Chang Ming

1.2k total citations
31 papers, 655 citations indexed

About

Chang Ming is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Chang Ming has authored 31 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Chang Ming's work include BRCA gene mutations in cancer (7 papers), Global Cancer Incidence and Screening (5 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Chang Ming is often cited by papers focused on BRCA gene mutations in cancer (7 papers), Global Cancer Incidence and Screening (5 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Chang Ming collaborates with scholars based in Switzerland, United States and China. Chang Ming's co-authors include Jutta Engel, Miriam Rottmann, Konstantin Strauch, C. Benedikt Westphalen, Anne S. Quante, Stefan Boeck, Volker Heinemann, Maria C. Katapodi, Pierre O. Chappuis and Valeria Viassolo and has published in prestigious journals such as Scientific Reports, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Chang Ming

29 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang Ming Switzerland 12 198 126 115 109 88 31 655
Pavlos Vassilakos Greece 19 87 0.4× 98 0.8× 95 0.8× 77 0.7× 33 0.4× 48 774
Suna Barlas United States 10 164 0.8× 35 0.3× 64 0.6× 205 1.9× 19 0.2× 13 845
Sicong Wang China 18 198 1.0× 26 0.2× 39 0.3× 171 1.6× 36 0.4× 84 1.1k
Tsuyoshi Suzuki Japan 18 81 0.4× 149 1.2× 187 1.6× 216 2.0× 15 0.2× 73 1.2k
Han Na Lee South Korea 16 65 0.3× 76 0.6× 75 0.7× 103 0.9× 9 0.1× 50 675
Nilüfer Bayraktar Türkiye 16 83 0.4× 87 0.7× 36 0.3× 192 1.8× 9 0.1× 70 857
Dedra H. Fagan United States 16 139 0.7× 149 1.2× 85 0.7× 291 2.7× 21 0.2× 37 1.4k
Evangelos Efthimiou United Kingdom 17 146 0.7× 189 1.5× 48 0.4× 121 1.1× 9 0.1× 39 1.1k
Gavitt A. Woodard United States 16 199 1.0× 53 0.4× 41 0.4× 272 2.5× 22 0.3× 57 1.2k

Countries citing papers authored by Chang Ming

Since Specialization
Citations

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

Fields of papers citing papers by Chang Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Ming

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Ming. A scholar is included among the top collaborators of Chang Ming 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 Chang Ming. Chang Ming 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.
Ming, Chang, et al.. (2024). Neurocognitive Remediation Therapy: A Promising Approach to Enhance Cognition in Community Living Pilots with Depression and Anxiety. Psychology Research and Behavior Management. Volume 17. 2919–2939.
2.
Lestari, Lily Arsanti, et al.. (2023). Prevalence and Risk Factors of Functional Gastrointestinal Disorders in Infants in Indonesia. Pediatric Gastroenterology Hepatology & Nutrition. 26(1). 58–58. 1 indexed citations
3.
Ming, Chang, Jean‐Damien Combes, Alex Friedlaender, et al.. (2023). Chemotherapy-related agranulocytosis as a predictive factor for germline BRCA1 pathogenic variants in breast cancer patients: a retrospective cohort study. Swiss Medical Weekly. 153(3). 40055–40055. 1 indexed citations
4.
5.
6.
Ming, Chang, Günther Fink, Nicole Bürki, et al.. (2022). Relatives from Hereditary Breast and Ovarian Cancer and Lynch Syndrome Families Forgoing Genetic Testing: Findings from the Swiss CASCADE Cohort. Journal of Personalized Medicine. 12(10). 1740–1740. 9 indexed citations
7.
Köhler, Carmen, Chang Ming, Marcus Vetter, et al.. (2020). Changes in Attentional Function in Patients From Before Through 12 Months After Breast Cancer Surgery. Journal of Pain and Symptom Management. 59(6). 1172–1185. 9 indexed citations
8.
Katapodi, Maria C., Chang Ming, Laurel Northouse, et al.. (2020). Genetic Testing and Surveillance of Young Breast Cancer Survivors and Blood Relatives: A Cluster Randomized Trial. Cancers. 12(9). 2526–2526. 4 indexed citations
9.
Ming, Chang, Valeria Viassolo, Nicole Probst‐Hensch, et al.. (2020). Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations. British Journal of Cancer. 123(5). 860–867. 30 indexed citations
10.
Zhang, Xiangming, Zhongqiang Wang, Chang Ming, et al.. (2019). Research on a 30 times ratio continuous zoom television optical system adjustment technology. Guangdian gongcheng. 46(4). 180462. 1 indexed citations
11.
Ming, Chang, Valeria Viassolo, Nicole Probst‐Hensch, et al.. (2019). Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models. Breast Cancer Research. 21(1). 75–75. 73 indexed citations
12.
Liu, Shuxin, Lichao Wang, Chunxiu Hu, et al.. (2017). Plasma metabolomics profiling of maintenance hemodialysis based on capillary electrophoresis - time of flight mass spectrometry. Scientific Reports. 7(1). 8150–8150. 16 indexed citations
13.
Ming, Chang, et al.. (2016). 二甲基硅油 C-Si 伸缩振动模式红外光谱研究. 30(4). 2 indexed citations
14.
15.
Hossain, Murshed, Timo Schirmer, Theresa Richardson, et al.. (2012). Effect of Gold Marker Seeds on Magnetic Resonance Spectroscopy of the Prostate. International Journal of Radiation Oncology*Biology*Physics. 83(1). 451–458. 3 indexed citations
16.
Ming, Chang. (2011). A Uncertainty-based Expert Comprehensive Evaluation Method in Group Decision-Making. Fire Control and Command Control. 1 indexed citations
17.
Deng, Dan, et al.. (2010). Ultrasonographic Applications After Mass Casualty Incident Caused by Wenchuan Earthquake. The Journal of Trauma: Injury, Infection, and Critical Care. 68(6). 1417–1420. 23 indexed citations
18.
Ming, Chang, et al.. (2005). Expression of Bcl-2 on the oxidative stress of renal tubular cells treated by NaF. Chin J Endemiol. 24(1). 17–20. 3 indexed citations
19.
Ming, Chang, et al.. (2002). Does direct measurement of forearm mixed nerve conduction velocity reflect actual nerve conduction velocity through the carpal tunnel?. Clinical Neurophysiology. 113(8). 1236–1240. 4 indexed citations
20.
Ming, Chang, et al.. (1994). Analysis of the eccentric cylindrical thin shell. Applied Mathematics and Mechanics. 15(9). 887–895. 7 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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