Marwa Alaqarbeh

94 total papers · 1.1k total citations
74 papers, 793 citations indexed

About

Marwa Alaqarbeh is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Marwa Alaqarbeh has authored 74 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Organic Chemistry, 33 papers in Computational Theory and Mathematics and 15 papers in Molecular Biology. Recurrent topics in Marwa Alaqarbeh's work include Computational Drug Discovery Methods (33 papers), Synthesis and biological activity (29 papers) and Bioactive Compounds and Antitumor Agents (6 papers). Marwa Alaqarbeh is often cited by papers focused on Computational Drug Discovery Methods (33 papers), Synthesis and biological activity (29 papers) and Bioactive Compounds and Antitumor Agents (6 papers). Marwa Alaqarbeh collaborates with scholars based in Morocco, Jordan and Portugal. Marwa Alaqarbeh's co-authors include Mohammed Bouachrıne, Tahar Lakhlifi, Mohammad W. Amer, Akl M. Awwad, Samir Chtita, Abdelouahid Sbai, Mohammed Aziz Ajana, Fawwaz I. Khalili, Hamid Maghat and Assia Belhassan and has published in prestigious journals such as RSC Advances, European Journal of Medicinal Chemistry and Computers in Biology and Medicine.

In The Last Decade

Marwa Alaqarbeh

61 papers receiving 781 citations

Author Peers

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

Author Last Decade Papers Cites
Marwa Alaqarbeh 304 233 150 123 90 74 793
Saïd Belaaouad 262 0.9× 147 0.6× 261 1.7× 91 0.7× 112 1.2× 130 908
Siham A. Alissa 419 1.4× 65 0.3× 105 0.7× 160 1.3× 144 1.6× 36 784
Munirah M. Al‐Rooqi 487 1.6× 87 0.4× 165 1.1× 158 1.3× 28 0.3× 34 867
Hamid Maghat 323 1.1× 225 1.0× 111 0.7× 129 1.0× 242 2.7× 40 826
Monsurat M. Lawal 330 1.1× 175 0.8× 95 0.6× 205 1.7× 108 1.2× 54 899
Abdulmujeeb T. Onawole 139 0.5× 81 0.3× 262 1.7× 122 1.0× 81 0.9× 38 775
Tariq Z. Abolibda 385 1.3× 46 0.2× 98 0.7× 70 0.6× 77 0.9× 52 710
Vijisha K. Rajan 274 0.9× 78 0.3× 205 1.4× 94 0.8× 35 0.4× 27 806
Hummera Rafique 407 1.3× 73 0.3× 114 0.8× 174 1.4× 29 0.3× 78 796
Bader Huwaimel 188 0.6× 90 0.4× 269 1.8× 130 1.1× 38 0.4× 90 821

Countries citing papers authored by Marwa Alaqarbeh

Since Specialization
Citations

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

Fields of papers citing papers by Marwa Alaqarbeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marwa Alaqarbeh

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