Amy E. Chadwick

2.2k total citations
62 papers, 1.4k citations indexed

About

Amy E. Chadwick is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Amy E. Chadwick has authored 62 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Endocrine and Autonomic Systems, 18 papers in Molecular Biology and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Amy E. Chadwick's work include Neuroscience of respiration and sleep (21 papers), Mitochondrial Function and Pathology (10 papers) and Neonatal Respiratory Health Research (10 papers). Amy E. Chadwick is often cited by papers focused on Neuroscience of respiration and sleep (21 papers), Mitochondrial Function and Pathology (10 papers) and Neonatal Respiratory Health Research (10 papers). Amy E. Chadwick collaborates with scholars based in United States, United Kingdom and Belgium. Amy E. Chadwick's co-authors include Henry F. Krous, Hannah C. Kinney, Felicia Trachtenberg, Richard A. Belliveau, David S. Paterson, Alan H. Beggs, Elisabeth A. Haas, Eric G. Thompson, Laleh Kamalian and B. Kevin Park and has published in prestigious journals such as JAMA, PLoS ONE and Scientific Reports.

In The Last Decade

Amy E. Chadwick

58 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy E. Chadwick United States 18 595 318 242 174 170 62 1.4k
Pierre Rivière France 31 89 0.1× 731 2.3× 66 0.3× 23 0.1× 175 1.0× 76 2.1k
Alex F. Muller Switzerland 25 317 0.5× 467 1.5× 101 0.4× 11 0.1× 211 1.2× 53 2.3k
Sandra R. Bates United States 30 242 0.4× 707 2.2× 114 0.5× 13 0.1× 687 4.0× 79 2.5k
William P. Arnold United States 17 322 0.5× 781 2.5× 88 0.4× 42 0.2× 405 2.4× 31 2.9k
Joseph Sack Israel 25 217 0.4× 793 2.5× 523 2.2× 14 0.1× 310 1.8× 103 2.6k
M Husain United States 30 223 0.4× 829 2.6× 233 1.0× 24 0.1× 363 2.1× 56 2.6k
J H Wyllie United Kingdom 21 91 0.2× 544 1.7× 46 0.2× 70 0.4× 300 1.8× 61 2.3k
Masahiko Kawai Japan 21 57 0.1× 436 1.4× 355 1.5× 14 0.1× 274 1.6× 136 1.7k
Christian J. Hunter United States 20 331 0.6× 174 0.5× 482 2.0× 93 0.5× 471 2.8× 49 1.9k
Karina Rodríguez-Capote Canada 16 182 0.3× 398 1.3× 72 0.3× 30 0.2× 472 2.8× 35 1.3k

Countries citing papers authored by Amy E. Chadwick

Since Specialization
Citations

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

Fields of papers citing papers by Amy E. Chadwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy E. Chadwick

This figure shows the co-authorship network connecting the top 25 collaborators of Amy E. Chadwick. A scholar is included among the top collaborators of Amy E. 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 Amy E. Chadwick. Amy E. 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
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Esposito, Simona, et al.. (2025). Trimethylamine N-oxide (TMAO) acutely alters ionic currents but does not increase cardiac cell death. Frontiers in Physiology. 16. 1505813–1505813. 2 indexed citations
3.
Gardner, Joshua, Rebecca L. Jensen, Andrew Gibson, et al.. (2024). Glycolysis: An early marker for vancomycin‐specific T‐cell activation. Clinical & Experimental Allergy. 54(1). 21–33. 3 indexed citations
4.
Kiy, Robyn T., Saye Khoo, & Amy E. Chadwick. (2024). Assessing the mitochondrial safety profile of the molnupiravir active metabolite, β-d-N4-hydroxycytidine (NHC), in the physiologically relevant HepaRG model. Toxicology Research. 13(1). tfae012–tfae012. 2 indexed citations
5.
Alfirevic, Ana, et al.. (2023). Developing In Vitro Models to Define the Role of Direct Mitochondrial Toxicity in Frequently Reported Drug-Induced Rhabdomyolysis. Biomedicines. 11(5). 1485–1485. 6 indexed citations
6.
7.
Esposito, Simona, Christopher Martin, Iain Squire, et al.. (2022). Selective protein kinase C inhibition switches time-dependent glucose cardiotoxicity to cardioprotection. Frontiers in Cardiovascular Medicine. 9. 997013–997013. 1 indexed citations
8.
French, Neil, et al.. (2021). Investigating dihydroorotate dehydrogenase inhibitor mediated mitochondrial dysfunction in hepatic in vitro models. Toxicology in Vitro. 72. 105096–105096. 12 indexed citations
9.
Chadwick, Amy E., et al.. (2021). The Role of Mitochondrial DNA Variation in Drug Response: A Systematic Review. Frontiers in Genetics. 12. 698825–698825. 11 indexed citations
10.
Leedale, Joseph, et al.. (2019). Modelling changes in glutathione homeostasis as a function of quinone redox metabolism. Scientific Reports. 9(1). 6333–6333. 84 indexed citations
11.
Thaventhiran, Thilipan, Wai‐Ki Wong, Ahmad F. Alghanem, et al.. (2019). CD28 Superagonistic Activation of T Cells Induces a Tumor Cell-Like Metabolic Program. Monoclonal Antibodies in Immunodiagnosis and Immunotherapy. 38(2). 60–69. 3 indexed citations
12.
Sharma, Parveen, et al.. (2019). Differential toxic effects of bile acid mixtures in isolated mitochondria and physiologically relevant HepaRG cells. Toxicology in Vitro. 61. 104595–104595. 19 indexed citations
13.
Leedale, Joseph, et al.. (2018). Modelling the impact of changes in the extracellular environment on the cytosolic free NAD+/NADH ratio during cell culture. PLoS ONE. 13(11). e0207803–e0207803. 10 indexed citations
14.
Sharma, Raman, Amy E. Chadwick, Neil G. Berry, et al.. (2013). Artemisinin–Polypyrrole Conjugates: Synthesis, DNA Binding Studies and Preliminary Antiproliferative Evaluation. ChemMedChem. 8(5). 709–718. 6 indexed citations
15.
Krous, Henry F., et al.. (2008). Intrathoracic petechiae in SIDS: a retrospective population-based 15-year study. Forensic Science Medicine and Pathology. 4(4). 234–239. 11 indexed citations
16.
Krous, Henry F., et al.. (2007). Delayed death in sudden infant death syndrome: A San Diego SIDS/SUDC Research Project 15-year population-based report. Forensic Science International. 176(2-3). 209–216. 10 indexed citations
17.
Krous, Henry F., et al.. (2007). Aspiration of Gastric Contents in Sudden Infant Death Syndrome without Cardiopulmonary Resuscitation. The Journal of Pediatrics. 150(3). 241–246. 20 indexed citations
18.
Krous, Henry F., et al.. (2007). A comparison of pulmonary intra-alveolar hemorrhage in cases of sudden infant death due to SIDS in a safe sleep environment or to suffocation. Forensic Science International. 172(1). 56–62. 14 indexed citations
19.
Krous, Henry F., Amy E. Chadwick, & Christina Stanley. (2005). Delayed infant death following catastrophic deterioration during breast‐feeding. Journal of Paediatrics and Child Health. 41(4). 215–217. 7 indexed citations
20.
Krous, Henry F., Amy E. Chadwick, Christina Stanley, & J. Bruce Beckwith. (2005). Is SIDS Associated With Sleep?: A Report of Six Cases Demonstrating Difficulty in This Determination. Forensic Science Medicine and Pathology. 1(3). 179–186. 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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