Amy Li

14.8k total citations · 4 hit papers
148 papers, 9.5k citations indexed

About

Amy Li is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Immunology. According to data from OpenAlex, Amy Li has authored 148 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 35 papers in Cardiology and Cardiovascular Medicine and 20 papers in Immunology. Recurrent topics in Amy Li's work include Cardiomyopathy and Myosin Studies (24 papers), Wound Healing and Treatments (11 papers) and Immune Cell Function and Interaction (10 papers). Amy Li is often cited by papers focused on Cardiomyopathy and Myosin Studies (24 papers), Wound Healing and Treatments (11 papers) and Immune Cell Function and Interaction (10 papers). Amy Li collaborates with scholars based in United States, Australia and Netherlands. Amy Li's co-authors include Goodarz Ahmadi, Pritinder Kaur, Michael C. Bassik, David W. Morgens, Gaelen T. Hess, Paul J. Simmons, Kyuho Han, Cristobal G. dos Remedios, Christophe Benoıst and Jongsoon Lee and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Amy Li

147 papers receiving 9.3k citations

Hit Papers

PPAR-γ is a major driver of the ac... 1992 2026 2003 2014 2012 1992 2017 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Li United States 49 3.7k 1.8k 1.0k 909 861 148 9.5k
Ryōji Kobayashi Japan 45 3.4k 0.9× 886 0.5× 1.3k 1.2× 290 0.3× 611 0.7× 415 8.1k
Roland Kaufmann Germany 57 3.4k 0.9× 2.5k 1.3× 2.1k 2.1× 293 0.3× 1.6k 1.8× 489 12.1k
D. Goldstein United States 46 1.8k 0.5× 596 0.3× 804 0.8× 219 0.2× 1.2k 1.4× 177 9.4k
Feng Chen China 64 9.7k 2.6× 2.1k 1.1× 1.4k 1.4× 749 0.8× 1.3k 1.5× 730 19.1k
Akira Itô Japan 69 5.8k 1.6× 1.5k 0.8× 1.5k 1.4× 643 0.7× 861 1.0× 565 17.7k
James P. White United States 43 4.0k 1.1× 704 0.4× 399 0.4× 686 0.8× 1.3k 1.5× 104 8.8k
Takashi Yamane Japan 40 2.7k 0.7× 383 0.2× 588 0.6× 247 0.3× 1.4k 1.6× 377 8.1k
Peter G. Smith United States 47 3.0k 0.8× 740 0.4× 1.1k 1.1× 505 0.6× 565 0.7× 250 7.9k
John M. Graham United States 69 6.0k 1.6× 500 0.3× 432 0.4× 356 0.4× 696 0.8× 502 17.9k
Paul Harrison United Kingdom 59 5.0k 1.3× 1.6k 0.9× 788 0.8× 2.5k 2.7× 886 1.0× 227 13.9k

Countries citing papers authored by Amy Li

Since Specialization
Citations

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

Fields of papers citing papers by Amy Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Li

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Li. A scholar is included among the top collaborators of Amy Li 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 Li. Amy Li 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.
Li, Amy, Mengbo Li, Yen Chin Koay, et al.. (2024). Myocardial Posttranscriptional Landscape in Peripartum Cardiomyopathy. Circulation Heart Failure. 17(12). e011725–e011725. 2 indexed citations
2.
Pogson, Angela N., Eric Sun, Robin W. Yeo, et al.. (2024). CRISPR–Cas9 screens reveal regulators of ageing in neural stem cells. Nature. 634(8036). 1150–1159. 33 indexed citations
3.
Tang, Anna A., et al.. (2023). Affimers targeting proteins in the cardiomyocyte Z-disc: Novel tools that improve imaging of heart tissue. Frontiers in Cardiovascular Medicine. 10. 1094563–1094563. 3 indexed citations
4.
Oto, Özgür Akın, et al.. (2023). Metformin does not slow cyst growth in the PCK rat model of polycystic kidney disease. Physiological Reports. 11(17). e15776–e15776.
5.
Shah, Nakul M., H. Josh Jang, Yonghao Liang, et al.. (2023). Pan-cancer analysis identifies tumor-specific antigens derived from transposable elements. Nature Genetics. 55(4). 631–639. 77 indexed citations
6.
Su, Qi, Qin Liu, Lin Zhang, et al.. (2022). Antibiotics and probiotics impact gut antimicrobial resistance gene reservoir in COVID-19 patients. Gut Microbes. 14(1). 2128603–2128603. 10 indexed citations
7.
Ng, Siew C., Ye Peng, Lin Zhang, et al.. (2022). Gut microbiota composition is associated with SARS-CoV-2 vaccine immunogenicity and adverse events. Gut. 71(6). 1106–1116. 111 indexed citations
8.
Liu, Qin, Qi Su, Fen Zhang, et al.. (2022). Multi-kingdom gut microbiota analyses define COVID-19 severity and post-acute COVID-19 syndrome. Nature Communications. 13(1). 6806–6806. 45 indexed citations
9.
Jackson, Dan, Benjamin Hunter, Lisa Turner, et al.. (2021). Models of Cardiovascular Surgery Biobanking to Facilitate Translational Research and Precision Medicine. ESC Heart Failure. 9(1). 21–30. 10 indexed citations
10.
Li, Amy, Shane R. Nelson, Filip Braet, et al.. (2019). Skeletal MyBP-C isoforms tune the molecular contractility of divergent skeletal muscle systems. Proceedings of the National Academy of Sciences. 116(43). 21882–21892. 29 indexed citations
11.
Li, Amy, et al.. (2019). Pathogenesis and pathophysiology of heart failure with reduced ejection fraction: translation to human studies. Heart Failure Reviews. 24(5). 743–758. 29 indexed citations
12.
Tsui, C. Kimberly, Robyn M. Barfield, Curt R. Fischer, et al.. (2019). CRISPR-Cas9 screens identify regulators of antibody–drug conjugate toxicity. Nature Chemical Biology. 15(10). 949–958. 54 indexed citations
13.
Morgens, David W., N. Weir, Amy Li, et al.. (2019). Retro-2 protects cells from ricin toxicity by inhibiting ASNA1-mediated ER targeting and insertion of tail-anchored proteins. eLife. 8. 16 indexed citations
14.
Kramer, Nicholas J., Michael S. Haney, David W. Morgens, et al.. (2018). CRISPR–Cas9 screens in human cells and primary neurons identify modifiers of C9ORF72 dipeptide-repeat-protein toxicity. Nature Genetics. 50(4). 603–612. 160 indexed citations
15.
Li, Amy, et al.. (2018). What’s normal? Should urinary creatinine or osmolarity be used to normalise urinary protein measurements?. 1 indexed citations
16.
Vikhorev, Petr G., O’Neal Copeland, Sawa Kostin, et al.. (2017). Abnormal contractility in human heart myofibrils from patients with dilated cardiomyopathy due to mutations in TTN and contractile protein genes. Scientific Reports. 7(1). 14829–14829. 40 indexed citations
17.
Lin, Zhiqiang, Hai-dong Guo, Yuan Cao, et al.. (2016). Acetylation of VGLL4 Regulates Hippo-YAP Signaling and Postnatal Cardiac Growth. Developmental Cell. 39(4). 466–479. 90 indexed citations
18.
Reed, Kenneth L., et al.. (2016). Enhancement of Ocular In Situ Gelling Properties of Low Acyl Gellan Gum by Use of Ion Exchange. Journal of Ocular Pharmacology and Therapeutics. 32(9). 574–582. 19 indexed citations
19.
Li, Amy, Eleanor Kable, Jolanda van der Velden, et al.. (2013). A New Functional Measure of Contractility in Human Cardiomyopathies. Biophysical Journal. 104(2). 37a–37a. 1 indexed citations
20.
Li, Amy, et al.. (2007). Effects of honey versus sucrose on weight gain, adiposity and adipocentric markers of metabolism. The FASEB Journal. 21(6). 5 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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