Noha A. Yousri

127 total papers · 4.0k total citations
45 papers, 1.0k citations indexed

About

Noha A. Yousri is a scholar working on Molecular Biology, Artificial Intelligence and Physiology. According to data from OpenAlex, Noha A. Yousri has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Artificial Intelligence and 8 papers in Physiology. Recurrent topics in Noha A. Yousri's work include Metabolomics and Mass Spectrometry Studies (10 papers), Gene expression and cancer classification (8 papers) and Bioinformatics and Genomic Networks (7 papers). Noha A. Yousri is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Gene expression and cancer classification (8 papers) and Bioinformatics and Genomic Networks (7 papers). Noha A. Yousri collaborates with scholars based in Egypt, Qatar and United States. Noha A. Yousri's co-authors include Karsten Suhre, Mohamed A. Ismail, Mohamed S. Kamel, Costas Georgakopoulos, Francesco Botrè, Francesco Donati, Fatima Al‐Khelaifi, Mohamed A. Elrayess, Nagwa El-Makky and Ilhame Diboun and has published in prestigious journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Noha A. Yousri

43 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Noha A. Yousri	559	250	127	122	99	45	1.0k
Daniel Ziemek	494 0.9×	154 0.6×	125 1.0×	131 1.1×	60 0.6×	34	1.2k
Richard C. McEachin	659 1.2×	73 0.3×	90 0.7×	142 1.2×	81 0.8×	30	1.2k
Konstantinos Sidiropoulos	638 1.1×	100 0.4×	69 0.5×	92 0.8×	102 1.0×	23	1.2k
Paolo Tieri	460 0.8×	157 0.6×	39 0.3×	85 0.7×	100 1.0×	46	1.2k
Mandar Joshi	282 0.5×	209 0.8×	109 0.9×	28 0.2×	126 1.3×	46	1.2k
Zejun Ma	470 0.8×	77 0.3×	85 0.7×	35 0.3×	170 1.7×	54	1.0k
Heng Pan	511 0.9×	92 0.4×	84 0.7×	85 0.7×	147 1.5×	36	1.2k
Ernst R. Dow	478 0.9×	63 0.3×	123 1.0×	113 0.9×	51 0.5×	41	1.0k
Amy Wang	429 0.8×	152 0.6×	57 0.4×	78 0.6×	236 2.4×	19	858
Shuyuan Li	571 1.0×	77 0.3×	56 0.4×	97 0.8×	119 1.2×	89	1.2k

Countries citing papers authored by Noha A. Yousri

Since Specialization

Citations

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

Fields of papers citing papers by Noha A. Yousri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noha A. Yousri. 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 Noha A. Yousri. The network helps show where Noha A. Yousri may publish in the future.

Co-authorship network of co-authors of Noha A. Yousri

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

All Works

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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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