Alex Chang

559 citations
13 papers · 438 · h-index 10

Impact in

    • Genetic Neurodegenerative Diseases
    • RNA Research and Splicing
    • Mitochondrial Function and Pathology
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Signaling Pathways in Disease

Papers in

Alex Chang

13 papers receiving 429 citations

Peers

Alex Chang
Comparison fields: 5 of 59
  • Cellular and Molecular Neuroscience 120
  • Molecular Biology 329
  • Aging 8
  • Genetics 88
  • Aquatic Science 21
Replace Shota Chiba with:
Shota Chiba Japan
Yosuke Ogura Japan
Michel Duvert France
Mariusz K. Jaglarz Poland
Yasuaki Mochizuki Japan
Jon Permanyer Spain
Hugo J. Parker United States
Daisuke Hoshiyama Japan
Tatsuaki Saito Japan
Carola Burgtorf Germany
Alex Chang relative to Shota Chiba Japan Shota Chiba's profile →
Citations per field
00.5×1.5×2.1×
Shota Chiba · 1×
Citations per year

Countries citing papers authored by Alex Chang

Since Specialization
Citations

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

Fields of papers citing papers by Alex Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2002153
2 200066
3 200064
4 201032
5 200131
6 201324
7 201021
8 201915
9 200711
10 199810
11 20079
12 20071
13 20071

About Alex Chang

Alex Chang is a scholar working on Molecular Biology, Nature and Landscape Conservation, Aquatic Science, Genetics and Pharmacology, having authored 13 papers that have together received 438 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Genetic diversity and population structure (2 papers), Aquaculture Nutrition and Growth (2 papers), RNA modifications and cancer (2 papers), Alzheimer's disease research and treatments (1 paper), Ubiquitin and proteasome pathways (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (120 citations), Molecular Biology (329 citations), Aging (8 citations), Genetics (88 citations) and Aquatic Science (21 citations). Alex Chang has collaborated with scholars based in Singapore, United States and Hungary. Frequent co-authors include Marius Sudol, Gen Hua Yue, Xavier Espanel, M. Maral Mouradian, Tim H. Lindblom, Seishi Kato, Masao Shibata, Xi Lin, Akihiko Komuro and Hiroshi Hatanaka. Their work appears in journals such as Aquaculture, Reviews in Fisheries Science & Aquaculture, Conservation Genetics, Gene and Molecular Ecology Resources.

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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