Da Huang

118 total papers · 6.4k total citations
77 papers, 4.0k citations indexed

About

Da Huang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Da Huang has authored 77 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 29 papers in Pulmonary and Respiratory Medicine and 27 papers in Cancer Research. Recurrent topics in Da Huang's work include Cancer-related molecular mechanisms research (18 papers), Prostate Cancer Treatment and Research (15 papers) and MicroRNA in disease regulation (14 papers). Da Huang is often cited by papers focused on Cancer-related molecular mechanisms research (18 papers), Prostate Cancer Treatment and Research (15 papers) and MicroRNA in disease regulation (14 papers). Da Huang collaborates with scholars based in China, Hong Kong and United States. Da Huang's co-authors include Qin Ning, Di Wu, Xiaoping Luo, Meifang Han, Hongwu Wang, Xiaoping Zhang, Shiji Wu, Haijing Yu, Shusheng Li and Jianxin Song and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Da Huang

68 papers receiving 3.9k citations

Hit Papers

Clinical and immunologica... 2020 2026 2022 2024 2020 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Da Huang 2.6k 1.5k 811 493 469 77 4.0k
Qiurong Ruan 2.6k 1.0× 1.5k 1.0× 569 0.7× 644 1.3× 296 0.6× 44 4.0k
Xiaohu Zheng 2.2k 0.9× 1.3k 0.9× 930 1.1× 734 1.5× 978 2.1× 40 4.1k
He Huang 2.6k 1.0× 1.6k 1.1× 1.2k 1.5× 794 1.6× 328 0.7× 162 6.1k
Di Wu 3.1k 1.2× 1.8k 1.2× 1.3k 1.6× 1.0k 2.1× 664 1.4× 88 5.8k
Keiji Kuba 2.3k 0.9× 846 0.6× 1.2k 1.5× 458 0.9× 485 1.0× 58 5.2k
Luo‐Qi Zhou 3.4k 1.3× 2.0k 1.3× 767 0.9× 741 1.5× 661 1.4× 41 5.3k
Meifang Han 2.9k 1.1× 1.6k 1.1× 688 0.8× 476 1.0× 734 1.6× 58 4.8k
Vincent W. Li 2.5k 1.0× 1.4k 1.0× 700 0.9× 731 1.5× 420 0.9× 26 4.3k
Florian Laenger 2.6k 1.0× 1.5k 1.0× 692 0.9× 876 1.8× 480 1.0× 53 4.9k
William W. Li 2.5k 1.0× 1.5k 1.0× 1.2k 1.5× 838 1.7× 501 1.1× 52 6.5k

Countries citing papers authored by Da Huang

Since Specialization
Citations

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

Fields of papers citing papers by Da Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Da Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Da Huang. A scholar is included among the top collaborators of Da Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Da Huang. Da Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026