Chia‐Chu Chang
Impact in
- Nephrology top 2%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
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- Air Quality and Health Impacts
- Heavy Metal Exposure and Toxicity
Papers in
- Nephrology 30
- Dialysis and Renal Disease Management 17
- Chronic Kidney Disease and Diabetes 8
- Acute Kidney Injury Research 4
- Co-authors
- Chew‐Teng Kor (37 shared papers)Ping‐Fang Chiu (31 shared papers)Yao‐Ko Wen (11 shared papers)Chia‐Lin Wu (25 shared papers)Yao‐Peng Hsieh (12 shared papers)Ie‐Bin Lian (10 shared papers)Ching-Hui Huang (12 shared papers)Der‐Cherng Tarng (10 shared papers)
- Journals
- PLoS ONE (13 papers)Scientific Reports (8 papers)Medicine (6 papers)Nephrology (5 papers)Renal Failure (4 papers)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Chia‐Chu Chang
101 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 113
- Nephrology 426
- Health, Toxicology and Mutagenesis 169
- Hematology 108
- Endocrinology, Diabetes and Metabolism 88
- Epidemiology 160
Countries citing papers authored by Chia‐Chu Chang
This map shows the geographic impact of Chia‐Chu 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 Chia‐Chu Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Chu Chang more than expected).
Fields of papers citing papers by Chia‐Chu Chang
This network shows the impact of papers produced by Chia‐Chu 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 Chia‐Chu Chang. The network helps show where Chia‐Chu Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chia‐Chu Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 55 | |
| 2 | 2015 | 51 | |
| 3 | 2017 | 51 | |
| 4 | 2009 | 48 | |
| 5 | 2011 | 48 | |
| 6 | 2017 | 48 | |
| 7 | 2017 | 47 | |
| 8 | 2004 | 45 | |
| 9 | 2017 | 41 | |
| 10 | 2004 | 39 | |
| 11 | 2014 | 36 | |
| 12 | 2014 | 34 | |
| 13 | 2018 | 34 | |
| 14 | 2017 | 33 | |
| 15 | 2012 | 32 | |
| 16 | 2017 | 32 | |
| 17 | 2014 | 30 | |
| 18 | 2005 | 29 | |
| 19 | 2017 | 29 | |
| 20 | 2018 | 29 |
About Chia‐Chu Chang
Chia‐Chu Chang is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Epidemiology, Hematology and Health, Toxicology and Mutagenesis, having authored 104 papers that have together received 1.7k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (17 papers), Chronic Kidney Disease and Diabetes (8 papers), Menopause: Health Impacts and Treatments (7 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers), Urinary Tract Infections Management (5 papers), Acute Kidney Injury Research (4 papers), Iron Metabolism and Disorders (4 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Nephrology (426 citations), Health, Toxicology and Mutagenesis (169 citations), Hematology (108 citations), Endocrinology, Diabetes and Metabolism (88 citations) and Epidemiology (160 citations). Chia‐Chu Chang has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Chew‐Teng Kor, Ping‐Fang Chiu, Yao‐Ko Wen, Chia‐Lin Wu, Yao‐Peng Hsieh, Ie‐Bin Lian, Ching-Hui Huang, Der‐Cherng Tarng, Chin‐San Liu and Yang Yu. Their work appears in journals such as PLoS ONE, Scientific Reports, Medicine, Nephrology and Renal Failure.
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.