Jer-Wei Chang

1.8k citations
22 papers · 1.1k · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Circular RNAs in diseases

Papers in

    • Epigenetics and DNA Methylation 7
    • RNA modifications and cancer 7
    • Cancer-related gene regulation 3
    • Cancer-related Molecular Pathways 3
    • Cancer Cells and Metastasis 2

Jer-Wei Chang

22 papers receiving 1.1k citations

Peers

Jer-Wei Chang
Comparison fields: 5 of 85
  • Cancer Research 304
  • Molecular Biology 705
  • Oncology 173
  • Pathology and Forensic Medicine 95
  • Immunology and Allergy 22
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Pilar Iniesta Spain
Jinhua Zheng China
Justine Bellier Belgium
Maro Bujak Croatia
Linjuan Zeng China
Carolina Bizama Chile
Masashi Hatori Japan
Chloe Shay United States
Liyan Lv China
Krzysztof Siemianowicz Poland
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Citations per field
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Citations per year

Countries citing papers authored by Jer-Wei Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jer-Wei Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006209
2 2010172
3 2013148
4 2003125
5 201590
6 201756
7 201645
8 201244
9 201639
10 200433
11 200331
12 200717
13 201515
14 200213
15 201511
16 201811
17 20088
18 20145
19 20115
20 20143

About Jer-Wei Chang

Jer-Wei Chang is a scholar working on Molecular Biology, Oncology, Cancer Research, Electrical and Electronic Engineering and Pathology and Forensic Medicine, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), RNA modifications and cancer (7 papers), Cancer-related Molecular Pathways (3 papers), Cancer-related gene regulation (3 papers), Organic Electronics and Photovoltaics (2 papers), Fatty Acid Research and Health (2 papers), Organic Light-Emitting Diodes Research (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (304 citations), Molecular Biology (705 citations), Oncology (173 citations), Pathology and Forensic Medicine (95 citations) and Immunology and Allergy (22 citations). Jer-Wei Chang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yi‐Ching Wang, Chih‐Yi Chen, Ruo-Kai Lin, Han‐Shui Hsu, Jung-Ta Chen, Ruo‐Chia Tseng, Chuen-Ming Shih, Lu‐Hai Wang, Yun-Yueh Lu and Yen-An Tang. Their work appears in journals such as Oncotarget, Organic Electronics, Cancer Research, Journal of Clinical Investigation and Clinical Cancer Research.

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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