Mingjun Yang

1.4k total citations
41 papers, 1.0k citations indexed

About

Mingjun Yang is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Mingjun Yang has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Materials Chemistry and 8 papers in Computational Theory and Mathematics. Recurrent topics in Mingjun Yang's work include Protein Structure and Dynamics (18 papers), Computational Drug Discovery Methods (8 papers) and Enzyme Structure and Function (6 papers). Mingjun Yang is often cited by papers focused on Protein Structure and Dynamics (18 papers), Computational Drug Discovery Methods (8 papers) and Enzyme Structure and Function (6 papers). Mingjun Yang collaborates with scholars based in United States, China and Denmark. Mingjun Yang's co-authors include Alexander D. MacKerell, S. L. S. Stipp, John H. Harding, Keli Han, Kenno Vanommeslaeghe, Jing Huang, Asaminew H. Aytenfisu, Xin Zhang, David J. Cooke and Tue Hassenkam and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.

In The Last Decade

Mingjun Yang

39 papers receiving 995 citations

Peers

Mingjun Yang

BIOMA

CTM

AMPO

María Grazia Ortore Italy

Nathan R. Kern United States

Mary T. McBride United States

Michael S. Pacella United States

Roland G. Huber Singapore

Noriyuki Igarashi Japan

Nicholas C. Fitzkee United States

Xianwei Wang China

Tomas Hansson Sweden

Hannes Fischer Brazil

María Grazia Ortore Italy

Mingjun Yang

811 ×1.8

380 ×1.5

164 ×0.9

BIOMA

88 ×0.6

CTM

109 ×1.0

AMPO

Citations per year, relative to Mingjun Yang Mingjun Yang (= 1×) peers María Grazia Ortore

Countries citing papers authored by Mingjun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Mingjun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingjun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjun Yang. A scholar is included among the top collaborators of Mingjun 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 Mingjun Yang. Mingjun Yang 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

Yu, Yue, Jun Yang, Mingjun Yang, et al.. (2023). Improving the activity and thermostability of PETase from Ideonella sakaiensis through modulating its post-translational glycan modification. Communications Biology. 6(1). 39–39. 46 indexed citations

Wei, Lin, Xiaohua Lin, Yaogang Hu, et al.. (2023). Hit Identification Driven by Combining Artificial Intelligence and Computational Chemistry Methods: A PI5P4K-β Case Study. Journal of Chemical Information and Modeling. 63(16). 5341–5355. 10 indexed citations

Meng, Jintao, Peng Chen, Mohamed Wahib, et al.. (2022). Boosting the predictive performance with aqueous solubility dataset curation. Scientific Data. 9(1). 17 indexed citations

Lin, Zhixiong, Junjie Zou, Shuai Liu, et al.. (2021). A Cloud Computing Platform for Scalable Relative and Absolute Binding Free Energy Predictions: New Opportunities and Challenges for Drug Discovery. Journal of Chemical Information and Modeling. 61(6). 2720–2732. 27 indexed citations

Zou, Junjie, Zhipeng Li, Chunwang Peng, et al.. (2021). Scaffold Hopping Transformations Using Auxiliary Restraints for Calculating Accurate Relative Binding Free Energies. Journal of Chemical Theory and Computation. 17(6). 3710–3726. 12 indexed citations

Wang, Peng, et al.. (2021). Polymorphism in acetyl-CoA synthase mimic complex [NiN2S2-(W(CO)5)2]. Polyhedron. 209. 115448–115448. 1 indexed citations

Yang, Qingyi, et al.. (2019). Optimal designs for pairwise calculation: An application to free energy perturbation in minimizing prediction variability. Journal of Computational Chemistry. 41(3). 247–257. 22 indexed citations

Abramov, Yuriy A., et al.. (2019). Solid-Form Transition Temperature Prediction from a Virtual Polymorph Screening: A Reality Check. Crystal Growth & Design. 19(12). 7132–7137. 13 indexed citations

Yang, Mingjun, et al.. (2018). Proper balance of solvent-solute and solute-solute interactions in the treatment of the diffusion of glucose using the Drude polarizable force field. Carbohydrate Research. 457. 41–50. 19 indexed citations

10.

Aytenfisu, Asaminew H., Mingjun Yang, & Alexander D. MacKerell. (2018). CHARMM Drude Polarizable Force Field for Glycosidic Linkages Involving Pyranoses and Furanoses. Journal of Chemical Theory and Computation. 14(6). 3132–3143. 29 indexed citations

11.

Zhang, Peiyu, Geoffrey P. F. Wood, Jian Ma, et al.. (2018). Harnessing Cloud Architecture for Crystal Structure Prediction Calculations. Crystal Growth & Design. 18(11). 6891–6900. 49 indexed citations

12.

Yang, Mingjun, et al.. (2017). Conformational Heterogeneity of the HIV Envelope Glycan Shield. Scientific Reports. 7(1). 4435–4435. 33 indexed citations

13.

Yang, Mingjun, Girish Ramachandran, Surekha Shridhar, et al.. (2017). Development of a glycoconjugate vaccine to prevent invasive Salmonella Typhimurium infections in sub-Saharan Africa. PLoS neglected tropical diseases. 11(4). e0005493–e0005493. 40 indexed citations

14.

Xie, Liangxu, Lin Shen, Zhe‐Ning Chen, & Mingjun Yang. (2017). Efficient free energy calculations by combining two complementary tempering sampling methods. The Journal of Chemical Physics. 146(2). 24103–24103. 11 indexed citations

15.

Yang, Mingjun, Jing Huang, & Alexander D. MacKerell. (2015). Enhanced Conformational Sampling of Carbohydrates using Biasing Potential and Solute Tempering Replica Exchange: Application to the N-glycan on the HIV gp120 Envelope Protein. Biophysical Journal. 108(2). 157a–157a. 1 indexed citations

16.

Yang, Mingjun, Xueqin Pang, & Keli Han. (2013). Multi-state Targeting Machinery Govern the Fidelity and Efficiency of Protein Localization. Advances in experimental medicine and biology. 805. 385–409. 3 indexed citations

17.

Yang, Mingjun, Marina R. Kasimova, Martin Malmsten, et al.. (2012). Membrane adsorption and binding, cellular uptake and cytotoxicity of cell-penetrating peptidomimetics with α-peptide/β-peptoid backbone: Effects of hydrogen bonding and α-chirality in the β-peptoid residues. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1818(11). 2660–2668. 18 indexed citations

18.

Sand, Karina K., Mingjun Yang, Emil Makovicky, et al.. (2010). Binding of Ethanol on Calcite: The Role of the OH Bond and Its Relevance to Biomineralization. Langmuir. 26(19). 15239–15247. 96 indexed citations

19.

Yang, Mingjun, Xin Zhang, & Keli Han. (2010). Molecular dynamics simulation of SRP GTPases: Towards an understanding of the complex formation from equilibrium fluctuations. Proteins Structure Function and Bioinformatics. 78(10). 2222–2237. 46 indexed citations

20.

Zhang, Zhuqing, Xiaozhen Yang, Mingjun Yang, Ting Li, & Bin Kong. (2004). Different diffusion behavior of cyclic chains under confinement. Polymer. 45(9). 3021–3026. 5 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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