Xiaoting Hua

3.7k citations
138 papers · 2.6k indexed · h-index 31

Impact in

Papers in

Xiaoting Hua

133 papers receiving 2.5k citations

Peers

Xiaoting Hua
Comparison fields: 5 of 117
  • Molecular Medicine 1.7k
  • Endocrinology 709
  • Applied Microbiology and Biotechnology 164
  • Pollution 397
  • Clinical Biochemistry 191
Replace Ruobing Wang with:
Ruobing Wang China
Katy Jeannot France
Marco Maria D’Andrea Italy
Ignasi Roca Spain
Tse Hsien Koh Singapore
Jesús Silva-Sánchez Mexico
Xiaogang Xu China
Alexey Ruzin United States
Eun-Jeong Yoon South Korea
Paula Espinal Spain
Xiaoting Hua relative to Ruobing Wang China Ruobing Wang's profile →
Citations per field
00.5×1.5×
Ruobing Wang · 1×
Citations per year

Countries citing papers authored by Xiaoting Hua

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoting Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoting Hua, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoting Hua Line = papers co-authored together Xiaoting Hua links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202093
2 202184
3 201583
4 202178
5 202071
6 201967
7 202160
8 201855
9 201854
10 202253
11 202152
12 201849
13 202048
14 201646
15 201646
16 201545
17 201445
18 202242
19 202038
20 202137

About Xiaoting Hua

Xiaoting Hua is a scholar working on Molecular Medicine, Molecular Biology, Endocrinology, Ecology and Pharmacology, having authored 138 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (100 papers), Bacterial biofilms and quorum sensing (31 papers), Bacteriophages and microbial interactions (30 papers), Vibrio bacteria research studies (25 papers), Antibiotics Pharmacokinetics and Efficacy (23 papers), Pharmaceutical and Antibiotic Environmental Impacts (19 papers), Bacterial Genetics and Biotechnology (18 papers) and Genomics and Phylogenetic Studies (13 papers). The work is most often cited by research in Molecular Medicine (1.7k citations), Endocrinology (709 citations), Applied Microbiology and Biotechnology (164 citations), Pollution (397 citations) and Clinical Biochemistry (191 citations). Xiaoting Hua has collaborated with scholars based in China, United Kingdom and India. Frequent co-authors include Yunsong Yu, Sebastián Leptihn, Yan Jiang, Belinda Loh, Zhi Ruan, Qingye Xu, Jintao He, Ying Fu, Prasanth Manohar and Zhihui Zhou. Their work appears in journals such as Frontiers in Microbiology, Microbiology Spectrum, Antimicrobial Agents and Chemotherapy, Emerging Microbes & Infections and Journal of Antimicrobial Chemotherapy.

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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