Zhang Wang

6.7k total citations · 2 hit papers
113 papers, 3.4k citations indexed

About

Zhang Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Zhang Wang has authored 113 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 25 papers in Pulmonary and Respiratory Medicine and 13 papers in Epidemiology. Recurrent topics in Zhang Wang's work include Gut microbiota and health (27 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (22 papers) and Pediatric health and respiratory diseases (11 papers). Zhang Wang is often cited by papers focused on Gut microbiota and health (27 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (22 papers) and Pediatric health and respiratory diseases (11 papers). Zhang Wang collaborates with scholars based in China, United States and United Kingdom. Zhang Wang's co-authors include Martin Wu, James R. Brown, B. Franz Lang, XU Shi-ying, Lise Forget, Christopher E. Brightling, Bruce E. Miller, Ruth Tal‐Singer, Xinzhu Yi and Bruno Paquin and has published in prestigious journals such as Nucleic Acids Research, Nature Medicine and Nature Communications.

In The Last Decade

Zhang Wang

107 papers receiving 3.3k citations

Hit Papers

Lung microbiome dynamics in COPD exacerbations 2016 2026 2019 2022 2016 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhang Wang China 32 1.9k 682 429 365 345 113 3.4k
Morten Arendt Rasmussen Denmark 40 1.4k 0.8× 587 0.9× 271 0.6× 207 0.6× 626 1.8× 177 5.0k
Thomas H. Hampton United States 32 1.5k 0.8× 936 1.4× 112 0.3× 213 0.6× 173 0.5× 82 3.3k
Chang Yu United States 46 3.2k 1.7× 788 1.2× 1.4k 3.2× 303 0.8× 57 0.2× 155 8.7k
Ranjit Kumar India 33 1.3k 0.7× 257 0.4× 257 0.6× 171 0.5× 66 0.2× 194 3.2k
James R. White United States 44 3.7k 2.0× 1.3k 1.9× 626 1.5× 1.0k 2.9× 86 0.2× 145 8.1k
Takuji Yamada Japan 32 3.1k 1.6× 201 0.3× 283 0.7× 659 1.8× 44 0.1× 143 5.1k
Kai Zhou China 36 1.6k 0.9× 248 0.4× 324 0.8× 485 1.3× 35 0.1× 206 4.8k
Jae‐Han Kim South Korea 30 2.5k 1.3× 228 0.3× 129 0.3× 93 0.3× 74 0.2× 116 4.1k
Sharmila S. Mande India 33 2.4k 1.3× 122 0.2× 179 0.4× 477 1.3× 65 0.2× 110 3.6k
Daniel Spakowicz United States 19 1.4k 0.7× 153 0.2× 359 0.8× 287 0.8× 25 0.1× 75 2.7k

Countries citing papers authored by Zhang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhang Wang. A scholar is included among the top collaborators of Zhang Wang 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 Zhang Wang. Zhang Wang 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.
Cai, Hongbing, Lei Yang, Jinwei Gao, et al.. (2025). Sputum Microbiota Compositions Correlate With Metabolome and Clinical Outcomes of COPD‐Bronchiectasis Association: A Prospective Cohort Study. Exploration. 5(4). e20240149–e20240149.
2.
Yatera, Kazuhiro, Zhang Wang, Yoko Shibata, et al.. (2025). Sputum Microbiome, Potentially Pathogenic Organisms, and Clinical Outcomes in Japanese Patients with COPD and Moderate Airflow Limitation: The Prospective AERIS-J Study. International Journal of COPD. Volume 20. 1477–1492.
3.
Yi, Xinzhu, Jie‐Liang Liang, Pu Jia, et al.. (2024). Giant viruses as reservoirs of antibiotic resistance genes. Nature Communications. 15(1). 7536–7536. 14 indexed citations
4.
Cheng, Minghui, Xiao Cui, Jun Xu, et al.. (2024). Deep longitudinal lower respiratory tract microbiome profiling reveals genome-resolved functional and evolutionary dynamics in critical illness. Nature Communications. 15(1). 8361–8361. 7 indexed citations
5.
Li, Jianbo, et al.. (2023). De novo HNF1A mutation of young maturity-onset diabetes 3 of a young girl—Case report. BMC Endocrine Disorders. 23(1). 38–38. 1 indexed citations
6.
Yi, Xinzhu, Haiyue Liu, Ruilin Meng, et al.. (2023). The airway microbiome mediates the interaction between environmental exposure and respiratory health in humans. Nature Medicine. 29(7). 1750–1759. 53 indexed citations
7.
Yi, Xinzhu, Jie‐Liang Liang, Jian‐Qiang Su, et al.. (2022). Globally distributed mining-impacted environments are underexplored hotspots of multidrug resistance genes. The ISME Journal. 16(9). 2099–2113. 98 indexed citations
8.
Li, Naijian, Zhang Wang, Zhishan Deng, et al.. (2021). Gut microbiota dysbiosis contributes to the development of chronic obstructive pulmonary disease. Respiratory Research. 22(1). 274–274. 120 indexed citations
9.
Zhou, Yize, et al.. (2021). Federated Learning in Smart Cities: A Comprehensive Survey.. arXiv (Cornell University). 3 indexed citations
10.
Wang, Zhang, Yuqiong Yang, Zhengzheng Yan, et al.. (2020). Multi-omic meta-analysis identifies functional signatures of airway microbiome in chronic obstructive pulmonary disease. The ISME Journal. 14(11). 2748–2765. 52 indexed citations
11.
Wang, Zhang, Barbara Maschera, Simon Lea, et al.. (2019). Airway host-microbiome interactions in chronic obstructive pulmonary disease. Respiratory Research. 20(1). 113–113. 99 indexed citations
12.
Washburn, Michael L., Zhang Wang, Andrew H. Walton, et al.. (2019). T Cell– and Monocyte-Specific RNA-Sequencing Analysis in Septic and Nonseptic Critically Ill Patients and in Patients with Cancer. The Journal of Immunology. 203(7). 1897–1908. 38 indexed citations
13.
Wang, Zhang, Stephanie Van Horn, E. S. Thomas, et al.. (2017). Gut microbiome differences between metformin‐ and liraglutide‐treated T2DM subjects. Endocrinology Diabetes & Metabolism. 1(1). e00009–e00009. 62 indexed citations
14.
Sun, Peng, Ruiyang Xue, Zhang Wang, et al.. (2016). 有機汚染物質分解の光触媒:TiO_2/ガラス繊維布複合材料【Powered by NICT】. Catalysis Today. 274. 7. 1 indexed citations
15.
Wang, Zhang. (2009). The Analysis of Impulsive Effect Imposed on Domestic Investment and Economic Growth——Given the Analysis of VAR Model. Technoeconomics & Management Research. 1 indexed citations
16.
Wang, Juan, et al.. (2009). Study on dye adsorptive characteristics of activated carbons from pyrolusite-added sewage sludge.. Linchan huaxue yu gongye. 29(4). 37–40. 1 indexed citations
17.
Hui-nong, Cai, et al.. (2007). Oblikovanje jestivih filmova iz proteina soje unakrsnim vezivanjem transglutaminazom iz bakterije Streptomyces. Food Technology and Biotechnology. 45(4). 381–388. 6 indexed citations
18.
Wang, Zhang. (2004). EFFECTS OF PLANTING DENSITY ON CANOPY PHOTOSYNTHESIS, CANOPY STRUCTURE AND YIELD FORMATION OF HIGH-YIELD COTTON IN XINJIANG, CHINA. Acta Phytoecologica Sinica. 11 indexed citations
19.
Wang, Zhang. (2002). The gene therapy of central nervous system disorders. 1 indexed citations
20.
Wang, Zhang. (1999). Studies on the Relationship between Canopy Apparent Photosynthesis Rate and Yield in Cotton in North Xinjiang. 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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