Chang Ming

29 papers receiving 641 citations

Peers

Chang Ming
Comparison fields: 5 of 99
  • Health Informatics 14
  • Endocrinology, Diabetes and Metabolism 123
  • Neurology 94
  • Oncology 151
  • Cellular and Molecular Neuroscience 72
Replace Daniela Pedicino with:
Daniela Pedicino Italy
Shiqi Wang China
Nikolaos Fragakis Greece
Wilfried Dinh Germany
Qianrui Li China
Daniele Masarone Italy
Romain Eschalier France
Anjali Owens United States
Xiao‐Qing Quan China
Priyanka Bhattacharya United States
Chang Ming relative to Daniela Pedicino Italy Daniela Pedicino's profile →
Citations per field
00.5×5.9×
Daniela Pedicino · 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 2016183
2
Chorea-ballismus with nonketotic hyperglycemia in primary diabetes mellitus.
1996124
3 201974
4 201544
5 201634
6 202030
7 201023
8 201722
9 201716
10 202215
11 201413
12 202311
13 201811
14 202210
15 20209
16 20217
17 19947
18 20205
19 20234
20 20144

About Chang Ming

Chang Ming is a scholar working on Molecular Biology, Oncology, Genetics, Nephrology and Pathology and Forensic Medicine, having authored 31 papers that have together received 667 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (4 papers), Global Cancer Incidence and Screening (3 papers), Optical Systems and Laser Technology (2 papers), Cancer Genomics and Diagnostics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Dialysis and Renal Disease Management (2 papers), Genetic factors in colorectal cancer (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Health Informatics (14 citations), Endocrinology, Diabetes and Metabolism (123 citations), Neurology (94 citations), Oncology (151 citations) and Cellular and Molecular Neuroscience (72 citations). Chang Ming has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Miriam Rottmann, C. Benedikt Westphalen, Jutta Engel, Stefan Boeck, Konstantin Strauch, Anne S. Quante, Volker Heinemann, Maria C. Katapodi, Pierre O. Chappuis and Ivo D. Dinov. Their work appears in journals such as Cancers, Frontiers in Nutrition, Clinical Neurophysiology, Psychology Research and Behavior Management and Breast Cancer Research and Treatment.

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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