Xiaoming Wang

2.7k total citations · 1 hit paper
70 papers, 1.6k citations indexed

About

Xiaoming Wang is a scholar working on Infectious Diseases, Molecular Medicine and Molecular Biology. According to data from OpenAlex, Xiaoming Wang has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Infectious Diseases, 19 papers in Molecular Medicine and 11 papers in Molecular Biology. Recurrent topics in Xiaoming Wang's work include Antibiotic Resistance in Bacteria (19 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). Xiaoming Wang is often cited by papers focused on Antibiotic Resistance in Bacteria (19 papers), Antimicrobial Resistance in Staphylococcus (9 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). Xiaoming Wang collaborates with scholars based in China, United States and France. Xiaoming Wang's co-authors include Yang Wang, Zhangqi Shen, Suxia Zhang, Jianzhong Shen, Yao Wang, Ying Zhou, Wenjuan Yin, Jiyun Li, Shaolin Wang and Philippe Lefèvre and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Xiaoming Wang

69 papers receiving 1.6k citations

Hit Papers

Emergence of a novel mobile colistin resistance gene, mcr... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoming Wang China 21 690 496 353 323 294 70 1.6k
Mei Kang China 21 557 0.8× 514 1.0× 364 1.0× 368 1.1× 482 1.6× 80 1.8k
Gernot Zarfel Austria 23 893 1.3× 240 0.5× 539 1.5× 392 1.2× 155 0.5× 72 1.7k
Rebekah Henry Australia 18 716 1.0× 195 0.4× 244 0.7× 344 1.1× 144 0.5× 51 1.9k
Brian Luna United States 20 1.0k 1.5× 258 0.5× 182 0.5× 558 1.7× 327 1.1× 49 1.8k
Louise Pankhurst United Kingdom 17 522 0.8× 349 0.7× 120 0.3× 453 1.4× 340 1.2× 26 1.4k
Liang Li China 26 1.0k 1.5× 402 0.8× 533 1.5× 589 1.8× 187 0.6× 109 2.3k
Marijo Parčina Germany 25 443 0.6× 400 0.8× 407 1.2× 344 1.1× 227 0.8× 69 1.6k
Longyang Jin China 23 1.0k 1.5× 185 0.4× 404 1.1× 668 2.1× 297 1.0× 58 1.9k
Olivier Barraud France 18 733 1.1× 180 0.4× 640 1.8× 295 0.9× 160 0.5× 75 1.4k
Qixia Luo China 25 570 0.8× 187 0.4× 202 0.6× 593 1.8× 177 0.6× 58 1.6k

Countries citing papers authored by Xiaoming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Wang. A scholar is included among the top collaborators of Xiaoming 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 Xiaoming Wang. Xiaoming 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.
Wang, Xiaoming, et al.. (2025). An element-based peridynamics modeling method for contact problems with material fracture. Applied Mathematical Modelling. 150. 116359–116359. 1 indexed citations
2.
Li, Lei, Yongli Liu, Rong Guan, et al.. (2025). Deciphering the quorum sensing driven microbial coordination underlying anaerobic digester foaming. Water Research. 289. 124818–124818.
3.
4.
Wang, Xiaoming, et al.. (2024). Peridynamic analysis of rolling contact fatigue crack propagation in rail welding joints with pore defects. International Journal of Fatigue. 190. 108612–108612. 4 indexed citations
5.
Wang, Xiaoming, et al.. (2024). Study on fatigue damage tolerance of rail steel materials using peridynamics. Engineering Failure Analysis. 159. 108138–108138. 11 indexed citations
6.
Liu, Ao, et al.. (2024). Compare the efficacy of antifungal agents as primary therapy for invasive aspergillosis: a network meta-analysis. BMC Infectious Diseases. 24(1). 581–581. 6 indexed citations
7.
Wang, Liangliang, Fan Li, Ting Liu, et al.. (2024). Identification of a multidrug resistance genomic island harboring a nonfunctional optrA gene in Campylobacter coli of chicken origin. Veterinary Microbiology. 293. 110083–110083. 1 indexed citations
8.
Roy, Payel, et al.. (2023). Impact of COVID-19-related regulatory changes on nationwide access to buprenorphine: An interrupted time series design. SHILAP Revista de lepidopterología. 6. 100135–100135. 6 indexed citations
9.
Wang, Xiaoming, et al.. (2023). Nonlocal thermomechanical coupled analysis of wheel-rail contact using a peridynamic model. Wear. 528-529. 204954–204954. 12 indexed citations
10.
Huang, Jinhu, Zuowei Wu, Xiao Hu, et al.. (2023). Conjugative transfer of streptococcal prophages harboring antibiotic resistance and virulence genes. The ISME Journal. 17(9). 1467–1481. 30 indexed citations
11.
Liu, Xiao, et al.. (2023). Emergence of a novel ISS1N-optrA-carrying transposon within an integrative and conjugative element from Streptococcus parasuis. Journal of Antimicrobial Chemotherapy. 79(1). 61–65. 1 indexed citations
12.
Chen, Li, Jinhu Huang, Xinxin Huang, et al.. (2021). Horizontal Transfer of Different erm(B)-Carrying Mobile Elements Among Streptococcus suis Strains With Different Serotypes. Frontiers in Microbiology. 12. 628740–628740. 15 indexed citations
13.
Wang, Xiaoming, et al.. (2021). Molecular genetic characteristics of mcr-9-harbouring Salmonella enterica serotype Typhimurium isolated from raw milk. International Journal of Antimicrobial Agents. 57(5). 106332–106332. 14 indexed citations
14.
Wang, Xiaoming, Jianping Wang, Huochun Yao, et al.. (2021). The population structure, antimicrobial resistance, and pathogenicity of Streptococcus suis cps31. Veterinary Microbiology. 259. 109149–109149. 21 indexed citations
15.
Hu, Xuejiao, Qianyun Deng, Junmin Li, et al.. (2020). Development and Clinical Application of a Rapid and Sensitive Loop-Mediated Isothermal Amplification Test for SARS-CoV-2 Infection. mSphere. 5(4). 52 indexed citations
16.
Wang, Xiaoming, Yao Wang, Ying Zhou, et al.. (2018). Emergence of a novel mobile colistin resistance gene, mcr-8 , in NDM-producing Klebsiella pneumoniae. Emerging Microbes & Infections. 7(1). 1–9. 373 indexed citations breakdown →
17.
Liu, Zhihai, Jiyun Li, Xiaoming Wang, et al.. (2018). Novel Variant of New Delhi Metallo-β-lactamase, NDM-20, in Escherichia coli. Frontiers in Microbiology. 9. 248–248. 51 indexed citations
18.
19.
Zhu, Xiaoqing, Xiaoming Wang, Hui Li, et al.. (2016). Novellnu(G) gene conferring resistance to lincomycin by nucleotidylation, located on Tn6260fromEnterococcus faecalisE531. Journal of Antimicrobial Chemotherapy. 72(4). dkw549–dkw549. 20 indexed citations
20.
Romano, Márta, Olivier Denis, Sushila D’Souza, et al.. (2004). Induction of In Vivo Functional Db-Restricted Cytolytic T Cell Activity against a Putative Phosphate Transport Receptor of Mycobacterium tuberculosis. The Journal of Immunology. 172(11). 6913–6921. 32 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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