Albert T. Chen

895 total citations
9 papers, 321 citations indexed

About

Albert T. Chen is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Albert T. Chen has authored 9 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Spectroscopy. Recurrent topics in Albert T. Chen's work include CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (3 papers) and Virus-based gene therapy research (2 papers). Albert T. Chen is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (3 papers) and Virus-based gene therapy research (2 papers). Albert T. Chen collaborates with scholars based in United States, Egypt and Denmark. Albert T. Chen's co-authors include Nikolai Slavov, Yujia A. Chan, Benjamin E. Deverman, Alexander Franks, Shing H. Zhan, Harrison Specht, R. Gray Huffman, Qingxia Zheng, Ken Y. Chan and Isabelle G. Tobey and has published in prestigious journals such as Science, Nature Communications and Development.

In The Last Decade

Albert T. Chen

9 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Albert T. Chen United States	8	212	83	71	64	25	9	321
Matti F. Pronker Netherlands	10	216 1.0×	40 0.5×	17 0.2×	49 0.8×	9 0.4×	17	337
Ben T. Jordan United States	7	188 0.9×	21 0.3×	31 0.4×	24 0.4×	8 0.3×	17	258
Wesley D. Penn United States	10	288 1.4×	18 0.2×	63 0.9×	18 0.3×	8 0.3×	17	380
Ole B. Hørning Denmark	8	244 1.2×	90 1.1×	30 0.4×	9 0.1×	15 0.6×	8	361
Urraca Tavarez United States	7	321 1.5×	15 0.2×	56 0.8×	13 0.2×	4 0.2×	9	497
Aman Makaju United States	9	267 1.3×	48 0.6×	28 0.4×	8 0.1×	6 0.2×	11	343
Damiano Cianferoni Spain	6	239 1.1×	11 0.1×	56 0.8×	50 0.8×	9 0.4×	9	337
Vaksha Amin United Kingdom	7	303 1.4×	29 0.3×	27 0.4×	7 0.1×	7 0.3×	8	371
Robert Fragoza United States	10	397 1.9×	35 0.4×	101 1.4×	25 0.4×	3 0.1×	15	483
Deepti Rao United States	9	276 1.3×	15 0.2×	18 0.3×	28 0.4×	3 0.1×	12	422

Countries citing papers authored by Albert T. Chen

Since Specialization

Citations

This map shows the geographic impact of Albert T. Chen'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 Albert T. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert T. Chen more than expected).

Fields of papers citing papers by Albert T. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert T. Chen. 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 Albert T. Chen. The network helps show where Albert T. Chen may publish in the future.

Co-authorship network of co-authors of Albert T. Chen

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

All Works

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9 of 9 papers shown

1.

Witte, Isaac P., Shannon M. Miller, Kiara N. Berríos, et al.. (2025). Programmable gene insertion in human cells with a laboratory-evolved CRISPR-associated transposase. Science. 388(6748). eadt5199–eadt5199. 17 indexed citations

2.

Eid, Fatma-Elzahraa, Albert T. Chen, Ken Y. Chan, et al.. (2024). Systematic multi-trait AAV capsid engineering for efficient gene delivery. Nature Communications. 15(1). 6602–6602. 29 indexed citations

3.

Huang, Qin, Albert T. Chen, Ken Y. Chan, et al.. (2023). Targeting AAV vectors to the central nervous system by engineering capsid–receptor interactions that enable crossing of the blood–brain barrier. PLoS Biology. 21(7). e3002112–e3002112. 43 indexed citations

4.

Chan, Ken Y., Luke Kaplan, Qin Huang, et al.. (2022). A high-efficiency AAV for endothelial cell transduction throughout the central nervous system. Nature Cardiovascular Research. 1(4). 389–400. 53 indexed citations

5.

Chen, Albert T., et al.. (2021). COVID-19 CG enables SARS-CoV-2 mutation and lineage tracking by locations and dates of interest. eLife. 10. 71 indexed citations

6.

Chen, Albert T., Alexander Franks, & Nikolai Slavov. (2019). DART-ID increases single-cell proteome coverage. PLoS Computational Biology. 15(7). e1007082–e1007082. 46 indexed citations

7.

Huffman, R. Gray, Albert T. Chen, Harrison Specht, & Nikolai Slavov. (2019). DO-MS: Data-Driven Optimization of Mass Spectrometry Methods. Journal of Proteome Research. 18(6). 2493–2500. 44 indexed citations

8.

Delaney, Colin, Albert T. Chen, Jacqueline Graniel, Kathleen J. Dumas, & Patrick J Hu. (2017). A histone H4 lysine 20 methyltransferase couples environmental cues to sensory neuron control of developmental plasticity. Development. 144(7). 1273–1282. 17 indexed citations

9.

Chen, Albert T.. (1988). PETAL3; PEnetration Testing and Liquefaction; an interactive computer program. Antarctica A Keystone in a Changing World. 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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