Chaochao Ma

783 total citations
50 papers, 515 citations indexed

About

Chaochao Ma is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology. According to data from OpenAlex, Chaochao Ma has authored 50 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Physiology and 10 papers in Molecular Biology. Recurrent topics in Chaochao Ma's work include Thyroid Disorders and Treatments (11 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and Clinical Laboratory Practices and Quality Control (6 papers). Chaochao Ma is often cited by papers focused on Thyroid Disorders and Treatments (11 papers), Thyroid Cancer Diagnosis and Treatment (8 papers) and Clinical Laboratory Practices and Quality Control (6 papers). Chaochao Ma collaborates with scholars based in China, United States and Finland. Chaochao Ma's co-authors include Ling Qiu, Xinqi Cheng, Danchen Wang, Yicong Yin, Liangyu Xia, Yutong Zou, Songlin Yu, Jie Wu, Yingying Hu and Xiuzhi Guo and has published in prestigious journals such as Advanced Functional Materials, Analytical Chemistry and ACS Applied Materials & Interfaces.

In The Last Decade

Chaochao Ma

46 papers receiving 508 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chaochao Ma China 15 182 94 90 90 68 50 515
Xiuzhi Guo China 15 134 0.7× 89 0.9× 76 0.8× 47 0.5× 50 0.7× 39 502
Zhenmei An China 14 251 1.4× 66 0.7× 109 1.2× 108 1.2× 7 0.1× 47 490
Yuping Zeng China 10 109 0.6× 33 0.4× 45 0.5× 34 0.4× 7 0.1× 35 285
Lina Kang China 15 138 0.8× 51 0.5× 97 1.1× 294 3.3× 6 0.1× 43 759
Alan McNeil Australia 10 186 1.0× 34 0.4× 63 0.7× 170 1.9× 6 0.1× 23 500
Lena Norlund Sweden 10 55 0.3× 66 0.7× 63 0.7× 197 2.2× 13 0.2× 23 620
Qin Yang Germany 23 220 1.2× 34 0.4× 385 4.3× 815 9.1× 22 0.3× 47 1.4k
Qingmiao Shao China 12 148 0.8× 33 0.4× 153 1.7× 92 1.0× 15 0.2× 18 601
Michelle Jankowski United States 16 119 0.7× 81 0.9× 195 2.2× 128 1.4× 3 0.0× 35 832

Countries citing papers authored by Chaochao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Chaochao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaochao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Chaochao Ma. A scholar is included among the top collaborators of Chaochao 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 Chaochao Ma. Chaochao 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
1.
2.
Ma, Chaochao & Ling Qiu. (2025). Unveiling the power of R: a comprehensive perspective for laboratory medicine data analysis. Clinical Chemistry and Laboratory Medicine (CCLM). 63(8). 1458–1471.
3.
Li, Chengming, Yang Yang, Chaochao Ma, et al.. (2025). A Surface-Enhanced Raman Spectroscopy Platform Integrating Dual Signal Enhancement and Machine Learning for Rapid Detection of Veterinary Drug Residues in Meat Products. ACS Applied Materials & Interfaces. 17(10). 16202–16212. 2 indexed citations
4.
5.
Zou, Yutong, Yifei Wang, Xiaoli Ma, et al.. (2024). CSF and blood glial fibrillary acidic protein for the diagnosis of Alzheimer's disease: A systematic review and meta-analysis. Ageing Research Reviews. 101. 102485–102485. 5 indexed citations
6.
Zhong, Jian, Danchen Wang, Shaowei Xie, et al.. (2024). Pre-analytical stability and physiological fluctuations affect plasma steroid hormone outcomes: A real-world study. The Journal of Steroid Biochemistry and Molecular Biology. 244. 106596–106596. 1 indexed citations
7.
8.
Ma, Chaochao, Yu Zheng, & Ling Qiu. (2023). Development of next-generation reference interval models to establish reference intervals based on medical data: current status, algorithms and future consideration. Critical Reviews in Clinical Laboratory Sciences. 61(4). 298–316. 9 indexed citations
9.
Zou, Yutong, Lei Li, Chaochao Ma, et al.. (2023). Research trends and hotspots of glial fibrillary acidic protein within the area of Alzheimer’s disease: a bibliometric analysis. Frontiers in Aging Neuroscience. 15. 1196272–1196272. 4 indexed citations
10.
Ma, Chaochao, et al.. (2022). Copeptin in fluid disorders and stress. Clinica Chimica Acta. 529. 46–60. 18 indexed citations
11.
Cheng, Xinqi, Shicheng Li, Lizong Deng, et al.. (2022). Predicting Elevated TSH Levels in the Physical Examination Population With a Machine Learning Model. Frontiers in Endocrinology. 13. 839829–839829. 5 indexed citations
12.
Ma, Chaochao, Li’an Hou, Yutong Zou, et al.. (2022). An innovative approach based on real-world big data mining for calculating the sample size of the reference interval established using transformed parametric and non-parametric methods. BMC Medical Research Methodology. 22(1). 275–275. 4 indexed citations
13.
Ma, Chaochao, et al.. (2021). The effect of high-speed train meet on wheel wear at different speeds. Industrial Lubrication and Tribology. 73(7). 1019–1027. 3 indexed citations
14.
15.
Zou, Yutong, Danchen Wang, Xinqi Cheng, et al.. (2020). Reference Intervals for Thyroid-Associated Hormones and the Prevalence of Thyroid Diseases in the Chinese Population. Annals of Laboratory Medicine. 41(1). 77–85. 26 indexed citations
16.
Hou, Li’an, et al.. (2020). Analytical evaluation of three soluble transferrin receptor measurement systems for diagnosis of iron deficiency anemia: A retrospective study. Journal of Clinical Laboratory Analysis. 34(8). e23342–e23342. 3 indexed citations
17.
Ma, Chaochao, et al.. (2020). Real-world big-data studies in laboratory medicine: Current status, application, and future considerations. Clinical Biochemistry. 84. 21–30. 41 indexed citations
18.
19.
Yu, Songlin, Danchen Wang, Xinqi Cheng, et al.. (2019). Establishing reference intervals for urine and serum iodine levels: A nationwide multicenter study of a euthyroid Chinese population. Clinica Chimica Acta. 502. 34–40. 20 indexed citations
20.
Ma, Chaochao, et al.. (2018). Comparative analysis of biochemical test results between arterial and venous blood. Zhonghua jianyan yixue zazhi. 41(10). 759–764. 1 indexed citations

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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