Zheng Feng

5.6k total citations
130 papers, 3.7k citations indexed

About

Zheng Feng is a scholar working on Parasitology, Ecology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Zheng Feng has authored 130 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Parasitology, 39 papers in Ecology and 37 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Zheng Feng's work include Parasites and Host Interactions (59 papers), Parasite Biology and Host Interactions (34 papers) and Helminth infection and control (24 papers). Zheng Feng is often cited by papers focused on Parasites and Host Interactions (59 papers), Parasite Biology and Host Interactions (34 papers) and Helminth infection and control (24 papers). Zheng Feng collaborates with scholars based in China, United States and Australia. Zheng Feng's co-authors include Donald P. McManus, Gail Williams, Allen G. Ross, Wei Hu, Yuesheng Li, George M. Davis, Xiuzhen Pan, Darren J. Gray, Jiaqi Tang and Adrian Sleigh and has published in prestigious journals such as Nature Communications, PLoS ONE and Clinical Microbiology Reviews.

In The Last Decade

Zheng Feng

125 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zheng Feng China 34 2.0k 1.4k 1.2k 566 558 130 3.7k
Ricardo Toshio Fujiwara Brazil 39 2.3k 1.1× 984 0.7× 1.9k 1.6× 703 1.2× 663 1.2× 244 4.8k
David Diemert United States 30 3.0k 1.5× 1.8k 1.3× 1.0k 0.9× 384 0.7× 901 1.6× 66 4.4k
Gilles Riveau France 31 1.6k 0.8× 834 0.6× 848 0.7× 480 0.8× 267 0.5× 75 3.3k
Antonio Muro Spain 33 2.0k 1.0× 1.1k 0.8× 810 0.7× 420 0.7× 767 1.4× 226 3.6k
Thewarach Laha Thailand 35 3.3k 1.6× 1.9k 1.3× 319 0.3× 861 1.5× 1.2k 2.1× 119 4.9k
Bin Zhan United States 42 2.9k 1.5× 1.9k 1.4× 715 0.6× 990 1.7× 1.2k 2.1× 178 5.0k
W. Evan Secor United States 47 3.9k 2.0× 1.5k 1.1× 1.6k 1.4× 518 0.9× 592 1.1× 164 6.5k
Tong‐Soo Kim South Korea 28 1.5k 0.7× 581 0.4× 1.1k 0.9× 362 0.6× 427 0.8× 158 2.7k
Byoung‐Kuk Na South Korea 28 1.4k 0.7× 804 0.6× 897 0.8× 533 0.9× 598 1.1× 213 2.9k
Julie Jacobson United States 20 1.6k 0.8× 715 0.5× 1.4k 1.2× 192 0.3× 357 0.6× 45 2.9k

Countries citing papers authored by Zheng Feng

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Feng. A scholar is included among the top collaborators of Zheng Feng 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 Zheng Feng. Zheng Feng 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.
Du, Wenjuan, Zheng Feng, & Yi Zhao. (2025). The impact of lifting COVID-19 restrictions on influenza transmission across countries. Advances in Continuous and Discrete Models. 2025(1). 3 indexed citations
2.
Dai, Mingyun, et al.. (2025). Sex hormones and epigenetic dysregulation in autoimmune disease. Current Opinion in Immunology. 95. 102595–102595. 1 indexed citations
3.
4.
Wang, Tao, Dan Song, Xuejuan Li, et al.. (2024). MiR-574-5p activates human TLR8 to promote autoimmune signaling and lupus. Cell Communication and Signaling. 22(1). 220–220. 6 indexed citations
5.
Gu, Dachuan, et al.. (2023). The Histone H3K27 Demethylase REF6 Is a Positive Regulator of Light-Initiated Seed Germination in Arabidopsis. Cells. 12(2). 295–295. 4 indexed citations
6.
Ding, Chenxi, et al.. (2019). A novel small RNA contributes to restrain cellular chain length and anti-phagocytic ability in Streptococcus suis 2. Microbial Pathogenesis. 137. 103730–103730. 7 indexed citations
7.
Fan, Weiwei, Qianqian Wu, Zheng Feng, et al.. (2018). Streptococcus suis DivIVA Protein Is a Substrate of Ser/Thr Kinase STK and Involved in Cell Division Regulation. Frontiers in Cellular and Infection Microbiology. 8. 85–85. 19 indexed citations
8.
Feng, Zheng, Zhu‐Qing Shao, Qianqian Wu, et al.. (2018). Identification of oligopeptide-binding protein (OppA) and its role in the virulence of Streptococcus suis serotype 2. Microbial Pathogenesis. 118. 322–329. 25 indexed citations
9.
Wang, Jipeng, Ying Yu, Hai‐Mo Shen, et al.. (2017). Dynamic transcriptomes identify biogenic amines and insect-like hormonal regulation for mediating reproduction in Schistosoma japonicum. Nature Communications. 8(1). 14693–14693. 60 indexed citations
10.
Wang, Jing, Youjun Feng, Changjun Wang, et al.. (2017). Genome-wide analysis of a avirulent and reveal the strain induces pro-tective immunity against challenge with virulent Streptococcus suis Serotype 2. BMC Microbiology. 17(1). 67–67. 8 indexed citations
11.
Hu, Dan, Fengyu Zhang, Huimin Zhang, et al.. (2014). The β-galactosidase (BgaC) of the zoonotic pathogen Streptococcus suis is a surface protein without the involvement of bacterial virulence. Scientific Reports. 4(1). 4140–4140. 8 indexed citations
12.
Xu, Bin, Catherine A. Gordon, Wei Hu, et al.. (2012). A Novel Procedure for Precise Quantification of Schistosoma japonicum Eggs in Bovine Feces. PLoS neglected tropical diseases. 6(11). e1885–e1885. 25 indexed citations
13.
14.
Cao, Min, Youjun Feng, Changjun Wang, et al.. (2011). Functional definition of LuxS, an autoinducer-2 (AI-2) synthase and its role in full virulence of Streptococcus suis serotype 2. The Journal of Microbiology. 49(6). 1000–1011. 42 indexed citations
15.
Gray, Darren J., Gail Williams, Yuesheng Li, et al.. (2009). A Cluster-Randomised Intervention Trial against Schistosoma japonicum in the Peoples' Republic of China: Bovine and Human Transmission. PLoS ONE. 4(6). e5900–e5900. 75 indexed citations
16.
Da’dara, Akram A., Jie Zhou, Gail Williams, et al.. (2008). DNA-based vaccines protect against zoonotic schistosomiasis in water buffalo. Vaccine. 26(29-30). 3617–3625. 114 indexed citations
17.
Parvathi, Ammini, H. Sanath Kumar, Xue-Nian Xu, et al.. (2006). Clonorchis sinensis: Development and evaluation of a nested polymerase chain reaction (PCR) assay. Experimental Parasitology. 115(3). 291–295. 37 indexed citations
18.
Wang, Lili, Yang Zhong, Yuanyuan Li, et al.. (2006). Reconstruction and in silico analysis of the MAPK signaling pathways in the human blood fluke,Schistosoma japonicum. FEBS Letters. 580(15). 3677–3686. 23 indexed citations
19.
Zhan, Bin, et al.. (2001). Species-Specific Identification of Human Hookworms by PCR of the Mitochondrial Cytochrome Oxidase I Gene. Journal of Parasitology. 87(5). 1227–1229. 41 indexed citations
20.
Shuhua, Xiao, Peter J. Hotez, Qiyang Li, et al.. (1999). Epidemiology of human ancylostomiasis among rural villagers in Nanlin County (Zhongzhou village), Anhui Province, China: age-associated prevalence, intensity and hookworm species identification.. PubMed. 30(4). 692–7. 11 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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