Hua Peng

About

Hua Peng is a scholar working on Plant Science, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Hua Peng has authored 29 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 9 papers in Genetics and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Hua Peng’s work include Tea Polyphenols and Effects (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetic diversity and population structure (4 papers). Hua Peng is often cited by papers focused on Tea Polyphenols and Effects (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetic diversity and population structure (4 papers). Hua Peng collaborates with scholars based in China, United States and Russia. Hua Peng's co-authors include Zhiyong Zhang, Qingjun Yuan, Song Ge, Yonghua Zhang, Ian Wang, Yingxiong Qiu, Hans Peter Comes, Li D, Guangtang Pan and Zhengyi Wu and has published in prestigious journals such as Oncogene, Scientific Reports and Molecular Ecology.

In The Last Decade

Co-authorship network of co-authors of Hua Peng i

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Fields of papers citing papers by Hua Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hua Peng

Since Specialization

Citations

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