Gang Ma

72 papers and 683 indexed citations i.

About

Gang Ma is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Gang Ma has authored 72 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 15 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Gang Ma’s work include Hepatitis C virus research (8 papers), HIV/AIDS drug development and treatment (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Gang Ma is often cited by papers focused on Hepatitis C virus research (8 papers), HIV/AIDS drug development and treatment (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Gang Ma collaborates with scholars based in China, United States and Japan. Gang Ma's co-authors include Charles Lin, Marc Wathelet, Melissa N. Orr, Jason T. Blackard, Kenneth E. Sherman, Xi Chen, Wei Zhang, Jiyu Li, Hongmei Yang and Mohamed Tarek M. Shata and has published in prestigious journals such as Journal of Biological Chemistry, Applied Physics Letters and PLoS ONE.

In The Last Decade

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

Fields of papers citing papers by Gang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gang Ma

Since Specialization
Citations

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