Cheng Chang

5.1k citations
157 papers · 3.8k · 1 hit paper · h-index 38

Impact in

Papers in

    • Seed Germination and Physiology 23
    • Wheat and Barley Genetics and Pathology 17
    • Genetics and Plant Breeding 12
    • Soybean genetics and cultivation 9

Cheng Chang

143 papers receiving 3.7k citations

Cheng Chang's Hit Papers

Human umbilical cord-derived mesenchymal stem cells prevent the progression of early diabetic nephropathy through inhibiting inflammation and fibrosis 2020 · 229 citations
2290+2+4Years since publication50100150200

Peers

Cheng Chang
Comparison fields: 5 of 157
  • Pharmacology 274
  • Complementary and alternative medicine 225
  • Obstetrics and Gynecology 188
  • Plant Science 858
  • Oncology 616
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Cheng Chang relative to Jae Woo Kim South Korea Jae Woo Kim's profile →
Citations per field
00.5×5.1×
Jae Woo Kim · 1×
Citations per year

Countries citing papers authored by Cheng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Human umbilical cord-derived mesenchymal stem cells prevent the progression of early diabetic nephropathy through inhibiting inflammation and fibrosis
Hit paper breakdown →
2020229
2 2009185
3 2006122
4 2012114
5 2003100
6 201497
7 201496
8 201290
9 201689
10 200589
11 201280
12 201280
13 200678
14 200569
15 201766
16 201665
17 200464
18 200562
19 200659
20 200458

About Cheng Chang

Cheng Chang is a scholar working on Plant Science, Molecular Biology, Electrical and Electronic Engineering, Oncology and Physiology, having authored 157 papers that have together received 3.8k indexed citations. Recurring topics across this work include Seed Germination and Physiology (23 papers), Wheat and Barley Genetics and Pathology (17 papers), Drug Transport and Resistance Mechanisms (14 papers), Wireless Communication Security Techniques (14 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetics and Plant Breeding (12 papers), Asthma and respiratory diseases (9 papers) and Soybean genetics and cultivation (9 papers). The work is most often cited by research in Pharmacology (274 citations), Complementary and alternative medicine (225 citations), Obstetrics and Gynecology (188 citations), Plant Science (858 citations) and Oncology (616 citations). Cheng Chang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peter W. Swaan, Anant Sahai, W.S. Fred Wong, Sean Ekins, Haiping Zhang, Chuanxi Ma, Praveen M. Bahadduri, Jie Lu, Wanxing Eugene Ho and Choon Nam Ong. Their work appears in journals such as Molecular Breeding, Genes, Plant Physiology and Biochemistry, PLoS ONE and Frontiers in Plant Science.

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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