Xiaopeng Ai

1.6k citations
25 papers · 1.2k · 1 hit paper · h-index 15

Impact in

Papers in

Xiaopeng Ai

23 papers receiving 1.2k citations

Xiaopeng Ai's Hit Papers

Gallic acid: Pharmacological activities and molecular mechanisms involved in inflammation-related diseases 2020 · 510 citations
5100+2+4Years since publication100200300400500

Peers

Xiaopeng Ai
Comparison fields: 5 of 118
  • Applied Microbiology and Biotechnology 36
  • Biochemistry 95
  • Pharmacology 111
  • Complementary and alternative medicine 90
  • Pharmacology 140
Replace Ya Hou with:
Ya Hou China
Jinrong Bai China
Hye‐Young Shin South Korea
Jeongmin Lee South Korea
Srinivasan Periasamy Taiwan
Walaa A. Negm Egypt
Xiaorui Chen China
Syed Kazim Hasan India
Hee Soon Shin South Korea
Xiaopeng Ai relative to Ya Hou China Ya Hou's profile →
Citations per field
00.5×1.5×
Ya Hou · 1×
Citations per year

Countries citing papers authored by Xiaopeng Ai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaopeng Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gallic acid: Pharmacological activities and molecular mechanisms involved in inflammation-related diseases
Hit paper breakdown →
2020510
2 2021126
3 201981
4 202365
5 202053
6 202449
7 202047
8 202045
9 202243
10 201941
11 202426
12 201822
13 202022
14 201921
15 202415
16 202113
17 20218
18 20258
19 20187
20 20257

About Xiaopeng Ai

Xiaopeng Ai is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Plant Science and Infectious Diseases, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (3 papers), Berberine and alkaloids research (3 papers), High Altitude and Hypoxia (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Gastrointestinal motility and disorders (2 papers), Gut microbiota and health (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (36 citations), Biochemistry (95 citations), Pharmacology (111 citations), Complementary and alternative medicine (90 citations) and Pharmacology (140 citations). Xiaopeng Ai has collaborated with scholars based in China and South Korea. Frequent co-authors include Xianli Meng, Ya Hou, Xiaobo Wang, Xiaorui Chen, Jinrong Bai, Ce Tang, Yi Zhang, Yunsen Zhang, Peiling Yu and Xianrong Lai. Their work appears in journals such as Journal of Ethnopharmacology, International Journal of Biological Macromolecules, Biomedicine & Pharmacotherapy, Scientific Reports and Reviews in the Neurosciences.

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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