Chad P. Byers

8 total papers · 556 total citations
6 papers, 470 citations indexed

About

Chad P. Byers is a scholar working on Electronic, Optical and Magnetic Materials, Molecular Biology and Electrochemistry. According to data from OpenAlex, Chad P. Byers has authored 6 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Electronic, Optical and Magnetic Materials, 3 papers in Molecular Biology and 3 papers in Electrochemistry. Recurrent topics in Chad P. Byers's work include Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Electrochemical Analysis and Applications (3 papers). Chad P. Byers is often cited by papers focused on Gold and Silver Nanoparticles Synthesis and Applications (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Electrochemical Analysis and Applications (3 papers). Chad P. Byers collaborates with scholars based in United States and Australia. Chad P. Byers's co-authors include Stephan Link, Christy F. Landes, Wei‐Shun Chang, Benjamin S. Hoener, Mustafa Yorulmaz, Anneli Hoggard, Da Huang, Dayne F. Swearer, Lin-Yung Wang and Hui Zhang and has published in prestigious journals such as Nano Letters, ACS Nano and The Journal of Physical Chemistry B.

In The Last Decade

Chad P. Byers

6 papers receiving 464 citations

Author Peers

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

Author						Papers	Cites
Chad P. Byers	312	230	170	120	97	6	470
Yi-Tao Long	200 0.6×	211 0.9×	112 0.7×	90 0.8×	173 1.8×	6	425
Xin-Ran Li	342 1.1×	132 0.6×	208 1.2×	178 1.5×	72 0.7×	8	501
Hyouk Soo Han	273 0.9×	101 0.4×	200 1.2×	61 0.5×	66 0.7×	12	422
Yong-Kyun Park	297 1.0×	163 0.7×	253 1.5×	42 0.3×	64 0.7×	7	433
Steven G. Schultz	205 0.7×	98 0.4×	114 0.7×	144 1.2×	177 1.8×	9	453
Alexander J. Hallock	175 0.6×	155 0.7×	196 1.2×	63 0.5×	38 0.4×	8	531
Tai Ha Joo	406 1.3×	114 0.5×	243 1.4×	133 1.1×	130 1.3×	9	537
Stephen C. Weibel	149 0.5×	254 1.1×	114 0.7×	37 0.3×	109 1.1×	14	496
Dominik Enders	268 0.9×	260 1.1×	102 0.6×	30 0.3×	77 0.8×	15	458
Mary L. Lewis	160 0.5×	126 0.5×	133 0.8×	65 0.5×	139 1.4×	11	500

Countries citing papers authored by Chad P. Byers

Since Specialization

Citations

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

Fields of papers citing papers by Chad P. Byers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad P. Byers. 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 Chad P. Byers. The network helps show where Chad P. Byers may publish in the future.

Co-authorship network of co-authors of Chad P. Byers

This figure shows the co-authorship network connecting the top 25 collaborators of Chad P. Byers. A scholar is included among the top collaborators of Chad P. Byers 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 Chad P. Byers. Chad P. Byers 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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