Yingxiong Qiu

5.0k total citations · 1 hit paper
101 papers, 3.9k citations indexed

About

Yingxiong Qiu is a scholar working on Molecular Biology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Yingxiong Qiu has authored 101 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 56 papers in Genetics and 48 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Yingxiong Qiu's work include Genetic diversity and population structure (56 papers), Plant and Fungal Species Descriptions (38 papers) and Genomics and Phylogenetic Studies (30 papers). Yingxiong Qiu is often cited by papers focused on Genetic diversity and population structure (56 papers), Plant and Fungal Species Descriptions (38 papers) and Genomics and Phylogenetic Studies (30 papers). Yingxiong Qiu collaborates with scholars based in China, Austria and United States. Yingxiong Qiu's co-authors include Hans Peter Comes, Chengxin Fu, Pan Li, Ruisen Lu, Xue‐Jun Ge, Shota Sakaguchi, Susan K. Pierce, Xin Xu, Yongshuai Sun and Jianquan Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and Scientific Reports.

In The Last Decade

Yingxiong Qiu

97 papers receiving 3.8k citations

Hit Papers

Plant molecular phylogeography in China and adjacent regi... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingxiong Qiu China 32 2.1k 1.8k 1.6k 1.1k 459 101 3.9k
Hanno Schaefer Germany 28 1.3k 0.6× 1.3k 0.7× 1.7k 1.1× 1.7k 1.5× 439 1.0× 95 3.6k
Ming Kang China 30 2.3k 1.1× 1.4k 0.8× 2.0k 1.2× 1.9k 1.7× 377 0.8× 146 4.6k
Patrick Mardulyn Belgium 25 1.9k 0.9× 1.4k 0.8× 1.8k 1.1× 864 0.8× 280 0.6× 68 4.0k
Matthew A. Gitzendanner United States 28 2.0k 0.9× 1.4k 0.8× 2.0k 1.3× 1.6k 1.4× 394 0.9× 66 3.8k
Qiu‐Yun Xiang United States 33 2.3k 1.1× 869 0.5× 2.6k 1.6× 1.7k 1.5× 367 0.8× 107 4.0k
Loreta B. Freitas Brazil 29 1.1k 0.5× 1.0k 0.6× 1.5k 0.9× 1.1k 1.0× 289 0.6× 131 2.6k
Konrad Bachmann Germany 38 1.5k 0.7× 1.5k 0.9× 1.8k 1.1× 2.3k 2.1× 376 0.8× 135 4.2k
Maurizio Rossetto Australia 35 1.6k 0.8× 1.7k 0.9× 1.6k 1.0× 1.5k 1.4× 1.0k 2.2× 156 4.4k
Anne K. Brysting Norway 30 1.4k 0.7× 975 0.5× 1.5k 0.9× 1.9k 1.7× 267 0.6× 65 3.5k
Richard Cronn United States 43 4.3k 2.0× 2.1k 1.2× 2.7k 1.7× 3.8k 3.4× 532 1.2× 100 7.8k

Countries citing papers authored by Yingxiong Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Yingxiong Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingxiong Qiu

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

All Works

20 of 20 papers shown
2.
Ma, Yazhen, et al.. (2024). Chromosome-level genome assembly of American sweetgum (Liquidambar styraciflua, Altingiaceae). Scientific Data. 11(1). 1078–1078. 1 indexed citations
3.
Comes, Hans Peter, Jun Chen, Shanshan Zhu, et al.. (2023). Genome sequences and population genomics provide insights into the demographic history, inbreeding, and mutation load of two ‘living fossil’ tree species of Dipteronia. The Plant Journal. 117(1). 177–192. 21 indexed citations
5.
Takahashi, Daiki, Yuji Isagi, Pan Li, et al.. (2022). Stable persistence of relict populations involved evolutionary shifts of reproductive characters in the genus Tanakaea (Saxifragaceae). Journal of Systematics and Evolution. 60(6). 1405–1416. 3 indexed citations
7.
Zhu, Shanshan, Jun Chen, Jing Zhao, et al.. (2020). Genomic insights on the contribution of balancing selection and local adaptation to the long‐term survival of a widespread living fossil tree, Cercidiphyllum japonicum. New Phytologist. 228(5). 1674–1689. 36 indexed citations
8.
Xu, Wuqin, Chuan Chen, Pan Li, et al.. (2018). Comparative genomics of figworts (Scrophularia, Scrophulariaceae), with implications for the evolution of Scrophularia and Lamiales. Journal of Systematics and Evolution. 57(1). 55–65. 27 indexed citations
9.
Cao, Yanan, et al.. (2018). Inferring spatial patterns and drivers of population divergence of Neolitsea sericea (Lauraceae), based on molecular phylogeography and landscape genomics. Molecular Phylogenetics and Evolution. 126. 162–172. 23 indexed citations
10.
Qiu, Yingxiong, et al.. (2017). Phylogeography of East Asia’s Tertiary relict plants: current progress and future prospects. Biodiversity Science. 25(2). 24–28. 40 indexed citations
11.
Lu, Ruisen, Pan Li, & Yingxiong Qiu. (2017). The Complete Chloroplast Genomes of Three Cardiocrinum (Liliaceae) Species: Comparative Genomic and Phylogenetic Analyses. Frontiers in Plant Science. 7. 2054–2054. 127 indexed citations
13.
Li, Xiaohong, et al.. (2012). Chloroplast phylogeography of a temperate tree Pteroceltis tatarinowii (Ulmaceae) in China. Journal of Systematics and Evolution. 50(4). 325–333. 41 indexed citations
14.
Qiu, Yingxiong, et al.. (2012). Development of microsatellite markers for the dove tree, Davidia involucrata (Nyssaceae), a rare endemic from China. American Journal of Botany. 99(5). e206–9. 6 indexed citations
15.
Sun, Yi, et al.. (2010). Development, characterization, and transferability of microsatellite markers for Kirengeshoma palmata (Hydrangeaceae). American Journal of Botany. 97(6). e48–51. 6 indexed citations
16.
Wang, Yihong, et al.. (2009). A two-locus chloroplast (cp) DNA barcode for identification of different species in Eucalyptus.. Acta Horticulturae Sinica. 36(11). 1651–1658. 5 indexed citations
17.
Qiu, Yingxiong, Xinwen Zhou, Chengxin Fu, & Yuk Sing Gilbert Chan. (2005). A preliminary study of genetic variation in the endangered, Chinese endemic species Dysosma versipellis (Berberidaceae). PolyU Institutional Research Archive (Hong Kong Polytechnic University). 22 indexed citations
18.
Qiu, Yingxiong, Chengxin Fu, & Feijie Wu. (2003). [Analysis of population genetic structure and molecular identification of Changium smyrnioides and Chuanminshen violaceum with ISSR marker].. PubMed. 28(7). 598–603. 9 indexed citations
19.
Fu, Chengxin, Yingxiong Qiu, & Hanghui Kong. (2003). RAPD analysis for genetic diversity in Changium smyrnioides (Apiaceae), an endangered plant1. Zhōngyāng yánjiūyuàn zhíwùxué huikān/Zhōngyāng yánjiūyuàn zhíwùxué huikān. 44(1). 13–18. 69 indexed citations
20.
Dahlseid, Jeffrey N., et al.. (1994). PBP74, a new member of the mammalian 70-kDa heat shock protein family, is a mitochondrial protein.. Molecular Biology of the Cell. 5(11). 1265–1275. 44 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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