Amy Yan

1.2k total citations
22 papers, 952 citations indexed

About

Amy Yan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Amy Yan has authored 22 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Organic Chemistry. Recurrent topics in Amy Yan's work include Advanced biosensing and bioanalysis techniques (14 papers), RNA Interference and Gene Delivery (9 papers) and CRISPR and Genetic Engineering (5 papers). Amy Yan is often cited by papers focused on Advanced biosensing and bioanalysis techniques (14 papers), RNA Interference and Gene Delivery (9 papers) and CRISPR and Genetic Engineering (5 papers). Amy Yan collaborates with scholars based in United States, Germany and Brazil. Amy Yan's co-authors include Matthew Levy, David Soriano del Amo, Wei Wang, Peng Wu, Hao Jiang, Yi Liu, Florence L. Marlow, Keith E. Maier, Andrew D. Ellington and S. Hani Najafi‐Shoushtari and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Amy Yan

20 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amy Yan United States	13	815	279	150	109	52	22	952
Nina Svensen United Kingdom	13	1.2k 1.5×	146 0.5×	95 0.6×	121 1.1×	28 0.5×	17	1.4k
Masahiro Wakao Japan	18	425 0.5×	323 1.2×	67 0.4×	81 0.7×	106 2.0×	42	735
Zhenkun Na Singapore	16	865 1.1×	194 0.7×	84 0.6×	48 0.4×	62 1.2×	31	1.1k
Klaus Braun Germany	18	473 0.6×	281 1.0×	154 1.0×	195 1.8×	18 0.3×	49	913
Pete Crisalli United States	9	1.2k 1.5×	371 1.3×	76 0.5×	116 1.1×	36 0.7×	14	1.6k
Ying Zeng China	8	503 0.6×	282 1.0×	140 0.9×	62 0.6×	81 1.6×	19	672
Ghyslain Budin United States	15	446 0.5×	312 1.1×	118 0.8×	238 2.2×	34 0.7×	21	791
Nicolas Laurent United Kingdom	13	618 0.8×	280 1.0×	140 0.9×	109 1.0×	68 1.3×	26	779
Frank V. Cochran United States	11	402 0.5×	107 0.4×	157 1.0×	78 0.7×	37 0.7×	15	665
Brian R. McNaughton United States	14	807 1.0×	447 1.6×	108 0.7×	54 0.5×	22 0.4×	23	1.1k

Countries citing papers authored by Amy Yan

Since Specialization

Citations

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

Fields of papers citing papers by Amy Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Yan

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

All Works

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20 of 20 papers shown

Yu, Haixiang, George A. Pitoc, James W. Frederiksen, et al.. (2025). An Aptamer‐Based EXACT Anticoagulant as a Sustainable, Animal‐Free Alternative to Unfractionated Heparin. Advanced Science. 13(4). e09867–e09867.

Yu, Haixiang, Juan Canoura, Obtin Alkhamis, et al.. (2025). Improving Aptamer Affinity and Determining Sequence–Activity Relationships via Motif-SELEX. Journal of the American Chemical Society. 147(11). 9472–9486. 9 indexed citations

Yan, Amy, et al.. (2024). Reversible Aptamer Staining, Sorting, and Cleaning of Cells (Clean FACS) with Antidote Oligonucleotide or Nuclease Yields Fully Responsive Cells. Nucleic Acid Therapeutics. 34(1). 12–17. 2 indexed citations

Yu, Haixiang, James W. Frederiksen, George A. Pitoc, et al.. (2024). Aptameric hirudins as selective and reversible EXosite-ACTive site (EXACT) inhibitors. Nature Communications. 15(1). 3977–3977. 6 indexed citations

Yu, Haixiang, et al.. (2023). An Aptamer That Rapidly Internalizes into Cancer Cells Utilizes the Transferrin Receptor Pathway. Cancers. 15(8). 2301–2301. 5 indexed citations

Corsi, Giulia I., et al.. (2023). Utilizing directed evolution to interrogate and optimize CRISPR/Cas guide RNA scaffolds. Cell chemical biology. 30(8). 879–892.e5. 5 indexed citations

Jin, Meiyan, Bowen Wang, Amy Yan, et al.. (2022). Branched actin networks are organized for asymmetric force production during clathrin-mediated endocytosis in mammalian cells. Nature Communications. 13(1). 3578–3578. 18 indexed citations

Maier, Keith E., et al.. (2021). A comparative analysis of cell surface targeting aptamers. Nature Communications. 12(1). 6275–6275. 68 indexed citations

Kratschmer, Christina, et al.. (2016). Improved Synthesis and In Vitro Evaluation of an Aptamer Ribosomal Toxin Conjugate. Nucleic Acid Therapeutics. 26(3). 156–165. 14 indexed citations

10.

Yan, Amy & Matthew Levy. (2013). Cell Internalization SELEX: In Vitro Selection for Molecules That Internalize into Cells. Methods in molecular biology. 1103. 241–265. 26 indexed citations

11.

Wilner, Samantha E., Keith E. Maier, David Soriano del Amo, et al.. (2012). An RNA Alternative to Human Transferrin: A New Tool for Targeting Human Cells. Molecular Therapy — Nucleic Acids. 1. e21–e21. 111 indexed citations

12.

Byrom, Michelle, Amy Yan, Na Li, et al.. (2012). A General RNA Motif for Cellular Transfection. Molecular Therapy. 20(3). 616–624. 30 indexed citations

13.

Pastore, Chiara, Irini Topalidou, F. Forouhar, et al.. (2011). Crystal Structure and RNA Binding Properties of the RNA Recognition Motif (RRM) and AlkB Domains in Human AlkB Homolog 8 (ABH8), an Enzyme Catalyzing tRNA Hypermodification. Journal of Biological Chemistry. 287(3). 2130–2143. 66 indexed citations

14.

Amo, David Soriano del, Wei Wang, Hao Jiang, et al.. (2010). Biocompatible Copper(I) Catalysts for in Vivo Imaging of Glycans. Journal of the American Chemical Society. 132(47). 16893–16899. 328 indexed citations

15.

Yan, Amy & Matthew Levy. (2009). Aptamers and aptamer targeted delivery. RNA Biology. 6(3). 316–320. 62 indexed citations

16.

Kiziltepe, Tanyel, et al.. (2005). Delineation of the Chemical Pathways Underlying Nitric Oxide-Induced Homologous Recombination in Mammalian Cells. Chemistry & Biology. 12(3). 357–369. 32 indexed citations

17.

Hartig, Jörg S., et al.. (2002). Protein-dependent ribozymes report molecular interactions in real time. Nature Biotechnology. 20(7). 717–722. 119 indexed citations

18.

Yan, Amy & Andrew D. Ellington. (2002). Aptamers as Potential Diagnostic Reagents for Diabetes. Diabetes Technology & Therapeutics. 4(3). 339–346. 2 indexed citations

19.

Baskerville, Scott, et al.. (1999). Polyvalent Rev Decoys Act as Artificial Rev-Responsive Elements. Journal of Virology. 73(5). 4341–4349. 17 indexed citations

20.

Yan, Amy. (1998). Hot Tea or Hot Air? Immunomodulatory Effects of Panax Ginseng in the Prevention of Cancer. eScholarship (California Digital Library). 4(1). 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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