Long Huang

39 papers and 284 indexed citations i.

About

Long Huang is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Long Huang has authored 39 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 16 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Long Huang’s work include Reconstructive Surgery and Microvascular Techniques (8 papers), Head and Neck Cancer Studies (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). Long Huang is often cited by papers focused on Reconstructive Surgery and Microvascular Techniques (8 papers), Head and Neck Cancer Studies (6 papers) and Neuroendocrine Tumor Research Advances (5 papers). Long Huang collaborates with scholars based in China and United States. Long Huang's co-authors include Canhua Jiang, Xinchun Jian, Feng Guo, Anjie Min, Ning Li, Shi Chen, Zheng Lian, Yifeng Tian, Ping Yin and Cheng‐Yu Liao and has published in prestigious journals such as Nature Communications, PLoS ONE and Annals of Oncology.

In The Last Decade

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

Fields of papers citing papers by Long Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Long Huang

Since Specialization
Citations

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