J. Miao

12.7k total citations
24 papers, 350 citations indexed

About

J. Miao is a scholar working on Molecular Biology, Organic Chemistry and Infectious Diseases. According to data from OpenAlex, J. Miao has authored 24 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Organic Chemistry and 3 papers in Infectious Diseases. Recurrent topics in J. Miao's work include Chemical Synthesis and Analysis (9 papers), Protein Structure and Dynamics (5 papers) and Microbial Natural Products and Biosynthesis (3 papers). J. Miao is often cited by papers focused on Chemical Synthesis and Analysis (9 papers), Protein Structure and Dynamics (5 papers) and Microbial Natural Products and Biosynthesis (3 papers). J. Miao collaborates with scholars based in United States, China and Taiwan. J. Miao's co-authors include Yu‐Shan Lin, He Huang, Philip L. Taylor, Darrell H. Reneker, Mesfin Tsige, George G. Chase, Christian Kisielowski, Joshua A. Kritzer, Dmitriy M. Volochnyuk and Ratmir Derda and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

J. Miao

21 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Miao United States	12	224	70	44	43	37	24	350
Somesh Mohapatra United States	10	165 0.7×	97 1.4×	43 1.0×	13 0.3×	32 0.9×	17	390
Aliaksei V. Pukin Netherlands	12	280 1.3×	134 1.9×	104 2.4×	60 1.4×	49 1.3×	20	446
Bernadett Bacsa Austria	12	355 1.6×	176 2.5×	38 0.9×	49 1.1×	50 1.4×	23	525
Adrian S. Muresan Netherlands	7	276 1.2×	67 1.0×	39 0.9×	19 0.4×	26 0.7×	9	403
Paolo Conflitti Italy	10	239 1.1×	21 0.3×	34 0.8×	30 0.7×	41 1.1×	17	344
Paul Smith United Kingdom	11	199 0.9×	41 0.6×	60 1.4×	7 0.2×	30 0.8×	18	374
Xingqing Xiao United States	14	265 1.2×	101 1.4×	53 1.2×	42 1.0×	80 2.2×	41	530
Andrei Neamțu Romania	11	117 0.5×	56 0.8×	64 1.5×	31 0.7×	53 1.4×	40	291
Julie M. Lebert Canada	7	222 1.0×	29 0.4×	203 4.6×	37 0.9×	13 0.4×	7	424
Cameron M. Chow United States	8	629 2.8×	27 0.4×	102 2.3×	65 1.5×	36 1.0×	9	759

Countries citing papers authored by J. Miao

Since Specialization

Citations

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

Fields of papers citing papers by J. Miao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Miao

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

All Works

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20 of 20 papers shown

Miao, J., et al.. (2025). Effects of chili meal supplementation on productive performance, intestinal health, and liver lipid metabolism of laying hens fed low-protein diets. Poultry Science. 104(5). 105001–105001.

Yan, Cheng, Jianzhong Shi, Pengfei Cui, et al.. (2025). Characterization of emerging H3N3 avian influenza viruses in poultry in China. Emerging Microbes & Infections. 14(1). 2509748–2509748. 1 indexed citations

Cui, Kaiyu, John H. Zhang, Wei He, et al.. (2025). Effects of 8-Week High-Intensity Interval Training Intervention Regulating the SIRT1/PGC1α Pathway on Hippocampal Neuron Injury and Cognitive Impairment in Obese Rats. Current Developments in Nutrition. 9(10). 107548–107548.

Zhao, Yiyong, J. Miao, Guofu Zhang, et al.. (2025). Thiourea Dioxide-Mediated N−O Bond Cleavage in Hydroxamic Acids for the Selective Synthesis of Primary Amides. Synlett. 36(18). 3048–3052.

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

Liu, Jamie, et al.. (2024). Potent and Protease Resistant Azapeptide Agonists of the GLP‐1 and GIP Receptors. Angewandte Chemie International Edition. 63(49). e202410237–e202410237. 3 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

10.

Miao, J., et al.. (2023). Computational Prediction of Cyclic Peptide Structural Ensembles and Application to the Design of Keap1 Binders. Journal of Chemical Information and Modeling. 63(21). 6925–6937. 12 indexed citations

11.

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

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.

Miao, J., et al.. (2021). Elucidating Solution Structures of Cyclic Peptides Using Molecular Dynamics Simulations. Chemical Reviews. 121(4). 2292–2324. 71 indexed citations

14.

Miao, J., et al.. (2021). Structure prediction of cyclic peptides by molecular dynamics + machine learning. Chemical Science. 12(44). 14927–14936. 40 indexed citations

15.

Miao, J., Natalie A. Wasio, Colin J. Murphy, et al.. (2021). Visualizing and Understanding Ordered Surface Phases during the Ullmann Coupling Reaction. The Journal of Physical Chemistry C. 125(14). 7675–7685. 2 indexed citations

16.

Huang, He, et al.. (2020). Cyclic peptides: backbone rigidification and capability of mimicking motifs at protein–protein interfaces. Physical Chemistry Chemical Physics. 23(1). 607–616. 20 indexed citations

17.

Miao, J., et al.. (2019). β-Branched Amino Acids Stabilize Specific Conformations of Cyclic Hexapeptides. Biophysical Journal. 116(3). 433–444. 16 indexed citations

18.

Phillips, Angela M., Orr Ashenberg, J. Miao, et al.. (2018). Destabilized adaptive influenza variants critical for innate immune system escape are potentiated by host chaperones. PLoS Biology. 16(9). e3000008–e3000008. 24 indexed citations

19.

Reneker, Darrell H., et al.. (2016). Polyvinylidene fluoride molecules in nanofibers, imaged at atomic scale by aberration corrected electron microscopy. Bulletin of the American Physical Society. 2016. 1 indexed citations

20.

Kisielowski, Christian, et al.. (2015). Polyvinylidene fluoride molecules in nanofibers, imaged at atomic scale by aberration corrected electron microscopy. Nanoscale. 8(1). 120–128. 43 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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