Sufang Zhang

2.9k total citations · 1 hit paper
108 papers, 2.1k citations indexed

About

Sufang Zhang is a scholar working on Insect Science, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sufang Zhang has authored 108 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Insect Science, 31 papers in Genetics and 25 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sufang Zhang's work include Insect and Arachnid Ecology and Behavior (31 papers), Insect and Pesticide Research (21 papers) and Neurobiology and Insect Physiology Research (21 papers). Sufang Zhang is often cited by papers focused on Insect and Arachnid Ecology and Behavior (31 papers), Insect and Pesticide Research (21 papers) and Neurobiology and Insect Physiology Research (21 papers). Sufang Zhang collaborates with scholars based in China, Singapore and United Kingdom. Sufang Zhang's co-authors include Philip Andrews‐Speed, Xiaoli Zhao, Xiangbo Kong, Zhen Zhang, Hongbin Wang, Peng Wang, Yongxiu He, Fu Liu, William Li and Qiong Cai and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Sufang Zhang

103 papers receiving 2.1k citations

Hit Papers

Key areas and pathways for carbon emissions reduction in ... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

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.

  1. Key areas and pathways for carbon emissions reduction in Beijing for the “Dual Carbon” targets
    2022 134 citations Sufang Zhang et al. profile →

Peers

Sufang Zhang
Thomas Döring Germany
Grace C. Wu United States
Jeremy Fisher United States
Michael P. Popp United States
Zhihong Gao China
Runjie Zhang China
Anne Chambers United Kingdom
Feng Mao China
Jeffrey C. Williams United States
Paul E. Waggoner United States
Thomas Döring Germany
Sufang Zhang
Citations per year, relative to Sufang Zhang Sufang Zhang (= 1×) peers Thomas Döring

Countries citing papers authored by Sufang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Sufang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sufang Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Sufang Zhang. A scholar is included among the top collaborators of Sufang 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 Sufang Zhang. Sufang Zhang 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
1.
Chen, Yingxi, et al.. (2025). Integrated transcriptome and proteome analysis unveils black tea polyphenols metabolic pathways in Saccharomyces cerevisiae. Food Microbiology. 130. 104777–104777. 1 indexed citations
2.
Yan, Xu, Ying Yue, Sufang Zhang, et al.. (2024). Novel microbial fermentation for the preparation of iron-chelating scallop skirts peptides-its profile, identification, and possible binding mode. Food Chemistry. 451. 139493–139493. 21 indexed citations
3.
Zhang, Rong, Yanlong Zhang, Xizhuo Wang, et al.. (2024). Disrupting the olfactory response in Monochamus saltuarius: Two potential target genes for controlling the vector insect of pine wilt disease. Insect Science. 32(3). 881–898. 1 indexed citations
4.
Shi, Xia, Sufang Zhang, Fu Liu, et al.. (2023). Solid‐phase microextraction and cuticular hydrocarbon differences related to reproductive activity in juniper bark borer Semanotus bifasciatus Motschulsky. Journal of Systematics and Evolution. 61(3). 498–505. 3 indexed citations
5.
Zhang, Xun, Qinghua Wang, Xiangbo Kong, et al.. (2022). RNAi Efficiency through dsRNA Injection Is Enhanced by Knockdown of dsRNA Nucleases in the Fall Webworm, Hyphantria cunea (Lepidoptera: Arctiidae). International Journal of Molecular Sciences. 23(11). 6182–6182. 18 indexed citations
6.
Zhang, Xun, Rong Zhang, Xiangbo Kong, et al.. (2022). Bacteria‐mediated RNAi for managing fall webworm, Hyphantria cunea : screening target genes and analyzing lethal effect. Pest Management Science. 79(4). 1566–1577. 15 indexed citations
7.
Shi, Xia, Chunmei Yu, Mei Deng, et al.. (2022). Insights into the Divergence of Chinese Ips Bark Beetles during Evolutionary Adaptation. Biology. 11(3). 384–384. 4 indexed citations
8.
Shi, Xia, Sufang Zhang, Fu Liu, et al.. (2021). Comparative Analysis of Eight Mitogenomes of Bark Beetles and Their Phylogenetic Implications. Insects. 12(10). 949–949. 8 indexed citations
9.
10.
Zhang, Sufang, et al.. (2020). Functional investigation of monoterpenes for improved understanding of the relationship between hosts and bark beetles. Journal of Applied Entomology. 145(4). 303–311. 18 indexed citations
11.
12.
Zhang, Sufang, Xiangbo Kong, Fu Liu, & Zhen Zhang. (2020). Identification and Expression Patterns of Opsin Genes in a Forest Insect, Dendrolimus punctatus. Insects. 11(2). 116–116. 7 indexed citations
13.
Zhang, Sufang, Xin Zhou, Xiangbo Kong, et al.. (2020). Chromosome‐level genome assembly of an important pine defoliator, Dendrolimus punctatus (Lepidoptera; Lasiocampidae). Molecular Ecology Resources. 20(4). 1023–1037. 22 indexed citations
14.
Wu, Wei, Zhen Zhang, Yuming Wang, et al.. (2019). Morphological analysis of sensilla on different organs in Pachyneuron aphidis, a hyperparasitoid of Myzus persicae. Microscopy Research and Technique. 82(10). 1810–1818. 3 indexed citations
15.
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Liu, Fu, Fangyu Li, Sufang Zhang, Xiangbo Kong, & Zhen Zhang. (2019). Ultrastructure of antennal sensilla of Erannis ankeraria Staudinger (Lepidoptera: Geometridae). Microscopy Research and Technique. 82(11). 1903–1910. 8 indexed citations
17.
Liu, Fu, Xiangbo Kong, Sufang Zhang, & Zhen Zhang. (2019). Facile and Efficient Syntheses of (11Z,13Z)-Hexadecadienal and Its Derivatives: Key Sex Pheromone and Attractant Components of Notodontidae. Molecules. 24(9). 1781–1781. 4 indexed citations
18.
Wang, Huimin, Fu Liu, Sufang Zhang, et al.. (2019). Epibiotic Fungal Communities of Three Tomicus spp. Infesting Pines in Southwestern China. Microorganisms. 8(1). 15–15. 8 indexed citations
19.
Zhang, Sufang, et al.. (2019). Chemosensory Characteristics of Two Semanotus bifasciatus Populations. Forests. 10(8). 655–655. 3 indexed citations
20.
Andrews‐Speed, Philip, Sufang Zhang, Xiaoli Zhao, & Yongxiu He. (2013). Interactions between Renewable Energy Policy and Renewable Energy Industrial Policy: A Critical Analysis of China's Policy Approach to Renewable Energies’. SSRN Electronic Journal. 5 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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