Amber S. Moody

18 total papers · 572 total citations
10 papers, 452 citations indexed

About

Amber S. Moody is a scholar working on Biophysics, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Amber S. Moody has authored 10 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biophysics, 4 papers in Electronic, Optical and Magnetic Materials and 3 papers in Biomedical Engineering. Recurrent topics in Amber S. Moody's work include Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers) and Biosensors and Analytical Detection (2 papers). Amber S. Moody is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers) and Biosensors and Analytical Detection (2 papers). Amber S. Moody collaborates with scholars based in United States and China. Amber S. Moody's co-authors include Bhavya Sharma, William C. Zamboni, Paul A. Dayton, Andrew T. Lucas, Allison N. Schorzman, Pamela K. Diggle, Erika J. Edwards, Donald A. Walker, Howard E. Epstein and Sebastian Riedel and has published in prestigious journals such as Analytical Chemistry, Cancer Research and The Analyst.

In The Last Decade

Amber S. Moody

10 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
Amber S. Moody	169	162	160	136	55	10	452
Regivaldo G. Sobral-Filho	162 1.0×	309 1.9×	303 1.9×	123 0.9×	25 0.5×	11	528
Matthew W. Meyer	127 0.8×	126 0.8×	207 1.3×	147 1.1×	54 1.0×	14	541
Javier Plou	153 0.9×	273 1.7×	302 1.9×	125 0.9×	25 0.5×	16	487
Yu‐Chuan Ou	260 1.5×	83 0.5×	229 1.4×	55 0.4×	21 0.4×	12	509
Daniel Träutlein	106 0.6×	123 0.8×	219 1.4×	117 0.9×	39 0.7×	6	465
Fay Nicolson	195 1.2×	233 1.4×	251 1.6×	259 1.9×	122 2.2×	13	519
Yage Chen	165 1.0×	62 0.4×	115 0.7×	171 1.3×	78 1.4×	16	428
Andrew D. Pris	137 0.8×	98 0.6×	196 1.2×	11 0.1×	36 0.7×	14	545
Mansoureh Z. Mousavi	243 1.4×	217 1.3×	284 1.8×	67 0.5×	9 0.2×	9	427
Huawen Wu	183 1.1×	47 0.3×	98 0.6×	206 1.5×	86 1.6×	15	453

Countries citing papers authored by Amber S. Moody

Since Specialization

Citations

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

Fields of papers citing papers by Amber S. Moody

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amber S. Moody. 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 Amber S. Moody. The network helps show where Amber S. Moody may publish in the future.

Co-authorship network of co-authors of Amber S. Moody

This figure shows the co-authorship network connecting the top 25 collaborators of Amber S. Moody. A scholar is included among the top collaborators of Amber S. Moody 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 Amber S. Moody. Amber S. Moody 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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