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.
Applications of water-stable metal-organic frameworks in the removal of water pollutants: A review
2021387 citationsShu Zhang, Jiaqi Wang et al.Environmental Pollutionprofile →
Living at the Extremes: Extremophiles and the Limits of Life in a Planetary Context
This map shows the geographic impact of Shu Zhang'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 Shu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Zhang more than expected).
This network shows the impact of papers produced by Shu Zhang. 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 Shu Zhang. The network helps show where Shu Zhang may publish in the future.
Co-authorship network of co-authors of Shu Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Shu Zhang.
A scholar is included among the top collaborators of Shu Zhang 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 Shu Zhang. Shu Zhang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zhang, Shu, Jiaqi Wang, Yue Zhang, et al.. (2021). Applications of water-stable metal-organic frameworks in the removal of water pollutants: A review. Environmental Pollution. 291. 118076–118076.387 indexed citations breakdown →
Zou, Lina, et al.. (2018). Effect of sulfur on the bioavailability of arsenic in soil and its accumulation in rice plant (Oryza sativa L.).. Nongye huanjing kexue xuebao. 37(7). 1435–1447.1 indexed citations
Zhang, Shu. (2012). Functional microbial community composition analysis in the laboratory-scale stable partial nitrifying-ANAMMOX municipal wastewater reactor.2 indexed citations
Zhang, Shu. (2009). An oil reduction study on one microbial enhanced oil recovery (MEOR) streptococcus. Journal of Beijing University of Chemical Technology.1 indexed citations
14.
Zhang, Shu. (2007). Algorithm for Sparse Problem in Collaborative Filtering. Jisuanji yingyong yanjiu.7 indexed citations
15.
Zhang, Shu, et al.. (2006). Induction of Autotetraploid Non-heading Chinese Cabbage with High-quality and Heat-tolerance by Colchicine. JOURNAL OF WUHAN BOTANICAL RESEARCH.1 indexed citations
16.
Zhang, Shu. (2002). Urbanization Development Tendency and the Strategy for Sustainable Use of Water Resources in Tianjin. Urban Environment & Urban Ecology.
17.
Zhang, Shu. (2001). Advances of Research on the Plant Pathogenic Toxin.
18.
Zhang, Shu. (2000). Clonal Plasticity in Response to Nutrient Availability in the Stoloniferous Herb, Duchesnea indica. Zhiwu xuebao.6 indexed citations
19.
Zhang, Shu. (2000). The Effects of Different Nitrogen Nutrition Forms on Photosynthetic Characteristics in Wheat Leaves. ACTA AGRONOMICA SINICA.4 indexed citations
20.
Zhang, Shu. (2000). Different fractions of phosphorous and potassium in soils as affected by successive fertilization. Plant Nutrition and Fertilizing Science.1 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.