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.
Crop rotation and native microbiome inoculation restore soil capacity to suppress a root disease
2023100 citationsYanyan Zhou, Zhen Yang et al.Nature Communicationsprofile →
Acidification suppresses the natural capacity of soil microbiome to fight pathogenic Fusarium infections
202396 citationsXiaogang Li, Víctor J. Carrión et al.Nature Communicationsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Taolin 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 Taolin Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taolin Zhang more than expected).
This network shows the impact of papers produced by Taolin 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 Taolin Zhang. The network helps show where Taolin Zhang may publish in the future.
Co-authorship network of co-authors of Taolin Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Taolin Zhang.
A scholar is included among the top collaborators of Taolin 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 Taolin Zhang. Taolin Zhang is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wang, Xingxiang, et al.. (2014). UTILIZATION OF CROP STRAW RESOURCES IN ANHUI PROVINCE, EASTERN CHINA. Bulgarian Journal of Agricultural Science. 20(6). 1302–1310.9 indexed citations
14.
Li, Zhongpei, Taolin Zhang, Fengxiang X. Han, & Peter Felix‐Henningsen. (2005). Changes in Soil C and N Contents and Mineralization across a Cultivation Chronosequence of Paddy Fields in Subtropical China. Pedosphere. 15(5). 554–562.26 indexed citations
15.
Zhang, Taolin. (2004). Contents of Heavy Metal Elements in Paddy Soils Cultivated for Different Years in a Red Soil Region. T'u Jang T'ung Pao.1 indexed citations
16.
Lou, Yunsheng, Zhongpei Li, & Taolin Zhang. (2003). Soil CO2 flux in relation to dissolved organic carbon, soil temperature and moisture in a subtropical arable soil of China.. PubMed. 15(5). 715–20.7 indexed citations
17.
Zhang, Taolin, et al.. (2002). Characteristics of Pore Structure at Various Places of a Low-hill Using the Techniques of Soil Sections and Digital Images. T'u Jang T'ung Pao.1 indexed citations
18.
Zhang, Taolin, et al.. (2002). Analysis of Mass Fractal Dimension Dm of Pore Structure in Soil and Influencing Factors. T'u Jang T'ung Pao.4 indexed citations
19.
Sun, Bo, Taolin Zhang, & Zhao Qiguo. (2000). Leaching and redistribution of nutrients in surface layer of red soils in Southeast China.. Pedosphere. 10(2). 135–142.6 indexed citations
20.
Lu, Zhihong, et al.. (2000). Effect of plant roots on penetrability and anti-scouribility of red soil derived from granite.. Pedosphere. 10(2). 183–188.17 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.