Hala Taha

107 total papers · 1.5k total citations
60 papers, 492 citations indexed

About

Hala Taha is a scholar working on Genetics, Epidemiology and Molecular Biology. According to data from OpenAlex, Hala Taha has authored 60 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 14 papers in Epidemiology and 13 papers in Molecular Biology. Recurrent topics in Hala Taha's work include Glioma Diagnosis and Treatment (20 papers), Meningioma and schwannoma management (7 papers) and Neuroblastoma Research and Treatments (6 papers). Hala Taha is often cited by papers focused on Glioma Diagnosis and Treatment (20 papers), Meningioma and schwannoma management (7 papers) and Neuroblastoma Research and Treatments (6 papers). Hala Taha collaborates with scholars based in Egypt, United States and Germany. Hala Taha's co-authors include Mohamed El‐Beltagy, Mohamed S. Zaghloul, Amal Refaat, Ahmed Hassan Fahal, Ahmad Samir Alfaar, Wendy W. J. van de Sande, Mohamed Kamal, Sameera Ezzat, Reham Khedr and Shahenda El‐Naggar and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Hala Taha

53 papers receiving 488 citations

Author Peers

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

Author Last Decade Papers Cites
Hala Taha 177 134 128 113 65 60 492
Helen Toledano 126 0.7× 129 1.0× 72 0.6× 138 1.2× 83 1.3× 51 498
Kanish Mirchia 163 0.9× 119 0.9× 54 0.4× 71 0.6× 77 1.2× 46 477
George Sfakianos 179 1.0× 117 0.9× 69 0.5× 160 1.4× 42 0.6× 51 511
Wafik Zaky 271 1.5× 200 1.5× 63 0.5× 110 1.0× 38 0.6× 65 460
Nitin R. Wadhwani 221 1.2× 139 1.0× 76 0.6× 101 0.9× 63 1.0× 40 409
Anthony P. Y. Liu 207 1.2× 136 1.0× 69 0.5× 105 0.9× 48 0.7× 39 408
Yongji Tian 163 0.9× 160 1.2× 60 0.5× 72 0.6× 91 1.4× 49 478
Mohamed S Abdelbaki 188 1.1× 136 1.0× 56 0.4× 111 1.0× 41 0.6× 62 524
Jeffrey I. Traylor 184 1.0× 68 0.5× 62 0.5× 62 0.5× 40 0.6× 47 462
Julianne Behnke‐Mursch 122 0.7× 102 0.8× 84 0.7× 106 0.9× 43 0.7× 27 443

Countries citing papers authored by Hala Taha

Since Specialization
Citations

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

Fields of papers citing papers by Hala Taha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hala Taha

This figure shows the co-authorship network connecting the top 25 collaborators of Hala Taha. A scholar is included among the top collaborators of Hala Taha 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 Hala Taha. Hala Taha 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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