Wayne Chadwick

1.3k total citations
31 papers, 1.0k citations indexed

About

Wayne Chadwick is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wayne Chadwick has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Physiology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Wayne Chadwick's work include Adipose Tissue and Metabolism (7 papers), Receptor Mechanisms and Signaling (5 papers) and Mitochondrial Function and Pathology (4 papers). Wayne Chadwick is often cited by papers focused on Adipose Tissue and Metabolism (7 papers), Receptor Mechanisms and Signaling (5 papers) and Mitochondrial Function and Pathology (4 papers). Wayne Chadwick collaborates with scholars based in United States, Belgium and United Kingdom. Wayne Chadwick's co-authors include Stuart Maudsley, Bronwen Martin, Sung Soo Park, Liyun Wang, Kevin G. Becker, Mark P. Mattson, Randall Brenneman, Yu Zhou, Nicholas A. Mitchell and Olga D. Carlson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Wayne Chadwick

30 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne Chadwick United States 19 510 310 220 130 130 31 1.0k
Yui Yamamoto Japan 24 860 1.7× 404 1.3× 236 1.1× 50 0.4× 73 0.6× 56 1.7k
Glauco Tarozzo Italy 21 507 1.0× 265 0.9× 188 0.9× 61 0.5× 53 0.4× 30 1.5k
LuGuang Luo United States 15 326 0.6× 243 0.8× 229 1.0× 187 1.4× 178 1.4× 37 979
Ludmila Mackerlova Sweden 14 579 1.1× 493 1.6× 168 0.8× 130 1.0× 75 0.6× 19 1.4k
Yuki Yamasaki Japan 13 250 0.5× 463 1.5× 120 0.5× 77 0.6× 126 1.0× 50 1.3k
Ian J. Orozco United States 13 835 1.6× 208 0.7× 334 1.5× 91 0.7× 53 0.4× 21 1.2k
Akiko K. Satoh Japan 23 1.0k 2.0× 669 2.2× 122 0.6× 89 0.7× 92 0.7× 63 1.9k
Dong‐Hou Kim South Korea 23 777 1.5× 272 0.9× 590 2.7× 116 0.9× 60 0.5× 54 1.8k
Ana M. Martín‐Moreno Spain 12 383 0.8× 418 1.3× 224 1.0× 75 0.6× 40 0.3× 12 1.3k

Countries citing papers authored by Wayne Chadwick

Since Specialization
Citations

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

Fields of papers citing papers by Wayne Chadwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne Chadwick

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

All Works

20 of 20 papers shown
1.
Chadwick, Wayne, et al.. (2025). Clinical Applications of Artificial Intelligence in Uveal Melanoma. Anticancer Research. 45(11). 4669–4681.
2.
Özer, Buğra, et al.. (2024). An experimentally validated approach to automated biological evidence generation in drug discovery using knowledge graphs. Nature Communications. 15(1). 5703–5703. 3 indexed citations
3.
Chadwick, Wayne, Patricia Cogram, Daniel J. Mason, et al.. (2023). A novel combination treatment for fragile X syndrome predicted using computational methods. Brain Communications. 6(1). fcad353–fcad353. 2 indexed citations
4.
Chadwick, Wayne, Stuart Maudsley, William M. Hull, et al.. (2023). The oDGal Mouse: A Novel, Physiologically Relevant Rodent Model of Sporadic Alzheimer’s Disease. International Journal of Molecular Sciences. 24(8). 6953–6953. 6 indexed citations
5.
Gastel, Jaana van, Huan Cai, Wei‐na Cong, et al.. (2019). Multidimensional informatic deconvolution defines gender-specific roles of hypothalamic GIT2 in aging trajectories. Mechanisms of Ageing and Development. 184. 111150–111150. 8 indexed citations
6.
Janssens, Jonathan, Daoyuan Lu, Wayne Chadwick, et al.. (2016). Development of Precision Small-Molecule Proneurotrophic Therapies for Neurodegenerative Diseases. Vitamins and hormones. 104. 263–311. 6 indexed citations
7.
Martin, Bronwen, Wayne Chadwick, Jonathan Janssens, et al.. (2016). GIT2 Acts as a Systems-Level Coordinator of Neurometabolic Activity and Pathophysiological Aging. Frontiers in Endocrinology. 6. 191–191. 25 indexed citations
8.
Cong, Wei‐na, Wayne Chadwick, Rui Wang, et al.. (2014). Amitriptyline Improves Motor Function via Enhanced Neurotrophin Signaling and Mitochondrial Functions in the Murine N171-82Q Huntington Disease Model. Journal of Biological Chemistry. 290(5). 2728–2743. 19 indexed citations
9.
Martin, Bronwen, Wayne Chadwick, Sung Soo Park, et al.. (2012). VENNTURE–A Novel Venn Diagram Investigational Tool for Multiple Pharmacological Dataset Analysis. PLoS ONE. 7(5). e36911–e36911. 61 indexed citations
10.
Chadwick, Wayne, Nicholas A. Mitchell, Bronwen Martin, & Stuart Maudsley. (2012). Therapeutic Targeting of the Endoplasmic Reticulum in Alzheimers Disease. Current Alzheimer Research. 9(1). 110–119. 27 indexed citations
11.
Chadwick, Wayne, Bronwen Martin, Sung Soo Park, et al.. (2012). GIT2 Acts as a Potential Keystone Protein in Functional Hypothalamic Networks Associated with Age-Related Phenotypic Changes in Rats. PLoS ONE. 7(5). e36975–e36975. 35 indexed citations
12.
Martin, Bronwen, Wayne Chadwick, Sung Soo Park, et al.. (2012). Correction: VENNTURE–A Novel Venn Diagram Investigational Tool for Multiple Pharmacological Dataset Analysis. PLoS ONE. 7(5). 11 indexed citations
13.
Martin, Bronwen, Wayne Chadwick, Wei‐na Cong, et al.. (2012). Euglycemic Agent-mediated Hypothalamic Transcriptomic Manipulation in the N171–82Q Model of Huntington Disease Is Related to Their Physiological Efficacy. Journal of Biological Chemistry. 287(38). 31766–31782. 27 indexed citations
14.
Park, Sung Soo, Alexis M. Stranahan, Wayne Chadwick, et al.. (2011). Cortical gene transcription response patterns to water maze training in aged mice. BMC Neuroscience. 12(1). 63–63. 19 indexed citations
15.
Chadwick, Wayne, John P. Boyle, Yu Zhou, et al.. (2011). Multiple Oxygen Tension Environments Reveal Diverse Patterns of Transcriptional Regulation in Primary Astrocytes. PLoS ONE. 6(6). e21638–e21638. 25 indexed citations
16.
Zhou, Yu, Sung Soo Park, Wayne Chadwick, et al.. (2011). Rapid and enhanced proteolytic digestion using electric-field-oriented enzyme reactor. Journal of Proteomics. 74(7). 1030–1035. 16 indexed citations
17.
Wang, Liyun, Wayne Chadwick, Sung Soo Park, et al.. (2010). Gonadotropin-Releasing Hormone Receptor System: Modulatory Role in Aging and Neurodegeneration. CNS & Neurological Disorders - Drug Targets. 9(5). 651–660. 47 indexed citations
18.
Chadwick, Wayne, Sung Soo Park, Liyun Wang, et al.. (2010). Minimal Peroxide Exposure of Neuronal Cells Induces Multifaceted Adaptive Responses. PLoS ONE. 5(12). e14352–e14352. 54 indexed citations
19.
20.
Chadwick, Wayne, Tim Magnus, Bronwen Martin, et al.. (2008). Targeting TNF-α receptors for neurotherapeutics. Trends in Neurosciences. 31(10). 504–511. 59 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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