Darren Yang

1.4k total citations
23 papers, 1.1k citations indexed

About

Darren Yang is a scholar working on Molecular Biology, Biomedical Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Darren Yang has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Biomedical Engineering and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Darren Yang's work include Force Microscopy Techniques and Applications (7 papers), DNA and Nucleic Acid Chemistry (5 papers) and DNA Repair Mechanisms (3 papers). Darren Yang is often cited by papers focused on Force Microscopy Techniques and Applications (7 papers), DNA and Nucleic Acid Chemistry (5 papers) and DNA Repair Mechanisms (3 papers). Darren Yang collaborates with scholars based in United States, France and Singapore. Darren Yang's co-authors include Wesley P. Wong, Gaurav Arya, Shyni Varghese, Yan Jiang, Fernando Terán Arce, Ratnesh Lal, Aereas Aung, Ramsés Ayala, Chao Zhang and Yongsung Hwang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Darren Yang

23 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darren Yang United States 15 437 335 152 126 92 23 1.1k
Marianne Weidenhaupt France 16 387 0.9× 159 0.5× 67 0.4× 35 0.3× 45 0.5× 42 815
Nancy E. Liyou Australia 13 347 0.8× 210 0.6× 432 2.8× 83 0.7× 149 1.6× 19 1.1k
Andreas Zumbuehl Switzerland 19 689 1.6× 468 1.4× 544 3.6× 31 0.2× 85 0.9× 57 1.6k
Regina Tavano Italy 20 440 1.0× 194 0.6× 326 2.1× 32 0.3× 60 0.7× 40 1.2k
Ju Hun Yeon South Korea 18 614 1.4× 669 2.0× 112 0.7× 66 0.5× 82 0.9× 23 1.4k
James D. Firth Canada 24 466 1.1× 291 0.9× 88 0.6× 43 0.3× 137 1.5× 58 1.9k
François Huber Switzerland 15 433 1.0× 380 1.1× 74 0.5× 36 0.3× 99 1.1× 27 1.5k
Shouqin Lü China 22 620 1.4× 349 1.0× 40 0.3× 34 0.3× 106 1.2× 76 1.5k
Mon‐Juan Lee Taiwan 23 616 1.4× 285 0.9× 93 0.6× 18 0.1× 137 1.5× 66 1.4k

Countries citing papers authored by Darren Yang

Since Specialization
Citations

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

Fields of papers citing papers by Darren Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darren Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Darren Yang. A scholar is included among the top collaborators of Darren 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 Darren Yang. Darren Yang 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.
Shrestha, Prakash, Darren Yang, Andrew Ward, William M. Shih, & Wesley P. Wong. (2023). Mapping Single-Molecule Protein Complexes in 3D with DNA Nanoswitch Calipers. Journal of the American Chemical Society. 145(51). 27916–27921. 2 indexed citations
2.
Luo, Yi, et al.. (2023). Resolving Molecular Heterogeneity with Single-Molecule Centrifugation. Journal of the American Chemical Society. 145(6). 3276–3282. 8 indexed citations
3.
Yang, Darren, et al.. (2023). A Study Of The Reliability Of Crypto Data Provision. SSRN Electronic Journal. 1 indexed citations
4.
Jiang, Yan, et al.. (2022). Conformation of von Willebrand factor in shear flow revealed with stroboscopic single-molecule imaging. Blood. 140(23). 2490–2499. 11 indexed citations
5.
Mulhall, Eric M., et al.. (2021). Single-molecule force spectroscopy reveals the dynamic strength of the hair-cell tip-link connection. Nature Communications. 12(1). 849–849. 19 indexed citations
6.
Chandrasekaran, Arun Richard, et al.. (2021). DNA Nanoswitch Barcodes for Multiplexed Biomarker Profiling. Nano Letters. 21(1). 469–475. 34 indexed citations
7.
Shrestha, Prakash, Darren Yang, Toma E. Tomov, et al.. (2021). Single-molecule mechanical fingerprinting with DNA nanoswitch calipers. Nature Nanotechnology. 16(12). 1362–1370. 27 indexed citations
8.
Wu, Bin, Sehoon Park, Darren Yang, et al.. (2020). Dual functions of Aire CARD multimerization in the transcriptional regulation of T cell tolerance. Nature Communications. 11(1). 1625–1625. 21 indexed citations
9.
Jiang, Yan, et al.. (2020). Stretching DNA to twice the normal length with single-molecule hydrodynamic trapping. Lab on a Chip. 20(10). 1780–1791. 7 indexed citations
10.
Hansen, Clinton H., et al.. (2017). Nanoswitch-linked immunosorbent assay (NLISA) for fast, sensitive, and specific protein detection. Proceedings of the National Academy of Sciences. 114(39). 10367–10372. 40 indexed citations
11.
Fu, Hongxia, Yan Jiang, Darren Yang, et al.. (2017). Flow-induced elongation of von Willebrand factor precedes tension-dependent activation. Nature Communications. 8(1). 324–324. 150 indexed citations
12.
Yang, Darren & Wesley P. Wong. (2017). Repurposing a Benchtop Centrifuge for High-Throughput Single-Molecule Force Spectroscopy. Methods in molecular biology. 1665. 353–366. 4 indexed citations
13.
Yang, Darren, Andrew Ward, Ken Halvorsen, & Wesley P. Wong. (2016). Multiplexed single-molecule force spectroscopy using a centrifuge. Nature Communications. 7(1). 11026–11026. 69 indexed citations
14.
Yang, Darren, et al.. (2015). Integrating multi-scale data on homologous recombination into a new recognition mechanism based on simulations of the RecA-ssDNA/dsDNA structure. Nucleic Acids Research. 43(21). gkv883–gkv883. 41 indexed citations
15.
Danilowicz, Claudia, Darren Yang, Craig Kelley, Chantal Prévost, & Mara Prentiss. (2015). The poor homology stringency in the heteroduplex allows strand exchange to incorporate desirable mismatches without sacrificing recognitionin vivo. Nucleic Acids Research. 43(13). 6473–6485. 29 indexed citations
16.
Vlassakis, Julea, Efraim Feinstein, Darren Yang, et al.. (2013). Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange. Physical Review E. 87(3). 16 indexed citations
17.
Yang, Darren, et al.. (2012). Complementary strand relocation may play vital roles in RecA-based homology recognition. Nucleic Acids Research. 40(20). 10441–10451. 22 indexed citations
18.
Ayala, Ramsés, Chao Zhang, Darren Yang, et al.. (2011). Engineering the cell–material interface for controlling stem cell adhesion, migration, and differentiation. Biomaterials. 32(15). 3700–3711. 275 indexed citations
19.
Yang, Darren & Gaurav Arya. (2010). Structure and binding of the H4 histone tail and the effects of lysine 16 acetylation. Physical Chemistry Chemical Physics. 13(7). 2911–2921. 54 indexed citations
20.
Sangaj, Nivedita, Phillip Kyriakakis, Darren Yang, et al.. (2010). Heparin Mimicking Polymer Promotes Myogenic Differentiation of Muscle Progenitor Cells. Biomacromolecules. 11(12). 3294–3300. 57 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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