Han Ma

13 papers and 2.6k indexed citations i.

About

Han Ma is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Han Ma has authored 13 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Oncology. Recurrent topics in Han Ma’s work include Cancer-related gene regulation (7 papers), Epigenetics and DNA Methylation (5 papers) and Estrogen and related hormone effects (4 papers). Han Ma is often cited by papers focused on Cancer-related gene regulation (7 papers), Epigenetics and DNA Methylation (5 papers) and Estrogen and related hormone effects (4 papers). Han Ma collaborates with scholars based in United States and China. Han Ma's co-authors include Michael R. Stallcup, Heng Hong, Stephen S. Koh, Dana W. Aswad, Dagang Chen, Shih‐Ming Huang, Brandon T. Schurter, Peter J. Kushner, Catherine Teyssier and Brian D. Strahl and has published in prestigious journals such as Science, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

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

Fields of papers citing papers by Han Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Han Ma

Since Specialization
Citations

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