Lee‐Wei Yang

2.7k total citations
42 papers, 2.1k citations indexed

About

Lee‐Wei Yang is a scholar working on Molecular Biology, Materials Chemistry and Cell Biology. According to data from OpenAlex, Lee‐Wei Yang has authored 42 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Materials Chemistry and 7 papers in Cell Biology. Recurrent topics in Lee‐Wei Yang's work include Protein Structure and Dynamics (22 papers), Enzyme Structure and Function (13 papers) and RNA and protein synthesis mechanisms (5 papers). Lee‐Wei Yang is often cited by papers focused on Protein Structure and Dynamics (22 papers), Enzyme Structure and Function (13 papers) and RNA and protein synthesis mechanisms (5 papers). Lee‐Wei Yang collaborates with scholars based in Taiwan, United States and Japan. Lee‐Wei Yang's co-authors include İvet Bahar, Eran Eyal, Timothy R. Lezon, Chakra Chennubhotla, Hongchun Li, Choon‐Peng Chng, A.J. Rader, Akio Kitao, Ji Young Lee and Jun‐Goo Jee and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Lee‐Wei Yang

41 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee‐Wei Yang Taiwan 16 1.7k 664 296 201 188 42 2.1k
Carlos X. Hernández United States 8 1.6k 0.9× 498 0.8× 250 0.8× 115 0.6× 249 1.3× 12 2.1k
Christoph Klein United States 8 1.7k 1.0× 576 0.9× 249 0.8× 118 0.6× 257 1.4× 16 2.5k
Eran Eyal Israel 28 2.8k 1.6× 607 0.9× 224 0.8× 218 1.1× 171 0.9× 51 3.5k
Dmitrij Frishman Germany 11 2.5k 1.4× 764 1.2× 202 0.7× 155 0.8× 237 1.3× 17 2.9k
Edwin Pozharski United States 29 2.2k 1.3× 597 0.9× 176 0.6× 140 0.7× 164 0.9× 71 2.9k
James O. Wrabl United States 18 1.9k 1.1× 600 0.9× 235 0.8× 205 1.0× 256 1.4× 41 2.2k
Nathalie Reuter Norway 34 2.1k 1.2× 558 0.8× 197 0.7× 239 1.2× 241 1.3× 94 3.3k
Leo S. D. Caves United Kingdom 17 2.1k 1.2× 476 0.7× 338 1.1× 208 1.0× 198 1.1× 45 2.9k
Tongye Shen United States 27 1.4k 0.8× 344 0.5× 271 0.9× 111 0.6× 175 0.9× 68 2.0k
Jason R. Schnell United Kingdom 22 2.4k 1.4× 471 0.7× 187 0.6× 348 1.7× 312 1.7× 36 3.3k

Countries citing papers authored by Lee‐Wei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lee‐Wei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee‐Wei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Lee‐Wei Yang. A scholar is included among the top collaborators of Lee‐Wei 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 Lee‐Wei Yang. Lee‐Wei 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.
Zhang, Chenguang, Stephen Hsu, Manish Prakash, et al.. (2025). Dendritic cell-targeted liposomes for cancer immunotherapy via inhibition of aryl hydrocarbon receptor. Journal of Nanobiotechnology. 23(1). 683–683.
2.
Cheng, Yuying, Anindita Ganguly, Yiyun Cheng, et al.. (2024). Development of label-free triboelectric nanosensors as screening platforms for anti-tumor drugs. Nano Energy. 125. 109519–109519. 9 indexed citations
3.
Tsai, Cheng‐Yu, Yingchang Lu, Shu‐Wha Lin, et al.. (2023). Simulation-predicted and -explained inheritance model of pathogenicity confirmed by transgenic mice models. Computational and Structural Biotechnology Journal. 21. 5698–5711. 2 indexed citations
4.
Kao, Yu‐Lin, Shih‐Han Huang, Lee‐Wei Yang, et al.. (2022). Actin filaments form a size‐dependent diffusion barrier around centrosomes. EMBO Reports. 24(1). e54935–e54935. 5 indexed citations
5.
Banerjee, Anupam, et al.. (2022). Mutually beneficial confluence of structure-based modeling of protein dynamics and machine learning methods. Current Opinion in Structural Biology. 78. 102517–102517. 15 indexed citations
6.
Böttger, Roland, Elham Rouhollahi, Alexander D. Smith, et al.. (2021). An Effective and Safe Enkephalin Analog for Antinociception. Pharmaceutics. 13(7). 927–927. 5 indexed citations
7.
Pan, Rong‐Long, et al.. (2019). DR-SIP: protocols for higher order structure modeling with distance restraints- and cyclic symmetry-imposed packing. Bioinformatics. 36(2). 449–461. 1 indexed citations
8.
Takemura, Kazuhiro, et al.. (2019). An Efficient Timer and Sizer of Biomacromolecular Motions. Structure. 28(2). 259–269.e8. 3 indexed citations
9.
Su, Yu-Kai, et al.. (2018). S100B as an antagonist to block the interaction between S100A1 and the RAGE V domain. PLoS ONE. 13(2). e0190545–e0190545. 15 indexed citations
10.
Hsiao, Y.-Y., et al.. (2016). Structural Insights into Substrate Recognition by Clostridium difficile Sortase. Frontiers in Cellular and Infection Microbiology. 6. 160–160. 4 indexed citations
11.
Chen, Wenting, Ting Chen, Dongli Wang, et al.. (2016). Structure and function of chicken interleukin-1 beta mutants: uncoupling of receptor binding and in vivo biological activity. Scientific Reports. 6(1). 27729–27729. 14 indexed citations
12.
Li, Hongchun, et al.. (2015). iGNM 2.0: the Gaussian network model database for biomolecular structural dynamics. Nucleic Acids Research. 44(D1). D415–D422. 64 indexed citations
13.
Yang, Lee‐Wei, et al.. (2014). Ligand-Induced Protein Responses and Mechanical Signal Propagation Described by Linear Response Theories. Biophysical Journal. 107(6). 1415–1425. 18 indexed citations
14.
Liao, Jiahn‐Haur, et al.. (2013). The N-terminal substrate-recognition domain of a LonC protease exhibits structural and functional similarity to cytosolic chaperones. Acta Crystallographica Section D Biological Crystallography. 69(9). 1789–1797. 7 indexed citations
15.
Yang, Lee‐Wei, Eran Eyal, Chakra Chennubhotla, et al.. (2007). Insights into Equilibrium Dynamics of Proteins from Comparison of NMR and X-Ray Data with Computational Predictions. Structure. 15(6). 741–749. 112 indexed citations
16.
Yang, Lee‐Wei, et al.. (2006). o GNM: online computation of structural dynamics using the Gaussian Network Model. Nucleic Acids Research. 34(suppl_2). W24–W31. 130 indexed citations
17.
Yang, Lee‐Wei & İvet Bahar. (2005). Coupling between Catalytic Site and Collective Dynamics: A Requirement for Mechanochemical Activity of Enzymes. Structure. 13(6). 893–904. 219 indexed citations
18.
Chennubhotla, Chakra, A.J. Rader, Lee‐Wei Yang, & İvet Bahar. (2005). Elastic network models for understanding biomolecular machinery: from enzymes to supramolecular assemblies. Physical Biology. 2(4). S173–S180. 144 indexed citations
19.
Pan, Jian‐Jung, et al.. (2002). Insight into the activation mechanism of Escherichia coli octaprenyl pyrophosphate synthase derived from pre-steady-state kinetic analysis. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1594(1). 64–73. 24 indexed citations
20.
Yang, Lee‐Wei, Binliang Lin, Seyed Mahmood Kashefipour, & Roger A. Falconer. (2002). Integration of a 1-D river model with object-oriented methodology. Environmental Modelling & Software. 17(8). 693–701. 13 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Carlos X. Hernández Breakdown of academic impact, for papers by Christoph Klein Breakdown of academic impact, for papers by Eran Eyal Breakdown of academic impact, for papers by Dmitrij Frishman Breakdown of academic impact, for papers by Edwin Pozharski Breakdown of academic impact, for papers by James O. Wrabl Breakdown of academic impact, for papers by Nathalie Reuter Breakdown of academic impact, for papers by Leo S. D. Caves Breakdown of academic impact, for papers by Tongye Shen Breakdown of academic impact, for papers by Jason R. Schnell
Rankless by CCL
2026