Chao Ma

2.3k total citations
120 papers, 1.3k citations indexed

About

Chao Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Surgery. According to data from OpenAlex, Chao Ma has authored 120 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Oncology and 15 papers in Surgery. Recurrent topics in Chao Ma's work include Radiomics and Machine Learning in Medical Imaging (29 papers), Pancreatic and Hepatic Oncology Research (25 papers) and MRI in cancer diagnosis (24 papers). Chao Ma is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (29 papers), Pancreatic and Hepatic Oncology Research (25 papers) and MRI in cancer diagnosis (24 papers). Chao Ma collaborates with scholars based in China, United States and Germany. Chao Ma's co-authors include Jianping Lu, Yun Bian, Shiyue Chen, Yufei Chen, Hui Jiang, Xu Fang, Xiaodong Yue, Panpan Yang, Gang Jin and Kai Cao and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Chao Ma

110 papers receiving 1.3k citations

Peers

Chao Ma
Comparison fields: 5 of 129
  • Radiology, Nuclear Medicine and Imaging 552
  • Oncology 369
  • Molecular Biology 205
  • Epidemiology 182
  • Pulmonary and Respiratory Medicine 173
Replace Zhan Feng with:
Zhan Feng China
Álvaro Ruibal Spain
Jacob New United States
Seung Hwan Moon South Korea
Saadettin Sel Germany
Shuai Liu China
Jia Ke China
Michael Yu United States
Hui Zhu China
Yuan Guo China
Zhan Feng China View profile →
Citations per field, relative to Chao Ma
Chao Ma · 1×
Citations per year, relative to Chao Ma
Chao Ma · 1×

Countries citing papers authored by Chao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Ma. A scholar is included among the top collaborators of Chao Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chao Ma. Chao Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 5
3 0
4 1
5 1
6 5
7 5
8 0
9 7
10 6
11 3
12 2
13 6
14
Protective Effects of Dexmedetomidine on Sepsis-Induced Vascular Leakage by Alleviating Ferroptosis via Regulating Metabolic Reprogramming
1
15 7
16 4
17
[Pathogenic and clinical presentation of bullous rash in hand, foot and mouth disease].
1
18 13
19
Study on Unary Volume Model of Larix principis-rupprechtii Artificial Forest in the Middle and Upper Reaches of Bailong River
1
20
[Preliminary investigation of liver alveolar echinococcosis and liver cystic, echinococcosis in Xiji County, Ningxia].
8

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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