Di Huang

113 papers and 5.4k indexed citations i.

About

Di Huang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Di Huang has authored 113 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 44 papers in Oncology and 26 papers in Cancer Research. Recurrent topics in Di Huang’s work include Cancer Immunotherapy and Biomarkers (20 papers), RNA modifications and cancer (13 papers) and Cancer-related molecular mechanisms research (12 papers). Di Huang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (20 papers), RNA modifications and cancer (13 papers) and Cancer-related molecular mechanisms research (12 papers). Di Huang collaborates with scholars based in China, United States and Japan. Di Huang's co-authors include Erwei Song, Shicheng Su, Qiang Liu, Linbin Yang, Yue Xing, Herui Yao, Jianing Chen, Fengxi Su, Fei Chen and Liyan Lao and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Di Huang i

Fields of papers citing papers by Di Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Di Huang

Since Specialization
Citations

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