Haya Al‐Saud

17 total papers · 2.6k total citations
12 papers, 210 citations indexed

About

Haya Al‐Saud is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Haya Al‐Saud has authored 12 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Haya Al‐Saud's work include SARS-CoV-2 and COVID-19 Research (3 papers), Genetic Associations and Epidemiology (2 papers) and COVID-19 Clinical Research Studies (2 papers). Haya Al‐Saud is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Genetic Associations and Epidemiology (2 papers) and COVID-19 Clinical Research Studies (2 papers). Haya Al‐Saud collaborates with scholars based in Saudi Arabia and United Arab Emirates. Haya Al‐Saud's co-authors include Osama Alsmadi, Brian F. Meyer, Fadi Alkayal, Khalid Al‐Rubeaan, Nasser M. Al‐Daghri, Gamal Mohamed, Salma M. Wakil, Faiqa Imtiaz, Fowzan S. Alkuraya and Khushnooda Ramzan and has published in prestigious journals such as The FASEB Journal, Journal of Allergy and Clinical Immunology and Gene.

In The Last Decade

Haya Al‐Saud

12 papers receiving 203 citations

Author Peers

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

Author Last Decade Papers Cites
Haya Al‐Saud 108 94 47 41 21 12 210
Ana Vega 105 1.0× 140 1.5× 27 0.6× 47 1.1× 6 0.3× 12 269
Naeimeh Tayebi 89 0.8× 90 1.0× 47 1.0× 19 0.5× 4 0.2× 10 216
Michelle E. Leonard 97 0.9× 157 1.7× 28 0.6× 11 0.3× 9 0.4× 10 264
Abhiram Rao 126 1.2× 121 1.3× 39 0.8× 23 0.6× 5 0.2× 12 291
Clemens Freiberg 121 1.1× 134 1.4× 64 1.4× 64 1.6× 4 0.2× 15 284
Yuzhu Tang 40 0.4× 78 0.8× 50 1.1× 13 0.3× 5 0.2× 11 221
Barbara Sibbles 70 0.6× 118 1.3× 70 1.5× 13 0.3× 7 0.3× 12 279
Hye‐Young Nam 81 0.8× 78 0.8× 82 1.7× 30 0.7× 3 0.1× 11 219
A. de la Chapelle 77 0.7× 109 1.2× 53 1.1× 18 0.4× 4 0.2× 16 258
Ewa Goljan 81 0.8× 90 1.0× 41 0.9× 30 0.7× 3 0.1× 9 217

Countries citing papers authored by Haya Al‐Saud

Since Specialization
Citations

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

Fields of papers citing papers by Haya Al‐Saud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haya Al‐Saud. 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 Haya Al‐Saud. The network helps show where Haya Al‐Saud may publish in the future.

Co-authorship network of co-authors of Haya Al‐Saud

This figure shows the co-authorship network connecting the top 25 collaborators of Haya Al‐Saud. A scholar is included among the top collaborators of Haya Al‐Saud 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 Haya Al‐Saud. Haya Al‐Saud 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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