Kai Ma

2.1k citations
153 papers · 1.1k · h-index 17

Impact in

Papers in

    • Cholangiocarcinoma and Gallbladder Cancer Studies 4
    • Esophageal Cancer Research and Treatment 4
    • Ferroptosis and cancer prognosis 5
    • Pulmonary Hypertension Research and Treatments 4
    • Lung Cancer Diagnosis and Treatment 4

Kai Ma

133 papers receiving 1.1k citations

Peers

Kai Ma
Comparison fields: 5 of 127
  • Pulmonary and Respiratory Medicine 253
  • Epidemiology 192
  • Ophthalmology 38
  • Surgery 186
  • Cancer Research 60
Replace Cheng Li with:
Cheng Li China
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Jie Zhong China
Anh Bui Australia
Keisuke Oe Japan
Zhengdong Li China
Hao Ding China
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Kai Ma relative to Cheng Li China Cheng Li's profile →
Citations per field
00.5×1.5×1.9×
Cheng Li · 1×
Citations per year

Countries citing papers authored by Kai Ma

Since Specialization
Citations

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

Fields of papers citing papers by Kai Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201677
2 201356
3
Polymorphisms in the vascular endothelial growth factor gene and the risk of diabetic retinopathy in Chinese patients with type 2 diabetes.
201139
4 202236
5 202436
6 201533
7 200832
8 201930
9 201628
10 201926
11 201324
12 201624
13 202422
14 201421
15 201819
16 201417
17 201816
18
The decreased expression of miR-625 predicts poor prognosis of esophageal squamous cell carcinoma.
201516
19 201115
20 201415

About Kai Ma

Kai Ma is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Epidemiology, Mechanical Engineering and Molecular Biology, having authored 153 papers that have together received 1.1k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (18 papers), Rock Mechanics and Modeling (6 papers), Ferroptosis and cancer prognosis (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Landslides and related hazards (4 papers), Pulmonary Hypertension Research and Treatments (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Esophageal Cancer Research and Treatment (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (253 citations), Epidemiology (192 citations), Ophthalmology (38 citations), Surgery (186 citations) and Cancer Research (60 citations). Kai Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Baoping Cao, Zhongdong Hua, Shoujun Li, Qiuming Chen, Keming Yang, Hao Zhang, Xinhua Cheng, Bing Han, Sen Zhang and Shengshou Hu. Their work appears in journals such as The Annals of Thoracic Surgery, BMC Public Health, European Journal of Cardio-Thoracic Surgery, Medicine and Journal of Thoracic and Cardiovascular Surgery.

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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