Amy Chan

5.8k total citations · 2 hit papers
44 papers, 2.9k citations indexed

About

Amy Chan is a scholar working on Rheumatology, Molecular Biology and Physiology. According to data from OpenAlex, Amy Chan has authored 44 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Rheumatology, 18 papers in Molecular Biology and 10 papers in Physiology. Recurrent topics in Amy Chan's work include Folate and B Vitamins Research (19 papers), Alzheimer's disease research and treatments (10 papers) and RNA Interference and Gene Delivery (5 papers). Amy Chan is often cited by papers focused on Folate and B Vitamins Research (19 papers), Alzheimer's disease research and treatments (10 papers) and RNA Interference and Gene Delivery (5 papers). Amy Chan collaborates with scholars based in United States, United Kingdom and Canada. Amy Chan's co-authors include Thomas B. Shea, David W. C. MacMillan, Holt A. Sakai, Noah B. Bissonnette, Ciaran P. Seath, Edna Mao, Nicholas L. Reed, Agustin Millet, James V. Oakley and Olivia L. Garry and has published in prestigious journals such as Science, Chemical Reviews and Journal of the American Chemical Society.

In The Last Decade

Amy Chan

44 papers receiving 2.8k citations

Hit Papers

Metallaphotoredox: The Merger of Photoredox and Transitio... 2021 2026 2022 2024 2021 2023 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Chan United States 22 1.2k 740 349 320 218 44 2.9k
Masatoshi Shibuya Japan 43 2.6k 2.2× 2.7k 3.6× 289 0.8× 60 0.2× 67 0.3× 144 6.9k
Werner J. Geldenhuys United States 30 489 0.4× 1.2k 1.6× 288 0.8× 55 0.2× 91 0.4× 124 2.7k
Pei Xu China 26 632 0.5× 437 0.6× 58 0.2× 25 0.1× 105 0.5× 80 1.6k
William H. Okamura United States 38 1.8k 1.5× 1.1k 1.5× 306 0.9× 58 0.2× 24 0.1× 130 4.9k
Huijing Wang China 23 406 0.3× 701 0.9× 310 0.9× 73 0.2× 124 0.6× 83 1.9k
You Wang China 29 1.2k 1.0× 1.0k 1.4× 50 0.1× 126 0.4× 78 0.4× 98 2.8k
William L. Neumann United States 29 514 0.4× 790 1.1× 692 2.0× 81 0.3× 22 0.1× 92 2.8k
Bhaskar C. Das United States 32 798 0.7× 1.4k 2.0× 224 0.6× 53 0.2× 8 0.0× 111 3.4k
Yoon Kyung Choi South Korea 34 645 0.5× 2.1k 2.9× 245 0.7× 53 0.2× 11 0.1× 97 3.6k
Mark A. Ator United States 37 602 0.5× 1.8k 2.4× 131 0.4× 92 0.3× 129 0.6× 91 3.1k

Countries citing papers authored by Amy Chan

Since Specialization
Citations

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

Fields of papers citing papers by Amy Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Chan. A scholar is included among the top collaborators of Amy Chan 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 Chan. Amy Chan 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.
Datta, Dhrubajyoti, Christopher R. Brown, Jason A. Gilbert, et al.. (2025). Expanding Conjugate Space of RNAi Therapeutics: Ligand at the 3′ End of the Antisense Strand Achieves Uncompromised In Vivo Potency and Efficacy and Reveals Interactions with the Argonaute-2 PAZ Domain. Journal of Medicinal Chemistry. 68(4). 4397–4409. 3 indexed citations
2.
Chan, Amy, Jack Twilton, Jian Jin, et al.. (2023). Exploiting the Marcus inverted region for first-row transition metal–based photoredox catalysis. Science. 382(6667). 191–197. 106 indexed citations breakdown →
3.
Chan, Amy, Ian B. Perry, Noah B. Bissonnette, et al.. (2021). Metallaphotoredox: The Merger of Photoredox and Transition Metal Catalysis. Chemical Reviews. 122(2). 1485–1542. 1242 indexed citations breakdown →
4.
Ticau, Simina, Gautham Sridharan, William Cantley, et al.. (2020). Neurofilament Light Chain as a Biomarker of Hereditary Transthyretin-Mediated Amyloidosis. Neurology. 96(3). e412–e422. 72 indexed citations
5.
Agrawal, Rupesh, Jianbin Ding, Parveen Sen, et al.. (2020). Exploring choroidal angioarchitecture in health and disease using choroidal vascularity index. Progress in Retinal and Eye Research. 77. 100829–100829. 176 indexed citations
6.
Ticau, Simina, Gautham Sridharan, William Cantley, et al.. (2020). Neurofilament Light Chain may Serve As a Biomarker of Neuropathy in Hattr Amyloidosis with Cardiomyopathy. Journal of Cardiac Failure. 26(10). S96–S96. 2 indexed citations
7.
Anderson, Karl E., et al.. (2020). 5-Aminolevulinate dehydratase porphyria: Update on hepatic 5-aminolevulinic acid synthase induction and long-term response to hemin. Molecular Genetics and Metabolism. 131(4). 418–423. 11 indexed citations
8.
Sutherland, Jessica E., Julia Hettinger, Amy Chan, et al.. (2019). Nonclinical Safety Profile of Revusiran, a 1st-Generation GalNAc-siRNA Conjugate for Treatment of Hereditary Transthyretin-Mediated Amyloidosis. Nucleic Acid Therapeutics. 30(1). 33–49. 19 indexed citations
9.
Zimmermann, Tracy, Verena Karsten, Amy Chan, et al.. (2017). Clinical Proof of Concept for a Novel Hepatocyte-Targeting GalNAc-siRNA Conjugate. Molecular Therapy. 25(1). 71–78. 157 indexed citations
10.
Willoughby, Jennifer L. S., Amy Chan, Alfica Sehgal, et al.. (2017). Evaluation of GalNAc-siRNA Conjugate Activity in Pre-clinical Animal Models with Reduced Asialoglycoprotein Receptor Expression. Molecular Therapy. 26(1). 105–114. 86 indexed citations
11.
Chan, Amy, Abigail Liebow, Makiko Yasuda, et al.. (2015). Preclinical Development of a Subcutaneous ALAS1 RNAi Therapeutic for Treatment of Hepatic Porphyrias Using Circulating RNA Quantification. Molecular Therapy — Nucleic Acids. 4. e263–e263. 108 indexed citations
12.
Chan, Amy, et al.. (2010). Supplementation with apple juice can compensate for folate deficiency in a mouse model deficient in methylene tetra hydrofoate reductase activity. The journal of nutrition health & aging. 15(3). 221–225. 2 indexed citations
14.
Chan, Amy, Flaubert Tchantchou, Eugene Rogers, & Thomas B. Shea. (2009). Dietary deficiency increases presenilin expression, gamma‐secretase activity, and Abeta levels: potentiation by ApoE genotype and alleviation by S‐adenosyl methionine. Journal of Neurochemistry. 110(3). 831–836. 28 indexed citations
15.
Chan, Amy, et al.. (2008). Dietary and genetic compromise in folate availability reduces acetylcholine, cognitive performance and increases aggression: Critical role of S-adenosyl methionine. The journal of nutrition health & aging. 12(4). 252–261. 73 indexed citations
17.
Chan, Amy, et al.. (2008). Efficacy of a Vitamin/Nutriceutical Formulation for Early-stage Alzheimer's Disease: A 1-year, Open-label Pilot Study With an 16-Month Caregiver Extension. American Journal of Alzheimer s Disease & Other Dementias®. 23(6). 571–585. 100 indexed citations
20.
Tam, Robert C., Susanna Wu‐Pong, Bharati Pai, et al.. (1999). Increased Potency of an Aptameric G-Rich Oligonucleotide Is Associated with Novel Functional Properties of Phosphorothioate Linkages. Antisense and Nucleic Acid Drug Development. 9(3). 289–300. 8 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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