John Ndayishimiye

13 total papers · 409 total citations
12 papers, 311 citations indexed

About

John Ndayishimiye is a scholar working on Pharmaceutical Science, Biochemistry and Food Science. According to data from OpenAlex, John Ndayishimiye has authored 12 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmaceutical Science, 5 papers in Biochemistry and 5 papers in Food Science. Recurrent topics in John Ndayishimiye's work include Phytochemicals and Antioxidant Activities (5 papers), Drug Solubulity and Delivery Systems (4 papers) and Essential Oils and Antimicrobial Activity (3 papers). John Ndayishimiye is often cited by papers focused on Phytochemicals and Antioxidant Activities (5 papers), Drug Solubulity and Delivery Systems (4 papers) and Essential Oils and Antimicrobial Activity (3 papers). John Ndayishimiye collaborates with scholars based in Australia, South Korea and Italy. John Ndayishimiye's co-authors include Byung‐Soo Chun, James R. Falconer, Mark A. T. Blaskovich, Amirali Popat, Tushar Kumeria, Giovanna Ferrentino, Matteo Scampicchio, Adane Tilahun Getachew and Yuxue Cao and has published in prestigious journals such as Journal of Controlled Release, International Journal of Pharmaceutics and Biomass and Bioenergy.

In The Last Decade

John Ndayishimiye

12 papers receiving 307 citations

Author Peers

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

Author						Papers	Cites
John Ndayishimiye	96	86	82	79	49	12	311
Samo Andrenšek	105 1.1×	58 0.7×	92 1.1×	68 0.9×	26 0.5×	16	361
Sonia Millao	174 1.8×	53 0.6×	50 0.6×	40 0.5×	30 0.6×	14	341
Joana R. Costa	89 0.9×	54 0.6×	65 0.8×	75 0.9×	71 1.4×	11	309
Nicola De Zordi	73 0.8×	125 1.5×	39 0.5×	36 0.5×	91 1.9×	19	330
Şeref Akay	81 0.8×	69 0.8×	94 1.1×	101 1.3×	12 0.2×	16	343
Mangla Nand Singh	104 1.1×	56 0.7×	24 0.3×	51 0.6×	89 1.8×	8	316
Shivani Uppal	125 1.3×	44 0.5×	24 0.3×	74 0.9×	56 1.1×	13	364
Ruijing Ma	80 0.8×	41 0.5×	56 0.7×	71 0.9×	31 0.6×	21	310
Xiaojun Liu	78 0.8×	81 0.9×	25 0.3×	56 0.7×	32 0.7×	16	341
Jia Xiang	72 0.8×	66 0.8×	15 0.2×	60 0.8×	39 0.8×	19	358

Countries citing papers authored by John Ndayishimiye

Since Specialization

Citations

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

Fields of papers citing papers by John Ndayishimiye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Ndayishimiye

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