Mi Zhou

1.2k citations
61 papers · 799 · 1 hit paper · h-index 18

Impact in

Papers in

Mi Zhou

49 papers receiving 788 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 · 29 citations
290Years since publication510152025

Peers

Mi Zhou
Comparison fields: 5 of 100
  • Cancer Research 263
  • Health Informatics 13
  • Oncology 151
  • Pulmonary and Respiratory Medicine 169
  • Molecular Biology 354
Replace Katherine Howell with:
Katherine Howell Ireland
Yusuke Nakayama Japan
Yang Guo China
Giuseppe Biscaglia Italy
Wenhua Xiao China
Michael Risk United States
Chaoyu Wang China
Paramee Thongsuksai Thailand
Mi Zhou relative to Katherine Howell Ireland Katherine Howell's profile →
Citations per field
00.5×2.9×
Katherine Howell · 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 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201569
2 201461
3 201952
4 201652
5 201549
6 201539
7 201636
8 201929
9
Evaluating AI-generated patient education materials for spinal surgeries: Comparative analysis of readability and DISCERN quality across ChatGPT and deepseek models
Hit paper breakdown →
202529
10 201325
11 201724
12 201924
13 201624
14 201923
15 201022
16 201722
17 202019
18 201818
19 201717
20 201116

About Mi Zhou

Mi Zhou is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Cancer Research and Oncology, having authored 61 papers that have together received 799 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (7 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Epigenetics and DNA Methylation (4 papers), Pancreatitis Pathology and Treatment (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (263 citations), Health Informatics (13 citations), Oncology (151 citations), Pulmonary and Respiratory Medicine (169 citations) and Molecular Biology (354 citations). Mi Zhou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xin Zhu, Daixing Hu, Xin Gou, Jinjing He, Lin Qi, Dahong Zhang, Shuai Wang, Alin Ji, Chao Sun and Chengyong Tang. Their work appears in journals such as Medicine, Journal of Thoracic Oncology, BMC Urology, Oncotarget and Frontiers in Neurology.

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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