Hao Qian

53 total papers · 965 total citations
33 papers, 664 citations indexed

About

Hao Qian is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Hao Qian has authored 33 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 9 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Hao Qian's work include Parkinson's Disease Mechanisms and Treatments (6 papers), Neurological disorders and treatments (5 papers) and PARP inhibition in cancer therapy (3 papers). Hao Qian is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (6 papers), Neurological disorders and treatments (5 papers) and PARP inhibition in cancer therapy (3 papers). Hao Qian collaborates with scholars based in China, United States and Saint Kitts and Nevis. Hao Qian's co-authors include Yingxian Sun, Naijin Zhang, Shaojun Wu, Boquan Wu, Pengyu Jia, Yintao Chen, Shilong You, Liu Cao, Ying Zhang and Haoyu Wang and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Cell Death and Differentiation and Frontiers in Immunology.

In The Last Decade

Hao Qian

30 papers receiving 654 citations

Author Peers

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

Author Last Decade Papers Cites
Hao Qian 246 161 149 113 85 33 664
Chao‐Tien Hsu 307 1.2× 142 0.9× 139 0.9× 67 0.6× 46 0.5× 50 763
Yunliang Tang 200 0.8× 113 0.7× 43 0.3× 96 0.8× 67 0.8× 40 641
Cheng-Guang Huang 214 0.9× 166 1.0× 54 0.4× 244 2.2× 79 0.9× 24 786
Guoqiang Cai 262 1.1× 73 0.5× 80 0.5× 110 1.0× 85 1.0× 25 769
Fan Wang 170 0.7× 124 0.8× 101 0.7× 71 0.6× 49 0.6× 45 647
Ke‐Qiong Deng 366 1.5× 138 0.9× 71 0.5× 55 0.5× 248 2.9× 32 775
Ioanna Markaki 172 0.7× 102 0.6× 102 0.7× 144 1.3× 47 0.6× 29 623
Sofia Chiatamone Ranieri 287 1.2× 113 0.7× 65 0.4× 70 0.6× 45 0.5× 28 731
Xinwei He 198 0.8× 89 0.6× 59 0.4× 69 0.6× 60 0.7× 36 571
Wen Wen 235 1.0× 108 0.7× 138 0.9× 22 0.2× 100 1.2× 44 720

Countries citing papers authored by Hao Qian

Since Specialization
Citations

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

Fields of papers citing papers by Hao Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Qian. A scholar is included among the top collaborators of Hao Qian 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 Hao Qian. Hao Qian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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