W. K. Ng’etich

94 total papers · 959 total citations
54 papers, 675 citations indexed

About

W. K. Ng’etich is a scholar working on Plant Science, Pathology and Forensic Medicine and Agronomy and Crop Science. According to data from OpenAlex, W. K. Ng’etich has authored 54 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 15 papers in Pathology and Forensic Medicine and 12 papers in Agronomy and Crop Science. Recurrent topics in W. K. Ng’etich's work include Tea Polyphenols and Effects (15 papers), Agronomic Practices and Intercropping Systems (7 papers) and Soil erosion and sediment transport (6 papers). W. K. Ng’etich is often cited by papers focused on Tea Polyphenols and Effects (15 papers), Agronomic Practices and Intercropping Systems (7 papers) and Soil erosion and sediment transport (6 papers). W. K. Ng’etich collaborates with scholars based in Kenya, United Kingdom and Tanzania. W. K. Ng’etich's co-authors include Francis N. Wachira, L. M. Mumera, Erick K. Cheruiyot, Ahmed Hassanali, W. E. Stephens, P.O. Owuor, P. Kisinyo, C. O. Othieno, J. R. Okalebo and M. Obanda and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Food Chemistry.

In The Last Decade

W. K. Ng’etich

53 papers receiving 626 citations

Author Peers

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

Author Last Decade Papers Cites
W. K. Ng’etich 304 190 163 83 73 54 675
Bo Wen 271 0.9× 99 0.5× 33 0.2× 77 0.9× 141 1.9× 42 691
R. Härdter 368 1.2× 78 0.4× 141 0.9× 52 0.6× 62 0.8× 18 640
Jiali Wang 336 1.1× 69 0.4× 103 0.6× 106 1.3× 157 2.2× 43 763
Weyessa Garedew 313 1.0× 37 0.2× 93 0.6× 95 1.1× 22 0.3× 55 710
Taufiq Nawaz 288 0.9× 31 0.2× 73 0.4× 68 0.8× 72 1.0× 67 651
Hao Cheng 371 1.2× 105 0.6× 68 0.4× 57 0.7× 198 2.7× 36 615
Jing Li 314 1.0× 28 0.1× 234 1.4× 29 0.3× 78 1.1× 25 591
Anne‐Maj Gustavsson 154 0.5× 68 0.4× 95 0.6× 32 0.4× 37 0.5× 39 755
Gilles Tremblay 305 1.0× 36 0.2× 329 2.0× 18 0.2× 44 0.6× 31 610
Yuhei Hirono 191 0.6× 99 0.5× 216 1.3× 45 0.5× 54 0.7× 30 754

Countries citing papers authored by W. K. Ng’etich

Since Specialization
Citations

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

Fields of papers citing papers by W. K. Ng’etich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. K. Ng’etich. 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 W. K. Ng’etich. The network helps show where W. K. Ng’etich may publish in the future.

Co-authorship network of co-authors of W. K. Ng’etich

This figure shows the co-authorship network connecting the top 25 collaborators of W. K. Ng’etich. A scholar is included among the top collaborators of W. K. Ng’etich 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 W. K. Ng’etich. W. K. Ng’etich 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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