Jason Yang

988 total citations · 3 hit papers
20 papers, 666 citations indexed

About

Jason Yang is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Jason Yang has authored 20 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Molecular Biology and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Jason Yang's work include Membrane-based Ion Separation Techniques (4 papers), Membrane Separation Technologies (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Jason Yang is often cited by papers focused on Membrane-based Ion Separation Techniques (4 papers), Membrane Separation Technologies (3 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Jason Yang collaborates with scholars based in United States, Australia and Taiwan. Jason Yang's co-authors include Ying Li, Frances H. Arnold, Jeffrey R. McCutcheon, Jinlong He, Lei Tao, Jinlong He, Menachem Elimelech, Mohammad Heiranian, Qilin Li and Cassandra J. Porter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jason Yang

17 papers receiving 656 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning enables interpretable discovery of innovative polymers for gas separation membranes

2022 157 citations Jason Yang, Lei Tao et al. Science Advances profile →
Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering

2024 112 citations Jason Yang, Frances H. Arnold et al. ACS Central Science profile →
Active learning-assisted directed evolution

2025 18 citations Jason Yang, Sukhvinder Kaur et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason Yang United States	11	254	245	199	167	131	20	666
Amit A. Nagarkar United States	14	70 0.3×	164 0.7×	29 0.1×	81 0.5×	94 0.7×	22	458
Yafeng Deng China	14	374 1.5×	77 0.3×	21 0.1×	269 1.6×	73 0.6×	41	633
Qianqian Du China	16	183 0.7×	65 0.3×	93 0.5×	134 0.8×	58 0.4×	46	715
Monika Krasowska Poland	14	60 0.2×	162 0.7×	207 1.0×	57 0.3×	49 0.4×	42	477
Wai Kuan Wong Singapore	9	116 0.5×	255 1.0×	20 0.1×	411 2.5×	22 0.2×	10	674
Michael Kather Germany	13	42 0.2×	188 0.8×	27 0.1×	88 0.5×	40 0.3×	23	532
Bilal Khalid China	13	265 1.0×	95 0.4×	23 0.1×	253 1.5×	22 0.2×	19	533
Scott R. Smith Canada	14	219 0.9×	163 0.7×	76 0.4×	144 0.9×	48 0.4×	21	534
Diego Pintossi Netherlands	11	201 0.8×	287 1.2×	153 0.8×	128 0.8×	26 0.2×	16	525

Countries citing papers authored by Jason Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jason Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Yang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Jason, et al.. (2026). Sequence-based generative AI design of versatile tryptophan synthases. Nature Communications. 17(1). 1680–1680.

Wittmann, Bruce J., Jennifer L. Kennemur, Hayden M. Carder, et al.. (2025). Enzyme Engineering Database (EnzEngDB): a platform for sharing and interpreting sequence–function relationships across protein engineering campaigns. Nucleic Acids Research. 54(D1). D564–D571. 1 indexed citations

Yang, Jason, et al.. (2025). Evaluation of machine learning-assisted directed evolution across diverse combinatorial landscapes. Cell Systems. 16(9). 101387–101387.

Yang, Jason, et al.. (2025). Illuminating the universe of enzyme catalysis in the era of artificial intelligence. Cell Systems. 17(2). 101372–101372. 1 indexed citations

Yang, Jason, et al.. (2025). Active learning-assisted directed evolution. Nature Communications. 16(1). 714–714. 18 indexed citations breakdown →

Johnston, Kadina E., Patrick J. Almhjell, Ella J. Watkins‐Dulaney, et al.. (2024). A combinatorially complete epistatic fitness landscape in an enzyme active site. Proceedings of the National Academy of Sciences. 121(32). e2400439121–e2400439121. 11 indexed citations

Yang, Jason, et al.. (2024). Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering. ACS Central Science. 10(2). 226–241. 112 indexed citations breakdown →

Anandkumar, Anima, Frances H. Arnold, Shengchao Liu, et al.. (2024). CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes. 3094–3121.

Yang, Jason, et al.. (2023). DeCOIL: Optimization of Degenerate Codon Libraries for Machine Learning-Assisted Protein Engineering. ACS Synthetic Biology. 12(8). 2444–2454. 13 indexed citations

10.

Yang, Jason, et al.. (2023). Psychosocial Burden of Pediatric and Adult Patients With Congenital Versus Traumatic Facial Differences. Annals of Plastic Surgery. 90(5S). S305–S311. 1 indexed citations

11.

Yang, Jason, Lei Tao, Jinlong He, Jeffrey R. McCutcheon, & Ying Li. (2022). Machine learning enables interpretable discovery of innovative polymers for gas separation membranes. Science Advances. 8(29). eabn9545–eabn9545. 157 indexed citations breakdown →

12.

He, Jinlong, Jason Yang, Jeffrey R. McCutcheon, & Ying Li. (2022). Molecular insights into the structure-property relationships of 3D printed polyamide reverse-osmosis membrane for desalination. Journal of Membrane Science. 658. 120731–120731. 41 indexed citations

13.

DuChanois, Ryan M., Mohammad Heiranian, Jason Yang, et al.. (2022). Designing polymeric membranes with coordination chemistry for high-precision ion separations. Science Advances. 8(9). eabm9436–eabm9436. 107 indexed citations

14.

He, Jinlong, Jason Yang, Jeffrey R. McCutcheon, & Ying Li. (2022). Molecular Insights into the Structure-Property Relationships of 3d Printed Polyamide Reverse-Osmosis Membrane for Desalination. SSRN Electronic Journal. 2 indexed citations

15.

Yang, Jason, Zhiqiang Shen, Jinlong He, & Ying Li. (2021). Efficient separation of small organic contaminants in water using functionalized nanoporous graphene membranes: Insights from molecular dynamics simulations. Journal of Membrane Science. 630. 119331–119331. 42 indexed citations

16.

Zucker, Ines, Sara M. Hashmi, Jason Yang, et al.. (2019). Shape-Dependent Interactions of Manganese Oxide Nanomaterials with Lipid Bilayer Vesicles. Langmuir. 35(43). 13958–13966. 5 indexed citations

17.

Ji, Fei, Li Wang, Jason Yang, et al.. (2018). Highly compact, free-standing porous electrodes from polymer-derived nanoporous carbons for efficient electrochemical capacitive deionization. Journal of Materials Chemistry A. 7(4). 1768–1778. 49 indexed citations

18.

Wang, Weicheng, et al.. (2015). Efficiency Enhancement of Nanotextured Black Silicon Solar Cells Using Al₂O₃/TiO₂Dual-Layer Passivation Stack Prepared by Atomic Layer Deposition. ACS Applied Materials & Interfaces. 7(19). 10228–10237. 48 indexed citations

19.

Wang, Weicheng, Che-Wei Lin, Jason Yang, et al.. (2014). Efficiency Enhancement and Anti-Corrosion Protection on Silicon Solar Cells by Atomic-Layer-Deposited Al₂O₃Conformal Shell Layer on Antireflective ZnO Nanorod Array. ECS Journal of Solid State Science and Technology. 3(11). Q221–Q226. 3 indexed citations

20.

Long, R. D., Christine M. Jackson, Jason Yang, et al.. (2013). Interface trap evaluation of Pd/Al₂O₃/GaN metal oxide semiconductor capacitors and the influence of near-interface hydrogen. Applied Physics Letters. 103(20). 201607–201607. 55 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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