Danny L. Bayliss

569 total citations
8 papers, 444 citations indexed

About

Danny L. Bayliss is a scholar working on Radiology, Nuclear Medicine and Imaging, Health, Toxicology and Mutagenesis and Electrical and Electronic Engineering. According to data from OpenAlex, Danny L. Bayliss has authored 8 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Health, Toxicology and Mutagenesis and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Danny L. Bayliss's work include Plasma Applications and Diagnostics (7 papers), Mercury impact and mitigation studies (2 papers) and Plasma Diagnostics and Applications (2 papers). Danny L. Bayliss is often cited by papers focused on Plasma Applications and Diagnostics (7 papers), Mercury impact and mitigation studies (2 papers) and Plasma Diagnostics and Applications (2 papers). Danny L. Bayliss collaborates with scholars based in United Kingdom, China and Slovenia. Danny L. Bayliss's co-authors include James L. Walsh, Michael G. Kong, Simon Penson, Gemma A. Chope, Ian D. Fisk, Felipe Iza, Dezhen Wang, Qiuyue Nie, Chenyang Ren and Zhi Cao and has published in prestigious journals such as Food Chemistry, Comprehensive Reviews in Food Science and Food Safety and New Journal of Physics.

In The Last Decade

Danny L. Bayliss

8 papers receiving 432 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Danny L. Bayliss United Kingdom	7	302	173	85	80	56	8	444
Ximena Yépez United States	8	195 0.6×	93 0.5×	101 1.2×	85 1.1×	64 1.1×	8	381
Piotr Terebun Poland	12	350 1.2×	222 1.3×	61 0.7×	77 1.0×	47 0.8×	31	528
Laurence Scally Ireland	8	242 0.8×	121 0.7×	67 0.8×	69 0.9×	50 0.9×	13	392
Seungmin Ryu South Korea	16	347 1.1×	236 1.4×	62 0.7×	106 1.3×	56 1.0×	43	627
Beyhan Günaydın Daşan Türkiye	8	392 1.3×	137 0.8×	91 1.1×	204 2.5×	90 1.6×	9	599
Liumin Fan China	7	245 0.8×	139 0.8×	100 1.2×	144 1.8×	57 1.0×	8	448
Baran Onal‐Ulusoy Türkiye	10	134 0.4×	62 0.4×	64 0.8×	65 0.8×	47 0.8×	17	352
Eun Jeong Hong South Korea	9	213 0.7×	116 0.7×	41 0.5×	49 0.6×	64 1.1×	18	360
Alexandra Waskow Switzerland	9	220 0.7×	131 0.8×	56 0.7×	45 0.6×	69 1.2×	11	397
Barun Yadav Canada	9	296 1.0×	87 0.5×	132 1.6×	195 2.4×	84 1.5×	11	549

Countries citing papers authored by Danny L. Bayliss

Since Specialization

Citations

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

Fields of papers citing papers by Danny L. Bayliss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny L. Bayliss. 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 Danny L. Bayliss. The network helps show where Danny L. Bayliss may publish in the future.

Co-authorship network of co-authors of Danny L. Bayliss

This figure shows the co-authorship network connecting the top 25 collaborators of Danny L. Bayliss. A scholar is included among the top collaborators of Danny L. Bayliss 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 Danny L. Bayliss. Danny L. Bayliss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Hojnik, Nataša, et al.. (2022). Continuous in-line decontamination of food-processing surfaces using cold atmospheric pressure air plasma. Innovative Food Science & Emerging Technologies. 81. 103150–103150. 11 indexed citations

Bayliss, Danny L., et al.. (2022). Cold plasma for the disinfection of industrial food‐contact surfaces: An overview of current status and opportunities. Comprehensive Reviews in Food Science and Food Safety. 21(2). 1086–1124. 57 indexed citations

Bayliss, Danny L., et al.. (2020). Cold plasma decontamination of stainless steel food processing surfaces assessed using an industrial disinfection protocol. Food Control. 121. 107543–107543. 38 indexed citations

Bayliss, Danny L., et al.. (2016). Cold plasma: A new technology to modify wheat flour functionality. Food Chemistry. 202. 247–253. 152 indexed citations

Bayliss, Danny L., James L. Walsh, Felipe Iza, et al.. (2012). Complex Responses of Microorganisms as a Community to a Flowing Atmospheric Plasma. Plasma Processes and Polymers. 9(6). 597–611. 26 indexed citations

Cao, Zhi, Qiuyue Nie, Danny L. Bayliss, et al.. (2010). Spatially extended atmospheric plasma arrays. Plasma Sources Science and Technology. 19(2). 25003–25003. 103 indexed citations

Bayliss, Danny L., James L. Walsh, G. Shama, Felipe Iza, & Michael G. Kong. (2009). Reduction and degradation of amyloid aggregates by a pulsed radio-frequency cold atmospheric plasma jet. New Journal of Physics. 11(11). 115024–115024. 56 indexed citations

Shama, Gilbert, Danny L. Bayliss, Stefano Perni, & Michael G. Kong. (2009). APPLICATIONS OF COLD ATMOSPHERIC GAS PLASMAS FOR MICROBIAL DECONTAMINATION IN THE FOOD INDUSTRY. Loughborough University Institutional Repository (Loughborough University). 1 indexed citations

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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