has authored 10 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Food Science, 3 papers in Analytical Chemistry and 2 papers in Pharmacology. Recurrent topics in Aïda Eslami's work include Spectroscopy and Chemometric Analyses (3 papers), Sensory Analysis and Statistical Methods (3 papers) and Genetic Associations and Epidemiology (2 papers). Aïda Eslami is often cited by papers focused on Spectroscopy and Chemometric Analyses (3 papers), Sensory Analysis and Statistical Methods (3 papers) and Genetic Associations and Epidemiology (2 papers). Aïda Eslami collaborates with scholars based in Canada, France and Norway. Aïda Eslami's co-authors include Stéphanie Bougeard, Kim‐Anh Lê Cao, Florian Rohart, Nicholas Matigian, Achim Köhler, El Mostafa Qannari, Stéphane Legleye, Hasanga D. Manikpurage, Évelyne Vigneau and Patrick Mathieu and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Bioinformatics and Atherosclerosis.

In The Last Decade

Aïda Eslami

10 papers receiving 141 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aïda Eslami Canada	7	54	23	14	12	11	10	143
Irma Dominguez Azpíroz Spain	10	39 0.7×	17 0.7×	12 0.9×	47 3.9×	11 1.0×	21	240
Tongtong Zhu China	9	104 1.9×	8 0.3×	11 0.8×	8 0.7×	11 1.0×	26	189
Jack Pattee United States	9	41 0.8×	30 1.3×	38 2.7×	6 0.5×	8 0.7×	25	223
Shengnan Sun China	10	169 3.1×	28 1.2×	38 2.7×	30 2.5×	14 1.3×	31	313
Deng Zhang China	10	50 0.9×	11 0.5×	6 0.4×	7 0.6×	6 0.5×	38	258
Meng Gao China	8	111 2.1×	22 1.0×	30 2.1×	11 0.9×	13 1.2×	18	217
Zhiyuan Zhang China	8	88 1.6×	9 0.4×	6 0.4×	7 0.6×	14 1.3×	45	242
Hasnae Benkirane Morocco	10	50 0.9×	12 0.5×	9 0.6×	11 0.9×	16 1.5×	31	219
Irina Gaynanova United States	9	104 1.9×	10 0.4×	50 3.6×	29 2.4×	10 0.9×	26	271
Shraddha Nayak India	6	166 3.1×	9 0.4×	17 1.2×	5 0.4×	6 0.5×	17	235

Countries citing papers authored by Aïda Eslami

Since Specialization

Citations

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

Fields of papers citing papers by Aïda Eslami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aïda Eslami

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

All Works

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10 of 10 papers shown

Bougeard, Stéphanie, et al.. (2025). The clinical value and most informative threshold of polygenic risk score in the Quebec City Case-Control Asthma Cohort. BMC Pulmonary Medicine. 25(1). 21–21. 1 indexed citations

Manikpurage, Hasanga D., Jérôme Bourgault, Éloi Gagnon, et al.. (2024). Association of genetically predicted levels of circulating blood lipids with coronary artery disease incidence. Atherosclerosis. 401. 119083–119083. 1 indexed citations

Manikpurage, Hasanga D., et al.. (2023). Contribution of Lipoprotein(a) to Polygenic Risk Prediction of Coronary Artery Disease: A Prospective UK Biobank Analysis. Circulation Genomic and Precision Medicine. 16(5). 470–477. 7 indexed citations

Jopling, Ellen, et al.. (2021). Potential lethality of suicide attempts in youth. European Child & Adolescent Psychiatry. 31(6). 919–927. 3 indexed citations

Villière, Angélique, Ronan Symoneaux, Aïda Eslami, et al.. (2019). Comprehensive sensory and chemical data on the flavor of 16 red wines from two varieties: Sensory descriptive analysis, HS-SPME-GC-MS volatile compounds quantitative analysis, and odor-active compounds identification by HS-SPME-GC-MS-O. SHILAP Revista de lepidopterología. 24. 103725–103725. 14 indexed citations

Rohart, Florian, Aïda Eslami, Nicholas Matigian, Stéphanie Bougeard, & Kim‐Anh Lê Cao. (2017). MINT: a multivariate integrative method to identify reproducible molecular signatures across independent experiments and platforms. BMC Bioinformatics. 18(1). 128–128. 67 indexed citations

Legleye, Stéphane, Aïda Eslami, & Stéphanie Bougeard. (2016). Assessing the structure of the CAST (Cannabis Abuse Screening Test) in 13 European countries using multigroup analyses. International Journal of Methods in Psychiatric Research. 26(1). 6 indexed citations

Eslami, Aïda, El Mostafa Qannari, Achim Köhler, & Stéphanie Bougeard. (2014). Multivariate analysis of multiblock and multigroup data. Chemometrics and Intelligent Laboratory Systems. 133. 63–69. 19 indexed citations

Eslami, Aïda, El Mostafa Qannari, Achim Köhler, & Stéphanie Bougeard. (2014). Algorithms for multi‐group PLS. Journal of Chemometrics. 28(3). 192–201. 9 indexed citations

10.

Eslami, Aïda, et al.. (2011). General overview of methods of analysis of multi-group datasets.. SPIRE - Sciences Po Institutional REpository. 108–123. 16 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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