John M. Kinyanjui

22 total papers · 615 total citations
15 papers, 541 citations indexed

About

John M. Kinyanjui is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, John M. Kinyanjui has authored 15 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Polymers and Plastics, 10 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in John M. Kinyanjui's work include Electrochemical sensors and biosensors (8 papers), Conducting polymers and applications (8 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). John M. Kinyanjui is often cited by papers focused on Electrochemical sensors and biosensors (8 papers), Conducting polymers and applications (8 papers) and Advanced Sensor and Energy Harvesting Materials (5 papers). John M. Kinyanjui collaborates with scholars based in United States and Germany. John M. Kinyanjui's co-authors include David W. Hatchett, Mira Josowicz, Jerome A. Smith, Linda S. Sapochak, Gayani C. Kodippili, Dong‐Chan Lee, Kenneth R. Czerwinski, Sujitra Pookpanratana, Timo Hofmann and Marcus Bär and has published in prestigious journals such as Chemistry of Materials, Journal of The Electrochemical Society and Macromolecules.

In The Last Decade

John M. Kinyanjui

14 papers receiving 530 citations

Author Peers

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

Author						Papers	Cites
John M. Kinyanjui	409	251	143	112	89	15	541
Leyan Xiong	137 0.3×	299 1.2×	147 1.0×	117 1.0×	187 2.1×	21	595
Yang Tan	141 0.3×	245 1.0×	60 0.4×	99 0.9×	149 1.7×	12	495
Larbi Oularbi	236 0.6×	366 1.5×	293 2.0×	77 0.7×	88 1.0×	16	560
Sebastian Golczak	337 0.8×	288 1.1×	50 0.3×	160 1.4×	115 1.3×	13	522
Meiyan Wu	100 0.2×	255 1.0×	95 0.7×	135 1.2×	207 2.3×	13	488
Shengyu Jing	325 0.8×	262 1.0×	62 0.4×	194 1.7×	186 2.1×	19	570
M. S. Dharmaprakash	150 0.4×	245 1.0×	86 0.6×	55 0.5×	226 2.5×	21	464
Wujun Zou	234 0.6×	438 1.7×	128 0.9×	74 0.7×	159 1.8×	21	610
Sze‐Ming Yang	204 0.5×	174 0.7×	26 0.2×	112 1.0×	212 2.4×	26	479
Somik Banerjee	423 1.0×	238 0.9×	22 0.2×	210 1.9×	96 1.1×	19	554

Countries citing papers authored by John M. Kinyanjui

Since Specialization

Citations

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

Fields of papers citing papers by John M. Kinyanjui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Kinyanjui. 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 John M. Kinyanjui. The network helps show where John M. Kinyanjui may publish in the future.

Co-authorship network of co-authors of John M. Kinyanjui

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Kinyanjui. A scholar is included among the top collaborators of John M. Kinyanjui 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 John M. Kinyanjui. John M. Kinyanjui 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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