Sha Ma

71 papers and 1.1k indexed citations i.

About

Sha Ma is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sha Ma has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 11 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Sha Ma’s work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (6 papers). Sha Ma is often cited by papers focused on MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (6 papers) and Circular RNAs in diseases (6 papers). Sha Ma collaborates with scholars based in China, United States and United Kingdom. Sha Ma's co-authors include Jarmo Laine, Toshiyuki Obata, Masayuki Noguchi, Gerald Künstle, Jun Lin, Song Jin, Lingqiang Chen, Jian Mei, Hong Zhang and Qiuju Li and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Cancer.

In The Last Decade

Co-authorship network of co-authors of Sha Ma i

Fields of papers citing papers by Sha Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sha Ma

Since Specialization
Citations

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