Xiaohui Chi

38 papers receiving 531 citations

Peers

Xiaohui Chi
Comparison fields: 5 of 81
  • Molecular Medicine 276
  • Applied Microbiology and Biotechnology 36
  • Endocrinology 88
  • Developmental Neuroscience 51
  • Critical Care and Intensive Care Medicine 57
Replace Luca Gregorio Giaccari with:
Luca Gregorio Giaccari Italy
Amany El-Sharif Egypt
Maria Maniati Greece
Horst Beier Germany
Yukun He China
Gülay Yetkin Türkiye
Chunyan Qian China
Paulo Bastos Portugal
Khalida Perveen Australia
Elizabeth A. Lakota United States
Xiaohui Chi relative to Luca Gregorio Giaccari Italy Luca Gregorio Giaccari's profile →
Citations per field
00.5×10×12.8×
Luca Gregorio Giaccari · 1×
Citations per year

Countries citing papers authored by Xiaohui Chi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaohui Chi, 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 Xiaohui Chi Line = papers co-authored together Xiaohui Chi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 201533
3 201931
4 202328
5 201927
6 202025
7 201925
8 202224
9 202219
10 201718
11 201917
12 201917
13 202116
14 202216
15 201916
16 201916
17 202116
18 201915
19 202112
20 202410

About Xiaohui Chi

Xiaohui Chi is a scholar working on Molecular Medicine, Pharmacology, Pollution, Endocrinology and Critical Care and Intensive Care Medicine, having authored 40 papers that have together received 534 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (24 papers), Antibiotics Pharmacokinetics and Efficacy (11 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Intensive Care Unit Cognitive Disorders (4 papers), Anesthesia and Neurotoxicity Research (4 papers), Escherichia coli research studies (4 papers), Anesthesia and Sedative Agents (4 papers) and Vibrio bacteria research studies (4 papers). The work is most often cited by research in Molecular Medicine (276 citations), Applied Microbiology and Biotechnology (36 citations), Endocrinology (88 citations), Developmental Neuroscience (51 citations) and Critical Care and Intensive Care Medicine (57 citations). Xiaohui Chi has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Beiwen Zheng, Ailin Luo, Yonghong Xiao, Yanzi Zhou, Yilin Zhao, Hao Xu, Shiyong Li, Xuewen Li, Huiyun Zou and Ming‐Feng Liao. Their work appears in journals such as Infection and Drug Resistance, Frontiers in Microbiology, Environmental Pollution, Microbiological Research and Microbes and Infection.

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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