Zai Chang

3.0k citations
29 papers · 1.4k · h-index 23

Impact in

    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • Pluripotent Stem Cells Research
    • PI3K/AKT/mTOR signaling in cancer
    • Cancer-related molecular mechanisms research

Papers in

    • PI3K/AKT/mTOR signaling in cancer 5
    • Metabolism, Diabetes, and Cancer 4
    • Cancer-related gene regulation 3
    • CRISPR and Genetic Engineering 3
    • Congenital heart defects research 2
    • Pancreatic function and diabetes 3

Zai Chang

29 papers receiving 1.4k citations

Peers

Zai Chang
Comparison fields: 5 of 92
  • Molecular Biology 877
  • Cancer Research 169
  • Aging 20
  • Immunology 225
  • Oncology 209
Replace Yuri Ivashchenko with:
Yuri Ivashchenko United States
Bettina Dümmler Switzerland
Horacio Martinetto Argentina
T F Franke United States
Manjari Dimri United States
Luminita Paraoan United Kingdom
Qinxi Li China
Wei Du United States
Shigehiro Osada Japan
Roxana Pincheira United States
Zai Chang relative to Yuri Ivashchenko United States Yuri Ivashchenko's profile →
Citations per field
00.5×
Yuri Ivashchenko · 1×
Citations per year

Countries citing papers authored by Zai Chang

Since Specialization
Citations

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

Fields of papers citing papers by Zai Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021135
2 2012101
3 201093
4 201688
5 201587
6 201583
7 201981
8 201868
9 201959
10 201155
11 201654
12 200954
13 201049
14 201043
15 202440
16 201435
17 200735
18 201433
19
Procyanidins from grape seeds protect against phorbol ester-induced oxidative cellular and genotoxic damage.
200426
20 200824

About Zai Chang

Zai Chang is a scholar working on Molecular Biology, Surgery, Oncology, Immunology and Pathology and Forensic Medicine, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Cancer-related gene regulation (3 papers), Pancreatic function and diabetes (3 papers), CRISPR and Genetic Engineering (3 papers), T-cell and B-cell Immunology (2 papers), Congenital heart defects research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Molecular Biology (877 citations), Cancer Research (169 citations), Aging (20 citations), Immunology (225 citations) and Oncology (209 citations). Zai Chang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhongzhou Yang, Brian A. Hemmings, Qiuting Feng, Meixiang Yang, Dan Li, Zhigang Tian, Peng Du, Hui Shen, Shiyu Li and Chunhui Wang. Their work appears in journals such as Molecular and Cellular Biology, Cardiovascular Drugs and Therapy, Developmental Biology, Cell Research and G3 Genes Genomes Genetics.

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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