Mingjun Yang

37 papers and 933 indexed citations i.

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 37 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 13 papers in Materials Chemistry and 7 papers in Computational Theory and Mathematics. Recurrent topics in Mingjun Yang’s work include Protein Structure and Dynamics (17 papers), Computational Drug Discovery Methods (7 papers) and Machine Learning in Materials Science (5 papers). Mingjun Yang is often cited by papers focused on Protein Structure and Dynamics (17 papers), Computational Drug Discovery Methods (7 papers) and Machine Learning in Materials Science (5 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, David J. Cooke, Emil Makovicky and K. Bechgaard and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Langmuir.

In The Last Decade

Co-authorship network of co-authors of Mingjun Yang i

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.

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).

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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