Abdullah Makhzoum

63 total papers · 1.1k total citations
38 papers, 647 citations indexed

About

Abdullah Makhzoum is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Abdullah Makhzoum has authored 38 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 20 papers in Plant Science and 12 papers in Biotechnology. Recurrent topics in Abdullah Makhzoum's work include Plant tissue culture and regeneration (18 papers), Transgenic Plants and Applications (12 papers) and Plant Genetic and Mutation Studies (5 papers). Abdullah Makhzoum is often cited by papers focused on Plant tissue culture and regeneration (18 papers), Transgenic Plants and Applications (12 papers) and Plant Genetic and Mutation Studies (5 papers). Abdullah Makhzoum collaborates with scholars based in Botswana, Canada and France. Abdullah Makhzoum's co-authors include J. S. Knapp, Richard K. Owusu, Jocelyne Trémouillaux‐Guiller, Khaled Moustafa, Kathleen Hefferon, Sonia Malik, Goabaone Gaobotse, Richard Owusu-Apenten, Srividhya Venkataraman and Mark A. Bernards and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and Current Opinion in Biotechnology.

In The Last Decade

Abdullah Makhzoum

35 papers receiving 616 citations

Author Peers

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

Author Last Decade Papers Cites
Abdullah Makhzoum 433 229 200 85 39 38 647
Sivaraman Jayanthi 232 0.5× 141 0.6× 87 0.4× 38 0.4× 25 0.6× 65 674
Francesca Berini 422 1.0× 238 1.0× 174 0.9× 29 0.3× 21 0.5× 31 720
Nguyễn Hoàng Lộc 453 1.0× 294 1.3× 216 1.1× 48 0.6× 33 0.8× 74 709
Wenqiang Guo 216 0.5× 101 0.4× 153 0.8× 52 0.6× 17 0.4× 34 793
Tamara Regina Calvo 168 0.4× 148 0.6× 78 0.4× 108 1.3× 17 0.4× 30 661
Mauricio Cuéllar 275 0.6× 186 0.8× 75 0.4× 95 1.1× 27 0.7× 57 790
Jiaheng Liu 528 1.2× 103 0.4× 85 0.4× 119 1.4× 16 0.4× 32 755
Sun Jian 356 0.8× 208 0.9× 100 0.5× 80 0.9× 76 1.9× 26 650
Eun‐Bin Kwon 221 0.5× 225 1.0× 53 0.3× 135 1.6× 39 1.0× 31 652
Suraia Said 307 0.7× 242 1.1× 145 0.7× 84 1.0× 11 0.3× 38 702

Countries citing papers authored by Abdullah Makhzoum

Since Specialization
Citations

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

Fields of papers citing papers by Abdullah Makhzoum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abdullah Makhzoum

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