Guang Han

59 papers and 1.5k indexed citations i.

About

Guang Han is a scholar working on Physiology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Guang Han has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Physiology, 26 papers in Pediatrics, Perinatology and Child Health and 10 papers in Molecular Biology. Recurrent topics in Guang Han’s work include Birth, Development, and Health (23 papers), Pain Mechanisms and Treatments (11 papers) and Adipose Tissue and Metabolism (9 papers). Guang Han is often cited by papers focused on Birth, Development, and Health (23 papers), Pain Mechanisms and Treatments (11 papers) and Adipose Tissue and Metabolism (9 papers). Guang Han collaborates with scholars based in United States, China and Morocco. Guang Han's co-authors include Mina Desai, Michael G. Ross, Juanita K. Jellyman, Omid Khorram, Robert H. Lane, Marie H. Beall, Thomas R. Magee, Tamiko Konishi, Dave Gayle and Mónica G. Ferrini and has published in prestigious journals such as Journal of Neuroscience, Brain Research and Endocrinology.

In The Last Decade

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

Fields of papers citing papers by Guang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guang Han

Since Specialization
Citations

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