Min Cao

903 citations
36 papers · 672 · h-index 11

Impact in

Papers in

    • Chronic Obstructive Pulmonary Disease (COPD) Research 9
    • Lung Cancer Diagnosis and Treatment 3
    • Pleural and Pulmonary Diseases 2
    • Cancer Immunotherapy and Biomarkers 2

Min Cao

35 papers receiving 658 citations

Peers

Min Cao
Comparison fields: 5 of 87
  • Physiology 178
  • Epidemiology 236
  • Biological Psychiatry 16
  • Molecular Biology 334
  • Endocrinology, Diabetes and Metabolism 65
Replace Debora Collotta with:
Debora Collotta Italy
Jason Behary Australia
Chia‐Yuan Liu Taiwan
Qi He China
Zuyi Yuan China
Jin Shang China
Zibin Tian China
Monia Baldoni Italy
Daphne Dekker Netherlands
Min Cao relative to Debora Collotta Italy Debora Collotta's profile →
Citations per field
00.5×1.5×2.4×
Debora Collotta · 1×
Citations per year

Countries citing papers authored by Min Cao

Since Specialization
Citations

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

Fields of papers citing papers by Min Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016308
2 2011114
3 202251
4 202018
5 202318
6 202015
7 201715
8 202014
9 201711
10 202111
11 200911
12 20239
13 20217
14 20236
15 20136
16 20216
17 20205
18 20245
19 20245
20 20225

About Min Cao

Min Cao is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Complementary and alternative medicine, Physiology and Molecular Biology, having authored 36 papers that have together received 672 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Cardiovascular and exercise physiology (5 papers), Asthma and respiratory diseases (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Pleural and Pulmonary Diseases (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Physiology (178 citations), Epidemiology (236 citations), Biological Psychiatry (16 citations), Molecular Biology (334 citations) and Endocrinology, Diabetes and Metabolism (65 citations). Min Cao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu Chen, Baohong Wang, Qiongling Bao, Lingling Tang, Jianping Ge, Lanjuan Li, Qiqi Mao, Liping Xie, Ben Liu and Yuming Wang. Their work appears in journals such as Journal of Applied Physiology, Scientific Reports, Clinical Breast Cancer, Frontiers in Immunology and Cell Reports.

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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