Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
HBXIP-elevated methyltransferase METTL3 promotes the progression of breast cancer via inhibiting tumor suppressor let-7g
2017390 citationsShuqin Zhang, Yunxia Liu et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Yunxia Liu'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 Yunxia Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunxia Liu more than expected).
This network shows the impact of papers produced by Yunxia Liu. 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 Yunxia Liu. The network helps show where Yunxia Liu may publish in the future.
Co-authorship network of co-authors of Yunxia Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yunxia Liu.
A scholar is included among the top collaborators of Yunxia Liu 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 Yunxia Liu. Yunxia Liu is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, Yunxia. (2013). Formation of Iron Plaque on Root Surface and Its Effect on Cd Uptake and Translocation by Rice(Oryza sativa L.)at Different Growth Stages. Nongye huanjing kexue xuebao.6 indexed citations
12.
Liu, Yunxia. (2013). Interactions between arsenic and selenium uptake and translocation in rice(Oryza sativa L.) seedlings. Environmental Chemistry.1 indexed citations
13.
Zhou, Yiqi & Yunxia Liu. (2013). [Occurrence and fate of phthalates in wastewater treatment plants in Beijing, China].. PubMed. 34(4). 1357–62.9 indexed citations
14.
Liu, Yunxia. (2008). Optimization of Operational Route in AS/RS Based on Particle Swarm Algorithm.1 indexed citations
15.
Liu, Yunxia. (2006). Uptake and Accumulation of Arsenic by Different Soybean Varieties. Nongye huanjing kexue xuebao.6 indexed citations
16.
Liu, Yunxia, et al.. (2004). [Effect of land-use change on soil habitat in north Hebei plateau during last 50 years].. PubMed. 15(4). 589–92.1 indexed citations
17.
Sun, Jianzhong, et al.. (2003). Effect of land-use and land-cover change on nutrients in soil in Bashang area, China.. PubMed. 15(4). 548–53.7 indexed citations
18.
Liu, Yunxia, et al.. (2003). Relation between some variations of soil and surface vegetatio and desertization in agriculture-pasture interlacing zone an example from Kangbao County, North Hebei, China.. PubMed. 15(1). 112–5.2 indexed citations
19.
Liu, Yunxia, et al.. (2002). [Correlation between desertification and variations of soil and surface vegetation in agriculture-pasture ecotone--a case study in Kangbao County, northern Hebei Province].. PubMed. 13(7). 909–10.2 indexed citations
20.
Dai, Zhaohua, et al.. (1998). Geological characteristics of .environmental in Leling jijithts prodtcing area.. Journal of Applied Ecology. 9(5). 487–490.2 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.