Yu‐Shan Lin

4.6k total citations · 1 hit paper
81 papers, 3.7k citations indexed

About

Yu‐Shan Lin is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Organic Chemistry. According to data from OpenAlex, Yu‐Shan Lin has authored 81 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 14 papers in Atomic and Molecular Physics, and Optics and 13 papers in Organic Chemistry. Recurrent topics in Yu‐Shan Lin's work include Chemical Synthesis and Analysis (23 papers), Protein Structure and Dynamics (15 papers) and Spectroscopy and Quantum Chemical Studies (11 papers). Yu‐Shan Lin is often cited by papers focused on Chemical Synthesis and Analysis (23 papers), Protein Structure and Dynamics (15 papers) and Spectroscopy and Quantum Chemical Studies (11 papers). Yu‐Shan Lin collaborates with scholars based in United States, Taiwan and Japan. Yu‐Shan Lin's co-authors include J. L. Skinner, Hongtao Yu, Vijay S. Pande, Kyle A. Beauchamp, Bradley L. Pentelute, Rhiju Das, Barbara Brodsky, Bo An, Alexander M. Spokoyny and Yekui Zou and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Yu‐Shan Lin

80 papers receiving 3.7k 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.

A Perfluoroaryl-Cysteine S _N Ar Chemistry Approach to Unprotected Peptide Stapling

2013 410 citations Hongtao Yu, Yu‐Shan Lin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu‐Shan Lin United States	28	2.1k	963	596	582	581	81	3.7k
Lars V. Schäfer Germany	37	3.8k 1.8×	1.1k 1.2×	478 0.8×	367 0.6×	658 1.1×	106	5.8k
Mu‐Ping Nieh United States	37	3.0k 1.4×	780 0.8×	448 0.8×	971 1.7×	1.0k 1.8×	145	5.0k
Giuliano Siligardi United Kingdom	38	2.8k 1.4×	294 0.3×	568 1.0×	336 0.6×	689 1.2×	165	5.3k
Rainer A. Böckmann Germany	34	4.1k 2.0×	1.1k 1.2×	253 0.4×	256 0.4×	452 0.8×	80	5.7k
Zhifeng Shao United States	34	1.8k 0.9×	1.1k 1.1×	223 0.4×	250 0.4×	380 0.7×	91	4.0k
Jeffery G. Saven United States	41	3.4k 1.6×	533 0.6×	465 0.8×	1.2k 2.1×	1.2k 2.1×	120	5.7k
Gert Rapp Germany	32	2.6k 1.3×	591 0.6×	280 0.5×	458 0.8×	753 1.3×	94	4.0k
Bruce Cornell Australia	33	3.1k 1.5×	788 0.8×	607 1.0×	259 0.4×	320 0.6×	134	4.2k
Paula J. Booth United Kingdom	45	5.0k 2.4×	609 0.6×	800 1.3×	654 1.1×	386 0.7×	118	6.2k
Michéle Auger Canada	36	2.9k 1.4×	460 0.5×	2.2k 3.7×	942 1.6×	570 1.0×	126	5.8k

Countries citing papers authored by Yu‐Shan Lin

Since Specialization

Citations

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

Fields of papers citing papers by Yu‐Shan Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Shan Lin. 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 Yu‐Shan Lin. The network helps show where Yu‐Shan Lin may publish in the future.

Co-authorship network of co-authors of Yu‐Shan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Shan Lin. A scholar is included among the top collaborators of Yu‐Shan Lin 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 Yu‐Shan Lin. Yu‐Shan Lin 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

Tai, Yian, et al.. (2025). Bacterial cellulose and keratin reinforced PAM hydrogels for advanced dye removal: Insights from batch and QCM analyses. International Journal of Biological Macromolecules. 308(Pt 4). 142458–142458. 2 indexed citations

Lin, Yu‐Shan, et al.. (2025). Frameworks Construction with Rhodium‐Organic Cuboctahedra via Rigid Linker Incorporation. Chemistry - An Asian Journal. 20(6). e202401456–e202401456.

Lin, Yu‐Shan. (2024). Structure prediction of cyclic peptides via molecular dynamics and machine learning. Biophysical Journal. 123(3). 296a–296a. 1 indexed citations

Miao, J., et al.. (2024). Assessing the Performance of Peptide Force Fields for Modeling the Solution Structural Ensembles of Cyclic Peptides. The Journal of Physical Chemistry B. 128(22). 5281–5292. 14 indexed citations

Grant, Robert A., et al.. (2024). The immune-evasive proline-283 substitution in influenza nucleoprotein increases aggregation propensity without altering the native structure. Science Advances. 10(16). eadl6144–eadl6144. 1 indexed citations

Chen, Yi‐Ju, et al.. (2023). A Boron‐Dependent Antibiotic Derived from a Calcium‐Dependent Antibiotic. Angewandte Chemie International Edition. 63(5). e202317522–e202317522. 1 indexed citations

Miao, J., et al.. (2023). Training Neural Network Models Using Molecular Dynamics Simulation Results to Efficiently Predict Cyclic Hexapeptide Structural Ensembles. Journal of Chemical Theory and Computation. 19(14). 4757–4769. 11 indexed citations

Chen, Yi‐Ju, et al.. (2023). A Boron‐Dependent Antibiotic Derived from a Calcium‐Dependent Antibiotic. Angewandte Chemie. 136(5). 1 indexed citations

Phillips, Angela M., Samuel J. Hendel, Vincent L. Butty, et al.. (2022). The endoplasmic reticulum proteostasis network profoundly shapes the protein sequence space accessible to HIV envelope. PLoS Biology. 20(2). e3001569–e3001569. 7 indexed citations

10.

Miao, J., et al.. (2022). A backbone‐dependent rotamer library with high (ϕ, ψ) coverage using metadynamics simulations. Protein Science. 31(12). e4491–e4491. 2 indexed citations

11.

Gates, Zachary P., et al.. (2022). Binary combinatorial scanning reveals potent poly-alanine-substituted inhibitors of protein-protein interactions. Communications Chemistry. 5(1). 128–128. 10 indexed citations

12.

Mukherjee, Raja, J. Miao, Mark Miskolzie, et al.. (2021). Genetically-encoded discovery of proteolytically stable bicyclic inhibitors for morphogen NODAL. Chemical Science. 12(28). 9694–9703. 35 indexed citations

13.

Dai, Peng, et al.. (2018). Designing Well-Structured Cyclic Pentapeptides Based on Sequence–Structure Relationships. The Journal of Physical Chemistry B. 122(14). 3908–3919. 23 indexed citations

14.

Mong, Surin K., Frank V. Cochran, Hongtao Yu, et al.. (2017). Heterochiral Knottin Protein: Folding and Solution Structure. Biochemistry. 56(43). 5720–5725. 10 indexed citations

15.

Baiz, Carlos R., Yu‐Shan Lin, Chunte Sam Peng, et al.. (2014). A Molecular Interpretation of 2D IR Protein Folding Experiments with Markov State Models. Biophysical Journal. 106(6). 1359–1370. 48 indexed citations

16.

Beauchamp, Kyle A., Yu‐Shan Lin, Rhiju Das, & Vijay S. Pande. (2012). Are Protein Force Fields Getting Better? A Systematic Benchmark on 524 Diverse NMR Measurements. Journal of Chemical Theory and Computation. 8(4). 1409–1414. 308 indexed citations

17.

Chang, Kai‐Chih, Nien‐Tsung Lin, Anren Hu, et al.. (2011). Genomic analysis of bacteriophage ϕAB1, a ϕKMV-like virus infecting multidrug-resistant Acinetobacter baumannii. Genomics. 97(4). 249–255. 27 indexed citations

18.

Mukherjee, Prabuddha, Yu‐Shan Lin, Hadas Leonov, et al.. (2009). Gating Mechanism of the Influenza A M2 Channel Revealed by 1D and 2D IR Spectroscopies. Structure. 17(2). 247–254. 98 indexed citations

19.

Moilanen, David E., Emily E. Fenn, Yu‐Shan Lin, et al.. (2008). Water inertial reorientation: Hydrogen bond strength and the angular potential. Proceedings of the National Academy of Sciences. 105(14). 5295–5300. 172 indexed citations

20.

Lin, Yu‐Shan, et al.. (2002). Strain Improvement to Enhance the Production of Recombinant Penicillin Acylase in High‐Cell‐Density Escherichia coli Cultures. Biotechnology Progress. 18(6). 1458–1461. 8 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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