Zeliang Chen

4.7k total citations
190 papers, 3.2k citations indexed

About

Zeliang Chen is a scholar working on Small Animals, Molecular Biology and Epidemiology. According to data from OpenAlex, Zeliang Chen has authored 190 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Small Animals, 54 papers in Molecular Biology and 36 papers in Epidemiology. Recurrent topics in Zeliang Chen's work include Brucella: diagnosis, epidemiology, treatment (61 papers), Burkholderia infections and melioidosis (23 papers) and Bacteriophages and microbial interactions (21 papers). Zeliang Chen is often cited by papers focused on Brucella: diagnosis, epidemiology, treatment (61 papers), Burkholderia infections and melioidosis (23 papers) and Bacteriophages and microbial interactions (21 papers). Zeliang Chen collaborates with scholars based in China, United States and Mongolia. Zeliang Chen's co-authors include Yuehua Ke, Xia Yu, Ruifu Yang, Qianqian Lang, Yufei Wang, Zhengang Liu, Liuyu Huang, Chao Gai, Yanfen Chen and Dong Li and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Zeliang Chen

183 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zeliang Chen China 31 799 642 515 455 439 190 3.2k
Jan Mast Belgium 41 1.0k 1.3× 149 0.2× 820 1.6× 561 1.2× 603 1.4× 111 6.2k
Andreas Hensel Germany 32 982 1.2× 400 0.6× 155 0.3× 380 0.8× 284 0.6× 113 3.0k
P. Doig United Kingdom 35 1.1k 1.4× 395 0.6× 143 0.3× 371 0.8× 166 0.4× 119 3.8k
Annette Moter Germany 36 1.3k 1.7× 237 0.4× 336 0.7× 703 1.5× 1.0k 2.4× 116 4.9k
Jiakui Li China 36 1.9k 2.4× 359 0.6× 299 0.6× 509 1.1× 287 0.7× 292 4.8k
Meng Xiao China 41 1.1k 1.4× 214 0.3× 368 0.7× 2.5k 5.5× 2.0k 4.5× 264 5.7k
Nuno F. Azevedo Portugal 37 2.5k 3.1× 168 0.3× 1.0k 2.0× 524 1.2× 469 1.1× 161 5.1k
Gerald McDonnell United Kingdom 35 2.1k 2.7× 123 0.2× 505 1.0× 1.2k 2.6× 435 1.0× 76 7.1k
N. Jothikumar United States 28 374 0.5× 199 0.3× 393 0.8× 1.9k 4.2× 250 0.6× 60 3.5k
Piera Valenti Italy 49 1.7k 2.2× 151 0.2× 282 0.5× 1.5k 3.2× 796 1.8× 207 7.2k

Countries citing papers authored by Zeliang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zeliang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeliang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zeliang Chen. A scholar is included among the top collaborators of Zeliang Chen 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 Zeliang Chen. Zeliang Chen 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.
Liu, Jingsong, et al.. (2024). A stable thymidine kinase 1 tetramer for improved quality control of serum level quantification. Clinica Chimica Acta. 565. 119967–119967. 2 indexed citations
2.
Xu, Ping, Zeliang Chen, Lingyun Fang, et al.. (2024). Influence of Improved Particle Breakage Index on Deformation Strength Characteristics of Soil-Rock Mixtures. Applied Sciences. 14(13). 5899–5899.
3.
Li, Desheng, Feng J. He, Xinyan Fan, et al.. (2024). Postbiotic derived from Bacillus subtilis ACCC 11025 improves growth performance, mortality rate, immunity, and tibia health in broiler chicks. Frontiers in Veterinary Science. 11. 1414767–1414767. 5 indexed citations
4.
Han, Xiaohu, Xue Fang, Li Peng, et al.. (2024). Disruption of bacterial biofilms by a green synthesized artemisinin nano-copper nanomaterial. Metallomics. 16(7). 2 indexed citations
6.
Lu, Jingjing, Fang Huang, Qi Zhang, et al.. (2024). A genome-wide CRISPR screen identified host genes essential for intracellular Brucella survival. Microbiology Spectrum. 12(4). e0338323–e0338323. 4 indexed citations
7.
Liu, Xin, et al.. (2023). Comparative application of droplet-based digital and quantitative real-time PCR for human brucellosis detection. Diagnostic Microbiology and Infectious Disease. 107(4). 116087–116087. 1 indexed citations
8.
Zhai, Jingbo, et al.. (2023). Risk transboundary transmission areas and driving factors of brucellosis along the borders between China and Mongolia. Travel Medicine and Infectious Disease. 56. 102648–102648. 6 indexed citations
9.
Yang, Jianghua, et al.. (2022). Proteomic and Antibody Profiles Reveal Antigenic Composition and Signatures of Bacterial Ghost Vaccine of Brucella abortus A19. Frontiers in Immunology. 13. 874871–874871. 2 indexed citations
10.
Wen, Shubo, et al.. (2022). Ag85a-S2 Activates cGAS-STING Signaling Pathway in Intestinal Mucosal Cells. Vaccines. 10(12). 2170–2170. 3 indexed citations
11.
Zhang, Shuai, et al.. (2022). Ag85A, As an S2 Vaccine Carrier, Reduces the Toxicity of the S2 Vaccine and Enhances the Protective Ability of Mice against Brucella. Journal of Immunology Research. 2022. 1–9. 2 indexed citations
12.
Wen, Shubo, et al.. (2022). Oral S2-Ag85 DNA Vaccine Activated Intestinal Cell dsDNA and RNA Sensors to Promote the Presentation of Intestinal Antigen. Journal of Immunology Research. 2022. 1–10. 4 indexed citations
13.
Lu, Shanshan, Huahao Fan, Zeliang Chen, et al.. (2021). The Coxiella burnetii QpH1 Plasmid Is a Virulence Factor for Colonizing Bone Marrow-Derived Murine Macrophages. Journal of Bacteriology. 203(9). 11 indexed citations
14.
Zhang, Huan, Jin Wang, Huahao Fan, et al.. (2021). Ubiquitin-Modified Proteome of SARS-CoV-2-Infected Host Cells Reveals Insights into Virus–Host Interaction and Pathogenesis. Journal of Proteome Research. 20(5). 2224–2239. 40 indexed citations
15.
Xiong, Zhiyong, et al.. (2021). Clinical Treatment Experience in Severe and Critical COVID‐19. Mediators of Inflammation. 2021(1). 9924542–9924542. 5 indexed citations
16.
Wang, Mingyang, et al.. (2020). Transcriptome sequencing revealed the inhibitory mechanism of ketoconazole on clinical Microsporum canis. Journal of Veterinary Science. 22(1). e4–e4. 2 indexed citations
17.
Zhang, Leilei, Guoqing Jian, Maura Puerto, et al.. (2020). Crude Oil Recovery with Duomeen CTM-Stabilized Supercritical CO2 Foams for HPHT and Ultrahigh-Salinity Carbonate Reservoirs. Energy & Fuels. 34(12). 15727–15735. 32 indexed citations
18.
Singer, Philip M., et al.. (2018). Interpretation of NMR Relaxation in Bitumen and Organic Shale Using Polymer–Heptane Mixes. Energy & Fuels. 32(2). 1534–1549. 21 indexed citations
19.
Zhang, Wenyi, Yong Chen, Zeliang Chen, et al.. (2015). Field labs in action for Ebola control in Sierra Leone. SHILAP Revista de lepidopterología. 5 indexed citations
20.
Yang, Mingjuan, Yuehua Ke, Chao Liu, & Zeliang Chen. (2015). Diagnosis of Ebola Virus Disease: Progress and Prospects. SHILAP Revista de lepidopterología. 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.

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