Kunming Cheng

20 papers receiving 624 citations

Kunming Cheng's Hit Papers

Mapping Knowledge Structure and Themes Trends of Osteoporosis in Rheumatoid Arthritis: A Bibliometric Analysis 2021 · 155 citations
1550+1+3Years since publication50100150

Peers

Kunming Cheng
Comparison fields: 5 of 122
  • Health Informatics 44
  • Biochemistry 20
  • Periodontics 9
  • Molecular Biology 126
  • Orthopedics and Sports Medicine 14
Replace Merva Soluk Tekkeşin with:
Merva Soluk Tekkeşin Türkiye
Zahra Mansouri Iran
Arnav Gupta United States
Sangmi Lee South Korea
Kaiyang Lv China
Minghui Li China
Elena Cojocaru Romania
Yixuan Chen China
Yuxin Wang China
Kunming Cheng relative to Merva Soluk Tekkeşin Türkiye Merva Soluk Tekkeşin's profile →
Citations per field
00.5×3.7×
Merva Soluk Tekkeşin · 1×
Citations per year

Countries citing papers authored by Kunming Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Kunming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mapping Knowledge Structure and Themes Trends of Osteoporosis in Rheumatoid Arthritis: A Bibliometric Analysis
Hit paper breakdown →
2021155
2 202283
3 202279
4 202254
5 202354
6 202339
7 202238
8 202333
9 202228
10 202326
11 202310
12 202310
13 20236
14 20245
15 20233
16 20242
17 20232
18 20242
19 20241
20 20241

About Kunming Cheng

Kunming Cheng is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Health Informatics, Epidemiology and Biomedical Engineering, having authored 21 papers that have together received 631 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Ferroptosis and cancer prognosis (2 papers), Bone and Joint Diseases (2 papers), Epigenetics and DNA Methylation (2 papers), Nanoplatforms for cancer theranostics (2 papers), Simulation-Based Education in Healthcare (1 paper) and Biomarkers in Disease Mechanisms (1 paper). The work is most often cited by research in Health Informatics (44 citations), Biochemistry (20 citations), Periodontics (9 citations), Molecular Biology (126 citations) and Orthopedics and Sports Medicine (14 citations). Kunming Cheng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Haiyang Wu, Weiguang Yang, Qiang Guo, Zaijie Sun, Zhiming Sun, Linjian Tong, Yulin Wang, Zefeng Shen, Yulin Wang and Yu‐Lin Wang. Their work appears in journals such as International Journal of Surgery, Frontiers in Pharmacology, Journal of Orthopaedic Surgery and Research, Frontiers in Medicine and Cell Death Discovery.

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.

Explore authors with similar magnitude of impact