Chang Ming

29 papers receiving 629 citations

Peers

Chang Ming
Comparison fields: 5 of 109
  • Health Informatics 18
  • Endocrinology, Diabetes and Metabolism 126
  • Neurology 115
  • Oncology 198
  • Cancer Research 76
Replace Fady Hannah‐Shmouni with:
Fady Hannah‐Shmouni United States
Nilüfer Bayraktar Türkiye
Sicong Wang China
Daniela Pedicino Italy
Vincenzo De Marco Italy
Weiguang Zhang China
Tsuyoshi Suzuki Japan
Xueyan Zhao China
Hyun Jeong Jeon South Korea
Han Na Lee South Korea
Chang Ming relative to Fady Hannah‐Shmouni United States Fady Hannah‐Shmouni's profile →
Citations per field
00.5×1.5×
Fady Hannah‐Shmouni · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016178
2
Chorea-ballismus with nonketotic hyperglycemia in primary diabetes mellitus.
1996123
3 201973
4 201544
5 201634
6 202030
7 201023
8 201722
9 201716
10 202214
11 201413
12 201811
13 202310
14 20209
15 20229
16 19947
17 20217
18 20144
19 20204
20 20024

About Chang Ming

Chang Ming is a scholar working on Oncology, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 655 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (7 papers), Global Cancer Incidence and Screening (5 papers), Genetic factors in colorectal cancer (2 papers), Cancer Genomics and Diagnostics (2 papers), Pain Mechanisms and Treatments (2 papers), DNA Repair Mechanisms (2 papers), PARP inhibition in cancer therapy (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Health Informatics (18 citations), Endocrinology, Diabetes and Metabolism (126 citations), Neurology (115 citations), Oncology (198 citations) and Cancer Research (76 citations). Chang Ming has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Jutta Engel, Stefan Boeck, Miriam Rottmann, Konstantin Strauch, C. Benedikt Westphalen, Anne S. Quante, Volker Heinemann, Maria C. Katapodi, Pierre O. Chappuis and Ivo D. Dinov. Their work appears in journals such as Cancers, Scientific Reports, Clinical Neurophysiology, Familial Cancer and Journal of Proteome Research.

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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