Minghu Song

12 papers and 383 indexed citations i.

About

Minghu Song is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Minghu Song has authored 12 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Minghu Song’s work include Computational Drug Discovery Methods (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and Analytical Chemistry and Chromatography (2 papers). Minghu Song is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and Analytical Chemistry and Chromatography (2 papers). Minghu Song collaborates with scholars based in United States and China. Minghu Song's co-authors include Matthew Clark, Curt M. Breneman, N. Sukumar, Kristin P. Bennett, Nihal Tugçu, Jinbo Bi, Steven M. Cramer, Pei Yang, Zhan Chen and Xiaofeng Han and has published in prestigious journals such as Analytical Chemistry, Langmuir and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Minghu Song i

Fields of papers citing papers by Minghu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Minghu Song

Since Specialization
Citations

This map shows the geographic impact of Minghu Song'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 Minghu Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghu Song 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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2025