Gia-Ming Hong

About

Gia-Ming Hong is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Physiology. According to data from OpenAlex, Gia-Ming Hong has authored 3 papers receiving a total of 93 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Health, Toxicology and Mutagenesis and 1 paper in Physiology. Recurrent topics in Gia-Ming Hong’s work include Heavy Metal Exposure and Toxicity (2 papers), Telomeres, Telomerase, and Senescence (1 paper) and Pluripotent Stem Cells Research (1 paper). Gia-Ming Hong is often cited by papers focused on Heavy Metal Exposure and Toxicity (2 papers), Telomeres, Telomerase, and Senescence (1 paper) and Pluripotent Stem Cells Research (1 paper). Gia-Ming Hong collaborates with scholars based in United States. Gia-Ming Hong's co-authors include Lisa J. Bain and has published in prestigious journals such as Toxicology and Applied Pharmacology and Toxicological Sciences.

In The Last Decade

Co-authorship network of co-authors of Gia-Ming Hong i

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Fields of papers citing papers by Gia-Ming Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gia-Ming Hong. 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 Gia-Ming Hong. The network helps show where Gia-Ming Hong may publish in the future.

Countries citing papers authored by Gia-Ming Hong

Since Specialization

Citations

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