Nabil A. Hasona

42 total papers · 446 total citations
38 papers, 357 citations indexed

About

Nabil A. Hasona is a scholar working on Cancer Research, Molecular Biology and Epidemiology. According to data from OpenAlex, Nabil A. Hasona has authored 38 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cancer Research, 16 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Nabil A. Hasona's work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (15 papers) and Circular RNAs in diseases (11 papers). Nabil A. Hasona is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (15 papers) and Circular RNAs in diseases (11 papers). Nabil A. Hasona collaborates with scholars based in Egypt, Saudi Arabia and Jordan. Nabil A. Hasona's co-authors include Olfat Shaker, Abdelbaset Mohamed Elasbali, Mohammed Ahmed, Walaa G. Hozayen, Tarja Malm, Ibraheem Ashankyty, Mohammad Feroze Fazaludeen, Amr E. Ahmed, Areej A. Eskandrani and Adel Abdel‐Moneim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Medical Virology and Journal of Interferon & Cytokine Research.

In The Last Decade

Nabil A. Hasona

36 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
Nabil A. Hasona 106 92 79 51 41 38 357
Kasimu Ghandi Ibrahim 84 0.8× 78 0.8× 35 0.4× 28 0.5× 25 0.6× 45 299
S. V. Gothoskar 89 0.8× 88 1.0× 60 0.8× 35 0.7× 17 0.4× 14 369
Alda Pereira da Silva 116 1.1× 71 0.8× 25 0.3× 35 0.7× 29 0.7× 32 374
Qiuyue Fang 164 1.5× 91 1.0× 40 0.5× 25 0.5× 102 2.5× 28 367
Hamid El Amri 105 1.0× 57 0.6× 63 0.8× 47 0.9× 39 1.0× 20 371
Mohamed A. El-Desouky 98 0.9× 107 1.2× 38 0.5× 49 1.0× 17 0.4× 37 335
Fatemeh Heydarpour 78 0.7× 53 0.6× 23 0.3× 32 0.6× 32 0.8× 47 384
Ananya Dechakhamphu 124 1.2× 47 0.5× 69 0.9× 35 0.7× 33 0.8× 28 391
Naief Dahran 72 0.7× 81 0.9× 29 0.4× 27 0.5× 20 0.5× 45 363
Mamta Vora 124 1.2× 93 1.0× 55 0.7× 71 1.4× 36 0.9× 21 382

Countries citing papers authored by Nabil A. Hasona

Since Specialization
Citations

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

Fields of papers citing papers by Nabil A. Hasona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nabil A. Hasona

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