Husen Zhang

5.9k total citations · 2 hit papers
35 papers, 4.7k citations indexed

About

Husen Zhang is a scholar working on Molecular Biology, Environmental Engineering and Pollution. According to data from OpenAlex, Husen Zhang has authored 35 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Environmental Engineering and 9 papers in Pollution. Recurrent topics in Husen Zhang's work include Microbial Fuel Cells and Bioremediation (13 papers), Gut microbiota and health (11 papers) and Wastewater Treatment and Nitrogen Removal (7 papers). Husen Zhang is often cited by papers focused on Microbial Fuel Cells and Bioremediation (13 papers), Gut microbiota and health (11 papers) and Wastewater Treatment and Nitrogen Removal (7 papers). Husen Zhang collaborates with scholars based in United States, China and Sweden. Husen Zhang's co-authors include Bruce E. Rittmann, Rosa Krajmalnik‐Brown, John K. DiBaise, Michael D. Crowell, Prathap Parameswaran, Bruce E. Logan, Xin Luo, Rod A. Wing, Yeisoo Yu and Andrea Zuccolo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and The Journal of Immunology.

In The Last Decade

Husen Zhang

35 papers receiving 4.5k citations

Hit Papers

Human gut microbiota in obesity and after gastric bypass 2009 2026 2014 2020 2009 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Husen Zhang United States 27 2.3k 1.2k 616 563 501 35 4.7k
Jeffrey J. Werner United States 23 2.1k 0.9× 399 0.3× 495 0.8× 1.0k 1.8× 302 0.6× 28 4.7k
Massimo Marzorati Belgium 50 3.7k 1.6× 789 0.7× 829 1.3× 1.2k 2.1× 532 1.1× 176 9.0k
Daisuke Inoue Japan 43 2.8k 1.2× 1.1k 0.9× 201 0.3× 1.3k 2.3× 171 0.3× 237 7.0k
Peter Strong United Kingdom 47 1.4k 0.6× 574 0.5× 260 0.4× 1.0k 1.8× 236 0.5× 122 6.6k
Henning Seedorf Singapore 24 3.9k 1.7× 587 0.5× 523 0.8× 372 0.7× 678 1.4× 44 6.3k
Cindy H. Nakatsu United States 47 2.5k 1.1× 499 0.4× 349 0.6× 1.7k 3.1× 300 0.6× 131 6.6k
Daniel P. Smith United States 31 2.6k 1.1× 373 0.3× 161 0.3× 298 0.5× 725 1.4× 59 4.8k
Jana Seifert Germany 42 2.7k 1.2× 358 0.3× 290 0.5× 992 1.8× 451 0.9× 169 5.4k
Ramiro Vilchez‐Vargas Germany 36 1.5k 0.7× 238 0.2× 247 0.4× 838 1.5× 300 0.6× 99 3.6k
Shuang‐Jiang Liu China 48 5.1k 2.2× 696 0.6× 477 0.8× 1.7k 3.0× 246 0.5× 279 8.8k

Countries citing papers authored by Husen Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Husen Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Husen Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Husen Zhang. A scholar is included among the top collaborators of Husen 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 Husen Zhang. Husen 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
2.
Twitchell, Erica, Ke Wen, Husen Zhang, et al.. (2016). Modeling human enteric dysbiosis and rotavirus immunity in gnotobiotic pigs. Gut Pathogens. 8(1). 51–51. 52 indexed citations
3.
Li, Yuan, Wei Zhi, Yangsheng Liu, et al.. (2016). Aerobic and anaerobic microbial degradation of crude (4-methylcyclohexyl)methanol in river sediments. The Science of The Total Environment. 547. 78–86. 8 indexed citations
4.
Li, Xiaojin, Shan Sun, Brian D. Badgley, et al.. (2016). Nitrogen removal by granular nitritation–anammox in an upflow membrane-aerated biofilm reactor. Water Research. 94. 23–31. 175 indexed citations
5.
Li, Yuan, Wei Zhi, Yangsheng Liu, et al.. (2015). Degradation of cis - and trans -(4-methylcyclohexyl) methanol in activated sludge. Journal of Hazardous Materials. 306. 247–256. 4 indexed citations
6.
Mu, Qinghui, Husen Zhang, & Xin Luo. (2015). SLE: Another Autoimmune Disorder Influenced by Microbes and Diet?. Frontiers in Immunology. 6. 608–608. 104 indexed citations
7.
Zhang, Husen & Xin Luo. (2015). Control of commensal microbiota by the adaptive immune system. Gut Microbes. 6(2). 156–160. 18 indexed citations
8.
Zhang, Husen, Haifeng Wang, Megan Shepherd, et al.. (2014). Probiotics and virulent human rotavirus modulate the transplanted human gut microbiota in gnotobiotic pigs. Gut Pathogens. 6(1). 39–39. 42 indexed citations
9.
Zhang, Husen, et al.. (2014). Phylogenetic and Metagenomic Analyses of Substrate-Dependent Bacterial Temporal Dynamics in Microbial Fuel Cells. PLoS ONE. 9(9). e107460–e107460. 30 indexed citations
10.
Zhi, Wei, Zheng Ge, Zhen He, & Husen Zhang. (2014). Methods for understanding microbial community structures and functions in microbial fuel cells: A review. Bioresource Technology. 171. 461–468. 137 indexed citations
11.
Zhang, Husen. (2011). Using pyrosequencing and quantitative PCR to analyze microbial communities. Frontiers of Environmental Science & Engineering in China. 5(1). 21–27. 3 indexed citations
12.
Zhang, Husen, Prathap Parameswaran, Jonathan P. Badalamenti, Bruce E. Rittmann, & Rosa Krajmalnik‐Brown. (2011). Integrating High-Throughput Pyrosequencing and Quantitative Real-Time PCR to Analyze Complex Microbial Communities. Methods in molecular biology. 733. 107–128. 25 indexed citations
13.
Tang, Yue‐Qin, et al.. (2010). Gradient decrement of annealing time can improve PCR with fluorescent-labeled primers. Journal of Bioscience and Bioengineering. 110(4). 500–504. 7 indexed citations
14.
Zhang, Husen, John K. DiBaise, Andrea Zuccolo, et al.. (2009). Human gut microbiota in obesity and after gastric bypass. Proceedings of the National Academy of Sciences. 106(7). 2365–2370. 1481 indexed citations breakdown →
15.
Parameswaran, Prathap, Husen Zhang, César I. Torres, Bruce E. Rittmann, & Rosa Krajmalnik‐Brown. (2009). Microbial community structure in a biofilm anode fed with a fermentable substrate: The significance of hydrogen scavengers. Biotechnology and Bioengineering. 105(1). 69–78. 131 indexed citations
17.
Lee, Hyung‐Sool, et al.. (2009). An electron‐flow model can predict complex redox reactions in mixed‐culture fermentative BioH2: Microbial ecology evidence. Biotechnology and Bioengineering. 104(4). 687–697. 49 indexed citations
18.
DiBaise, John K., Husen Zhang, Michael D. Crowell, et al.. (2008). Gut Microbiota and Its Possible Relationship With Obesity. Mayo Clinic Proceedings. 83(4). 460–469. 435 indexed citations
19.
Zhang, Husen, Mary Ann Bruns, & Bruce E. Logan. (2006). Biological hydrogen production by Clostridium acetobutylicum in an unsaturated flow reactor. Water Research. 40(4). 728–734. 194 indexed citations
20.
Iyer, Prabha, et al.. (2004). H2-Producing bacterial communities from a heat-treated soil inoculum. Applied Microbiology and Biotechnology. 66(2). 166–173. 87 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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