Sarah ElShal

731 total citations
8 papers, 173 citations indexed

About

Sarah ElShal is a scholar working on Molecular Biology, Ecology and Toxicology. According to data from OpenAlex, Sarah ElShal has authored 8 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Ecology and 1 paper in Toxicology. Recurrent topics in Sarah ElShal's work include Bioinformatics and Genomic Networks (5 papers), Machine Learning in Bioinformatics (3 papers) and Gene expression and cancer classification (3 papers). Sarah ElShal is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Machine Learning in Bioinformatics (3 papers) and Gene expression and cancer classification (3 papers). Sarah ElShal collaborates with scholars based in Belgium, France and United States. Sarah ElShal's co-authors include Yves Moreau, Léon-Charles Tranchevent, Amin Ardeshirdavani, Jan Aerts, Didier Auboeuf, Alejandro Sifrim, Jesse Davis, Pooya Zakeri, Ádám Arany and Jaak Simm and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Drug Safety.

In The Last Decade

Sarah ElShal

8 papers receiving 168 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah ElShal Belgium	5	125	32	18	17	11	8	173
Fatma-Elzahraa Eid Egypt	4	126 1.0×	45 1.4×	18 1.0×	9 0.5×	8 0.7×	5	169
Eric Venner United States	10	165 1.3×	76 2.4×	36 2.0×	19 1.1×	7 0.6×	20	264
Jiwen Xin United States	5	111 0.9×	32 1.0×	15 0.8×	9 0.5×	7 0.6×	9	154
Amin Allahyar Netherlands	7	261 2.1×	28 0.9×	6 0.3×	15 0.9×	11 1.0×	12	292
Yotam Frank Israel	2	96 0.8×	11 0.3×	14 0.8×	11 0.6×	4 0.4×	2	146
Marouen Ben Guebila United States	9	141 1.1×	14 0.4×	15 0.8×	7 0.4×	4 0.4×	18	180
Borisas Bursteinas United Kingdom	5	135 1.1×	19 0.6×	19 1.1×	13 0.8×	9 0.8×	8	167
Hema Bye‐A‐Jee United Kingdom	5	251 2.0×	30 0.9×	17 0.9×	16 0.9×	7 0.6×	7	288
Anna Swan United Kingdom	3	152 1.2×	16 0.5×	10 0.6×	27 1.6×	3 0.3×	5	239
Siguo Wang China	7	210 1.7×	17 0.5×	16 0.9×	15 0.9×	5 0.5×	20	231

Countries citing papers authored by Sarah ElShal

Since Specialization

Citations

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

Fields of papers citing papers by Sarah ElShal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah ElShal

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

ElShal, Sarah, et al.. (2022). Industry Perspective on Artificial Intelligence/Machine Learning in Pharmacovigilance. Drug Safety. 45(5). 439–448. 20 indexed citations

2.

Zakeri, Pooya, Jaak Simm, Ádám Arany, Sarah ElShal, & Yves Moreau. (2018). Gene prioritization using Bayesian matrix factorization with genomic and phenotypic side information. Bioinformatics. 34(13). i447–i456. 22 indexed citations

3.

Tranchevent, Léon-Charles, Amin Ardeshirdavani, Sarah ElShal, et al.. (2016). Candidate gene prioritization with Endeavour. Nucleic Acids Research. 44(W1). W117–W121. 72 indexed citations

4.

ElShal, Sarah, et al.. (2016). Topic modeling of biomedical text. Lirias (KU Leuven). 712–716. 2 indexed citations

5.

Zakeri, Pooya, Jaak Simm, Ádám Arany, Sarah ElShal, & Yves Moreau. (2015). Gene Prioritization through Bayesian matrix factorization. Lirias (KU Leuven). 1 indexed citations

6.

ElShal, Sarah, Léon-Charles Tranchevent, Alejandro Sifrim, et al.. (2015). Beegle:from literature mining to disease-gene discovery. Nucleic Acids Research. 44(2). e18–e18. 47 indexed citations

7.

Zakeri, Pooya, Sarah ElShal, & Yves Moreau. (2015). Gene prioritization through geometric-inspired kernel data fusion. Lirias (KU Leuven). 1559–1565. 6 indexed citations

8.

ElShal, Sarah. (2015). Beegle: from literature mining to disease gene discovery. Faculty of 1000 Research Ltd. 4. 3 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.

Explore authors with similar magnitude of impact