Guoqian Hao

561 total citations
25 papers, 347 citations indexed

About

Guoqian Hao is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Guoqian Hao has authored 25 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Genetics. Recurrent topics in Guoqian Hao's work include Genomics and Phylogenetic Studies (19 papers), Plant Ecology and Taxonomy Studies (12 papers) and Genetic diversity and population structure (11 papers). Guoqian Hao is often cited by papers focused on Genomics and Phylogenetic Studies (19 papers), Plant Ecology and Taxonomy Studies (12 papers) and Genetic diversity and population structure (11 papers). Guoqian Hao collaborates with scholars based in China, United States and United Kingdom. Guoqian Hao's co-authors include Jianquan Liu, Xinyi Guo, Quanjun Hu, Ihsan A. Al‐Shehbaz, Tao Ma, Xiaojuan Wang, Dan Zhang, Lei Zhang, Kangshan Mao and Мarcus A. Koch and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Guoqian Hao

24 papers receiving 347 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Guoqian Hao China	8	248	186	126	125	18	25	347
Tom Carruthers United Kingdom	10	144 0.6×	152 0.8×	108 0.9×	77 0.6×	21 1.2×	19	310
Barbara Turner Austria	9	170 0.7×	207 1.1×	131 1.0×	87 0.7×	37 2.1×	16	317
Ivan A. Schanzer Russia	10	130 0.5×	194 1.0×	164 1.3×	125 1.0×	33 1.8×	35	344
Yuki Mitsui Japan	12	216 0.9×	131 0.7×	225 1.8×	140 1.1×	35 1.9×	25	420
Nora Hohmann Germany	10	370 1.5×	198 1.1×	417 3.3×	140 1.1×	22 1.2×	13	621
Jie Cai China	10	254 1.0×	214 1.2×	131 1.0×	60 0.5×	25 1.4×	36	371
Zeng Li-ping China	2	370 1.5×	299 1.6×	262 2.1×	121 1.0×	10 0.6×	2	540
Kate Ridout United Kingdom	7	218 0.9×	92 0.5×	239 1.9×	254 2.0×	21 1.2×	8	454
Verônica A. Thode Brazil	9	160 0.6×	173 0.9×	85 0.7×	52 0.4×	22 1.2×	21	270
Michael Gruenstaeudl Germany	12	174 0.7×	188 1.0×	116 0.9×	92 0.7×	23 1.3×	28	330

Countries citing papers authored by Guoqian Hao

Since Specialization

Citations

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

Fields of papers citing papers by Guoqian Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoqian Hao

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

All Works

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20 of 20 papers shown

Hao, Guoqian, Fan Yi, Haoran Zhu, et al.. (2025). Topological identification and interpretation for single-cell epigenetic regulation elucidation in multi-tasks using scAGDE. Nature Communications. 16(1). 1691–1691. 2 indexed citations

Ma, Wenjing, Fuzhou Wang, Yi Fan, et al.. (2025). DeepNanoHi-C: deep learning enables accurate single-cell nanopore long-read data analysis and 3D genome interpretation. Nucleic Acids Research. 53(13).

Xiao, Meng, Guoqian Hao, Xinyi Guo, et al.. (2023). A high-quality chromosome-level Eutrema salsugineum genome, an extremophile plant model. BMC Genomics. 24(1). 174–174. 4 indexed citations

Wang, Yi, Guoqian Hao, Xinyi Guo, et al.. (2022). Phylogenomics and rapid diversification of the genus Eutrema on the Qinghai–Tibet Plateau and adjacent regions. Journal of Systematics and Evolution. 61(1). 11–21. 3 indexed citations

Wang, Zefu, Yuanzhong Jiang, Xiaoyue Yang, et al.. (2022). Molecular signatures of parallel adaptive divergence causing reproductive isolation and speciation across two genera. The Innovation. 3(3). 100247–100247. 6 indexed citations

Li, Minjie, Yongzhi Yang, Ying Li, et al.. (2021). A chromosome‐level genome assembly for the tertiary relict plant Tetracentron sinense oliv. (trochodendraceae). Molecular Ecology Resources. 21(4). 1186–1199. 15 indexed citations

Yang, Xiaoyue, Zefu Wang, Lei Zhang, et al.. (2020). A chromosome-level reference genome of the hornbeam, Carpinus fangiana. Scientific Data. 7(1). 24–24. 18 indexed citations

Hao, Guoqian, et al.. (2019). Characterization of the complete chloroplast genome of Sinosenecio oldhamianus (Compositae). SHILAP Revista de lepidopterología. 4(2). 3496–3497. 2 indexed citations

Hao, Guoqian, et al.. (2019). Characterization of the complete chloroplast genome of Saussurea integrifolia (Compositae). SHILAP Revista de lepidopterología. 4(2). 3502–3503. 2 indexed citations

10.

Zhang, Dan, et al.. (2019). Genomic insight into “sky island” species diversification in a mountainous biodiversity hotspot. Journal of Systematics and Evolution. 57(6). 633–645. 33 indexed citations

11.

Guo, Xinyi, Quanjun Hu, Guoqian Hao, et al.. (2018). The genomes of two Eutrema species provide insight into plant adaptation to high altitudes. DNA Research. 25(3). 307–315. 38 indexed citations

12.

Wang, Yaling, et al.. (2018). Population genetic analyses of the endangered alpine Sinadoxa corydalifolia (Adoxaceae) provide insights into future conservation. Biodiversity and Conservation. 27(9). 2275–2291. 9 indexed citations

13.

Hao, Guoqian, Changbing Zhang, Ihsan A. Al‐Shehbaz, et al.. (2017). Eutrema giganteum (Brassicaceae), a new species from Sichuan, southwest China. PhytoKeys. 82(82). 15–26. 2 indexed citations

14.

Guo, Xinyi, Jianquan Liu, Guoqian Hao, et al.. (2017). Plastome phylogeny and early diversification of Brassicaceae. BMC Genomics. 18(1). 176–176. 128 indexed citations

15.

Hao, Guoqian, Ihsan A. Al‐Shehbaz, Qianlong Liang, Qian Wang, & Jianquan Liu. (2016). Eutrema tianshanense (Brassicaceae), a new species from Tian Shan Mountains of central Asia. Phytotaxa. 286(1). 2 indexed citations

16.

Hao, Guoqian, Qian Wang, Bingbing Liu, & Jianquan Liu. (2016). Phytochemical profiling of five medicinally active constituents across 14 Eutrema species. Fitoterapia. 110. 83–88. 4 indexed citations

17.

Bi, Hao, et al.. (2015). The complete chloroplast genome of Ostrya rehderiana. Mitochondrial DNA Part A. 27(6). 4536–4537. 4 indexed citations

18.

Hu, Huan, Ihsan A. Al‐Shehbaz, Yongshuai Sun, et al.. (2015). Species delimitation in Orychophragmus (Brassicaceae) based on chloroplast and nuclear DNA barcodes. Taxon. 64(4). 714–726. 35 indexed citations

19.

Hao, Guoqian, Ihsan A. Al‐Shehbaz, Qian Wang, Qianlong Liang, & Jianquan Liu. (2015). Eutrema racemosum (Eutremeae, Brassicaceae), a new tetraploid species from southwest China. Phytotaxa. 224(2). 5 indexed citations

20.

Guo, Xinyi, Guoqian Hao, & Tao Ma. (2015). The complete chloroplast genome of salt cress ( Eutrema salsugineum ). Mitochondrial DNA Part A. 27(4). 2862–2863. 7 indexed citations

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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