Alvin Hsu

1.4k total citations · 3 hit papers
8 papers, 744 citations indexed

About

Alvin Hsu is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, Alvin Hsu has authored 8 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Electrical and Electronic Engineering and 1 paper in Organic Chemistry. Recurrent topics in Alvin Hsu's work include CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (3 papers) and RNA Interference and Gene Delivery (2 papers). Alvin Hsu is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (3 papers) and RNA Interference and Gene Delivery (2 papers). Alvin Hsu collaborates with scholars based in United States, China and Poland. Alvin Hsu's co-authors include Gregory A. Newby, Jonathan C. Chen, Andrew V. Anzalone, Kelcee A. Everette, Simon P. Shen, James W. Nelson, Peter J. Chen, Meirui An, Peyton B. Randolph and David Liu and has published in prestigious journals such as Nature Communications, Nature Biotechnology and The Journal of Antibiotics.

In The Last Decade

Alvin Hsu

8 papers receiving 732 citations

Hit Papers

Engineered pegRNAs improve prime editing efficiency 2021 2026 2022 2024 2021 2022 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alvin Hsu United States 6 691 192 91 44 42 8 744
Purnima Ravisankar United States 6 722 1.0× 202 1.1× 89 1.0× 47 1.1× 47 1.1× 6 768
Elliot O. Eton United States 4 659 1.0× 189 1.0× 85 0.9× 56 1.3× 44 1.0× 6 720
Friederike Knipping United States 5 582 0.8× 191 1.0× 72 0.8× 53 1.2× 39 0.9× 5 641
Kelcee A. Everette United States 5 736 1.1× 231 1.2× 91 1.0× 44 1.0× 58 1.4× 7 789
Meirui An United States 5 824 1.2× 255 1.3× 88 1.0× 42 1.0× 64 1.5× 6 883
Amanda L. Waterbury United States 7 669 1.0× 197 1.0× 68 0.7× 34 0.8× 68 1.6× 11 705
Gue‐Ho Hwang South Korea 14 597 0.9× 173 0.9× 69 0.8× 29 0.7× 63 1.5× 23 631
Euihwan Jeong South Korea 7 814 1.2× 168 0.9× 95 1.0× 41 0.9× 95 2.3× 11 874
Su Bin Moon South Korea 7 623 0.9× 132 0.7× 79 0.9× 25 0.6× 87 2.1× 8 650
Karl Petri United States 10 485 0.7× 165 0.9× 56 0.6× 54 1.2× 33 0.8× 14 528

Countries citing papers authored by Alvin Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Alvin Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alvin Hsu

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

All Works

8 of 8 papers shown
1.
Wuest, Alexandra, Alvin Hsu, Varun Narendra, et al.. (2024). High-throughput evaluation of genetic variants with prime editing sensor libraries. Nature Biotechnology. 43(10). 1648–1662. 27 indexed citations
2.
Chen, Hongyu, Abhishek Aditham, Yiming Zhou, et al.. (2024). Branched chemically modified poly(A) tails enhance the translation capacity of mRNA. Nature Biotechnology. 43(2). 194–203. 63 indexed citations breakdown →
3.
Neugebauer, Monica E., Alvin Hsu, Mandana Arbab, et al.. (2022). Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activity. Nature Biotechnology. 41(5). 673–685. 156 indexed citations breakdown →
4.
Chen, Jonathan C., Max W. Shen, Michael Wornow, et al.. (2022). Generating experimentally unrelated target molecule-binding highly functionalized nucleic-acid polymers using machine learning. Nature Communications. 13(1). 4541–4541. 15 indexed citations
5.
Nelson, James W., Peyton B. Randolph, Simon P. Shen, et al.. (2021). Engineered pegRNAs improve prime editing efficiency. Nature Biotechnology. 40(3). 402–410. 463 indexed citations breakdown →
6.
Hara, Tomoaki, et al.. (2021). Detection Of Die Attach Defects Through Rapid Thermal Transient Tests. 117–118. 1 indexed citations
8.
Hsu, Alvin, et al.. (2012). Understanding HALT application in desktop, NB and Server. 1–6. 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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