Welldone Moyo

32 total papers · 762 total citations
23 papers, 538 citations indexed

About

Welldone Moyo is a scholar working on Water Science and Technology, Biomedical Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Welldone Moyo has authored 23 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Water Science and Technology, 10 papers in Biomedical Engineering and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Welldone Moyo's work include Water Treatment and Disinfection (9 papers), Membrane Separation Technologies (7 papers) and Wastewater Treatment and Reuse (5 papers). Welldone Moyo is often cited by papers focused on Water Treatment and Disinfection (9 papers), Membrane Separation Technologies (7 papers) and Wastewater Treatment and Reuse (5 papers). Welldone Moyo collaborates with scholars based in South Africa, Netherlands and Zimbabwe. Welldone Moyo's co-authors include Thabo T.I. Nkambule, Nhamo Chaukura, Bhekie B. Mamba, Kenatu Angassa, Ashagrie Mengistu, Jemal Fito, Mikiyas Abewaa, Abera Demeke Ambaye, Machawe M. Motsa and Willis Gwenzi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Science and Pollution Research.

In The Last Decade

Welldone Moyo

23 papers receiving 533 citations

Hit Papers

Adsorption of methylene b... 2023 2026 2024 2023 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Welldone Moyo 291 145 122 86 85 23 538
Shiow Tien Song 394 1.4× 166 1.1× 93 0.8× 83 1.0× 73 0.9× 27 618
Mehtap Tanyol 280 1.0× 95 0.7× 90 0.7× 65 0.8× 74 0.9× 29 457
John U. Kennedy Oubagaranadin 403 1.4× 84 0.6× 103 0.8× 83 1.0× 80 0.9× 14 590
Elaine Fabre 195 0.7× 95 0.7× 95 0.8× 71 0.8× 46 0.5× 19 531
Meina Liang 268 0.9× 79 0.5× 85 0.7× 104 1.2× 81 1.0× 33 490
Helen Kong 247 0.8× 94 0.6× 57 0.5× 91 1.1× 77 0.9× 22 474
Allahbakhsh Javid 275 0.9× 64 0.4× 145 1.2× 93 1.1× 97 1.1× 23 536
Biao Zeng 320 1.1× 100 0.7× 87 0.7× 73 0.8× 86 1.0× 13 598
Iman Y. El-Sherif 365 1.3× 79 0.5× 72 0.6× 80 0.9× 119 1.4× 16 587
Manickam Velan 280 1.0× 107 0.7× 80 0.7× 134 1.6× 55 0.6× 32 562

Countries citing papers authored by Welldone Moyo

Since Specialization
Citations

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

Fields of papers citing papers by Welldone Moyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Welldone Moyo

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