Khedidja Benarous

64 total papers · 590 total citations
50 papers, 452 citations indexed

About

Khedidja Benarous is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Khedidja Benarous has authored 50 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Computational Theory and Mathematics and 12 papers in Organic Chemistry. Recurrent topics in Khedidja Benarous's work include Computational Drug Discovery Methods (16 papers), Natural Antidiabetic Agents Studies (8 papers) and Gout, Hyperuricemia, Uric Acid (8 papers). Khedidja Benarous is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Natural Antidiabetic Agents Studies (8 papers) and Gout, Hyperuricemia, Uric Acid (8 papers). Khedidja Benarous collaborates with scholars based in Algeria, Saudi Arabia and Türkiye. Khedidja Benarous's co-authors include Mohamed Yousfi, Amar Djeridane, Isabelle Bombarda, Émile M. Gaydou, Souraya Goumri‐Said, M. Sebaa, Isabel Iriepa, Ignacio Moraleda, Gaëtan Herbette and S.A. Tsipas and has published in prestigious journals such as The Journal of Organic Chemistry, Molecules and Industrial Crops and Products.

In The Last Decade

Khedidja Benarous

45 papers receiving 449 citations

Author Peers

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

Author						Papers	Cites
Khedidja Benarous	149	77	76	68	61	50	452
Nornisah Mohamed	152 1.0×	31 0.4×	52 0.7×	57 0.8×	130 2.1×	38	422
Darasaguppe R. Harish	193 1.3×	46 0.6×	53 0.7×	23 0.3×	40 0.7×	36	416
Muhammad Nasir Iqbal	165 1.1×	39 0.5×	111 1.5×	73 1.1×	53 0.9×	47	461
Rebamang A. Mosa	248 1.7×	56 0.7×	63 0.8×	68 1.0×	111 1.8×	40	529
Shovonlal Bhowmick	185 1.2×	45 0.6×	128 1.7×	55 0.8×	32 0.5×	41	517
Vishal S. Patil	141 0.9×	74 1.0×	92 1.2×	43 0.6×	54 0.9×	64	435
Langeswaran Kulanthaivel	220 1.5×	53 0.7×	69 0.9×	75 1.1×	69 1.1×	59	540
Mohd Masih Uzzaman Khan	167 1.1×	38 0.5×	36 0.5×	41 0.6×	73 1.2×	36	501
Humaira Zafar	131 0.9×	39 0.5×	31 0.4×	131 1.9×	26 0.4×	78	412
Yong‐Seong Kim	178 1.2×	37 0.5×	54 0.7×	33 0.5×	40 0.7×	57	454

Countries citing papers authored by Khedidja Benarous

Since Specialization

Citations

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

Fields of papers citing papers by Khedidja Benarous

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Khedidja Benarous

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