Sara El Oud

932 total citations · 1 hit paper
7 papers, 548 citations indexed

About

Sara El Oud is a scholar working on Molecular Biology, Health and Sociology and Political Science. According to data from OpenAlex, Sara El Oud has authored 7 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Health and 2 papers in Sociology and Political Science. Recurrent topics in Sara El Oud's work include Misinformation and Its Impacts (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Corneal surgery and disorders (2 papers). Sara El Oud is often cited by papers focused on Misinformation and Its Impacts (2 papers), Vaccine Coverage and Hesitancy (2 papers) and Corneal surgery and disorders (2 papers). Sara El Oud collaborates with scholars based in United States, Lebanon and Bulgaria. Sara El Oud's co-authors include Nicolás Velásquez, Nicholas J. Restrepo, Neil F. Johnson, Nicholas Gabriel, Rhys Leahy, Yonatan Lupu, Minzhang Zheng, Pedro D. Manrique, Stefan Wuchty and Richard Sear and has published in prestigious journals such as Nature, Physical Review Letters and Scientific Reports.

In The Last Decade

Sara El Oud

6 papers receiving 512 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The online competition between pro- and anti-vaccination views

2020 421 citations Neil F. Johnson, Nicolás Velásquez et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sara El Oud United States	5	326	283	121	94	57	7	548
Nicholas Gabriel United States	4	362 1.1×	286 1.0×	147 1.2×	94 1.0×	57 1.0×	6	557
Rhys Leahy United States	7	481 1.5×	322 1.1×	231 1.9×	100 1.1×	63 1.1×	10	751
Nicholas J. Restrepo United States	8	497 1.5×	326 1.2×	234 1.9×	101 1.1×	68 1.2×	15	775
Mohammad Ariful Islam Bangladesh	6	448 1.4×	201 0.7×	126 1.0×	83 0.9×	60 1.1×	17	714
Nicolás Velásquez United States	10	565 1.7×	329 1.2×	245 2.0×	105 1.1×	68 1.2×	15	891
Tonmoy Sarkar Australia	2	636 2.0×	437 1.5×	167 1.4×	204 2.2×	127 2.2×	4	1.0k
Abu-Hena Mostofa Kamal Australia	6	646 2.0×	458 1.6×	167 1.4×	215 2.3×	140 2.5×	7	1.1k
Sazzad Hossain Khan Bangladesh	5	640 2.0×	457 1.6×	167 1.4×	214 2.3×	140 2.5×	8	1.0k
S. M. Murshid Hasan Bangladesh	7	645 2.0×	457 1.6×	167 1.4×	256 2.7×	144 2.5×	11	1.1k
Afif Kraitem United States	5	459 1.4×	174 0.6×	153 1.3×	27 0.3×	50 0.9×	8	642

Countries citing papers authored by Sara El Oud

Since Specialization

Citations

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

Fields of papers citing papers by Sara El Oud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara El Oud. 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 Sara El Oud. The network helps show where Sara El Oud may publish in the future.

Co-authorship network of co-authors of Sara El Oud

This figure shows the co-authorship network connecting the top 25 collaborators of Sara El Oud. A scholar is included among the top collaborators of Sara El Oud 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 Sara El Oud. Sara El Oud 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:

7 of 7 papers shown

1.

Manrique, Pedro D., et al.. (2024). Non-equilibrium physics of multi-species assembly applied to fibrils inhibition in biomolecular condensates and growth of online distrust. Scientific Reports. 14(1). 21911–21911.

2.

Manrique, Pedro D., et al.. (2023). Shockwavelike Behavior across Social Media. Physical Review Letters. 130(23). 237401–237401. 4 indexed citations

3.

Yang, Shu, Ya Zhang, Xuefeng Wu, et al.. (2021). Competitive coordination of the dual roles of the Hedgehog co-receptor in homophilic adhesion and signal reception. eLife. 10. 9 indexed citations

4.

Sear, Richard, Nicolás Velásquez, Rhys Leahy, et al.. (2020). Quantifying COVID-19 Content in the Online Health Opinion War Using Machine Learning. IEEE Access. 8. 91886–91893. 84 indexed citations

5.

Johnson, Neil F., Nicolás Velásquez, Nicholas J. Restrepo, et al.. (2020). The online competition between pro- and anti-vaccination views. Nature. 582(7811). 230–233. 421 indexed citations breakdown →

6.

Dhaini, Ahmad R., Maamoun Abdul Fattah, Sara El Oud, & Shady T. Awwad. (2018). Automated Detection and Classification of Corneal Haze Using Optical Coherence Tomography in Patients With Keratoconus After Cross-Linking. Cornea. 37(7). 863–869. 14 indexed citations

7.

Dhaini, Ahmad R., et al.. (2018). Automated Detection and Measurement of Corneal Haze and Demarcation Line in Spectral-Domain Optical Coherence Tomography Images. IEEE Access. 6. 3977–3991. 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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