Mi Zhou

1.3k citations
64 papers · 900 · 1 hit paper · h-index 18

Impact in

    • Artificial Intelligence in Healthcare and Education
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Mi Zhou

56 papers receiving 888 citations

Mi Zhou's Hit Papers

Evaluating AI-generated patient education materials for spinal surgeries: Comparative analysis of readability and DISCERN quality across ChatGPT and deepseek models 2025 · 65 citations
650Years since publication204060

Peers

Mi Zhou
Comparison fields: 5 of 100
  • Health Informatics 35
  • Cancer Research 219
  • Oncology 120
  • Pulmonary and Respiratory Medicine 142
  • Molecular Biology 291
Replace Stefan Uranitsch with:
Stefan Uranitsch Austria
Yang Guo China
Alexey Shiryaev Norway
Bhuvan Molparia United States
Izabela Łaczmańska Poland
Thomas R. Hickernell United States
Rebecca T. Levinson United States
Eun-Kyung Suk Germany
Mi Zhou relative to Stefan Uranitsch Austria Stefan Uranitsch's profile →
Citations per field
00.5×2×4×6×7×
Stefan Uranitsch · 1×
Citations per year

Countries citing papers authored by Mi Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Mi Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201569
2 201467
3
Evaluating AI-generated patient education materials for spinal surgeries: Comparative analysis of readability and DISCERN quality across ChatGPT and deepseek models
Hit paper breakdown →
202565
4 201959
5 201656
6 201550
7 201546
8 201636
9 201930
10 201326
11 201625
12 201925
13 201725
14 201023
15 201923
16 202021
17 201721
18 201821
19 201717
20 202116

About Mi Zhou

Mi Zhou is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Oncology, Surgery and Neurology, having authored 64 papers that have together received 900 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Vestibular and auditory disorders (3 papers), Pancreatitis Pathology and Treatment (3 papers), RNA Research and Splicing (3 papers), Ferroptosis and cancer prognosis (3 papers), Kidney Stones and Urolithiasis Treatments (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Health Informatics (35 citations), Cancer Research (219 citations), Oncology (120 citations), Pulmonary and Respiratory Medicine (142 citations) and Molecular Biology (291 citations). Mi Zhou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xin Zhu, Daixing Hu, Xin Gou, Yuye Zhang, Yunfeng Pan, Jinjing He, Lin Qi, Dahong Zhang, Alin Ji and Shuai Wang. Their work appears in journals such as Medicine, Frontiers in Neurology, BioMed Research International, BMC Urology and Frontiers in Oncology.

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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