Min Ai

790 citations
53 papers · 566 · h-index 13

Impact in

  • Biophysics top 5%
    • Spectroscopy Techniques in Biomedical and Chemical Research
    • Wound Healing and Treatments

Papers in

Min Ai

46 papers receiving 559 citations

Peers

Min Ai
Comparison fields: 5 of 113
  • Biophysics 78
  • Rehabilitation 43
  • Immunology and Allergy 35
  • Analytical Chemistry 44
  • Oncology 75
Replace Xiang Shen with:
Xiang Shen China
Seyed Rouhollah Miri Iran
Mary J. Schiedt United States
Xianyang Luo China
Jun Rao China
Yen-Chang Hsiao Taiwan
Ilaria Rossi Italy
Yunbo Wei China
Francis H. Kruszewski United States
JT Curnutte United States
Min Ai relative to Xiang Shen China Xiang Shen's profile →
Citations per field
00.5×5.8×
Xiang Shen · 1×
Citations per year

Countries citing papers authored by Min Ai

Since Specialization
Citations

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

Fields of papers citing papers by Min Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200885
2 201751
3 202048
4 201935
5 201934
6 201931
7 201230
8 201621
9 200720
10 202118
11 202216
12 201614
13 202012
14 202112
15 202212
16 202010
17 20249
18 20199
19 20198
20 20217

About Min Ai

Min Ai is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Oncology, Epidemiology and Plant Science, having authored 53 papers that have together received 566 indexed citations. Recurring topics across this work include Lichen and fungal ecology (5 papers), Mycorrhizal Fungi and Plant Interactions (5 papers), Ubiquitin and proteasome pathways (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Wound Healing and Treatments (3 papers), Protein Degradation and Inhibitors (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Biophysics (78 citations), Rehabilitation (43 citations), Immunology and Allergy (35 citations), Analytical Chemistry (44 citations) and Oncology (75 citations). Min Ai has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Lulu Ni, Bao Hou, Guiwen Wang, Huilu Yao, Lixin Peng, Yong-qing Li, Jiangnan Sun, Yuetao Zhou, Liying Qiu and Weiwei Cai. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, PLoS ONE, Journal of Hepatology and International Journal of Molecular Sciences.

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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