Efficient N. Ncube

24 total papers · 449 total citations
20 papers, 365 citations indexed

About

Efficient N. Ncube is a scholar working on Molecular Biology, Plant Science and Food Science. According to data from OpenAlex, Efficient N. Ncube has authored 20 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Plant Science and 8 papers in Food Science. Recurrent topics in Efficient N. Ncube's work include Metabolomics and Mass Spectrometry Studies (7 papers), Essential Oils and Antimicrobial Activity (6 papers) and Plant biochemistry and biosynthesis (5 papers). Efficient N. Ncube is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Essential Oils and Antimicrobial Activity (6 papers) and Plant biochemistry and biosynthesis (5 papers). Efficient N. Ncube collaborates with scholars based in South Africa, United States and Lesotho. Efficient N. Ncube's co-authors include Ian A. Dubery, Paul A. Steenkamp, Ntakadzeni Edwin Madala, Msizi I. Mhlongo, Lizelle A. Piater, Fidele Tugizimana, Mosotho J. George, Arnaud T. Djami‐Tchatchou, Keletso Cecilia Mohale and Sandiswa Figlan and has published in prestigious journals such as Molecules, Journal of Ethnopharmacology and Frontiers in Plant Science.

In The Last Decade

Efficient N. Ncube

19 papers receiving 359 citations

Author Peers

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

Author Last Decade Papers Cites
Efficient N. Ncube 185 141 92 76 60 20 365
Camilia G. Michel 142 0.8× 102 0.7× 123 1.3× 73 1.0× 52 0.9× 15 332
Nam Hee Yoo 140 0.8× 167 1.2× 43 0.5× 75 1.0× 46 0.8× 23 379
Ziluan Fan 164 0.9× 126 0.9× 95 1.0× 155 2.0× 32 0.5× 22 403
Engy Mohsen 107 0.6× 116 0.8× 127 1.4× 72 0.9× 35 0.6× 25 346
Nurhuda Manshoor 135 0.7× 89 0.6× 121 1.3× 62 0.8× 38 0.6× 29 349
Fayez E. Kandil 137 0.7× 149 1.1× 88 1.0× 105 1.4× 83 1.4× 15 391
Fu Wang 110 0.6× 111 0.8× 100 1.1× 98 1.3× 21 0.3× 16 306
Youyuan Lu 123 0.7× 146 1.0× 61 0.7× 78 1.0× 43 0.7× 24 354
Ombeline Danton 138 0.7× 150 1.1× 69 0.8× 40 0.5× 46 0.8× 31 315
Liliana Hernández‐Vázquez 103 0.6× 176 1.2× 83 0.9× 59 0.8× 42 0.7× 16 327

Countries citing papers authored by Efficient N. Ncube

Since Specialization
Citations

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

Fields of papers citing papers by Efficient N. Ncube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Efficient N. Ncube. 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 Efficient N. Ncube. The network helps show where Efficient N. Ncube may publish in the future.

Co-authorship network of co-authors of Efficient N. Ncube

This figure shows the co-authorship network connecting the top 25 collaborators of Efficient N. Ncube. A scholar is included among the top collaborators of Efficient N. Ncube 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 Efficient N. Ncube. Efficient N. Ncube 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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