De Chang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
-
- Genomics and Phylogenetic Studies 10
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- COVID-19 Clinical Research Studies 13
- SARS-CoV-2 and COVID-19 Research 11
- Co-authors
- Lokesh Sharma (20 shared papers)Charles S. Dela Cruz (18 shared papers)Minggui Lin (2 shared papers)Lai Wei (1 shared paper)Guangfa Zhu (1 shared paper)Lixin Xie (2 shared papers)Hong‐Zhen Du (4 shared papers)Yupei Zhao (1 shared paper)
- Journals
- Journal of Bacteriology (8 papers)Frontiers in Immunology (2 papers)International Journal of COPD (2 papers)Tumor Biology (2 papers)Advances in Space Research (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
De Chang
59 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Infectious Diseases 536
- Molecular Medicine 128
- Applied Microbiology and Biotechnology 43
- Modeling and Simulation 77
- Neurology 217
Countries citing papers authored by De Chang
This map shows the geographic impact of De 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 De Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites De Chang more than expected).
Fields of papers citing papers by De Chang
This network shows the impact of papers produced by De 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 De Chang. The network helps show where De Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside De 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Epidemiologic and Clinical Characteristics of Novel Coronavirus Infections Involving 13 Patients Outside Wuhan, China Hit paper breakdown → | 2020 | 475 |
| 2 | 2021 | 160 | |
| 3 | 2011 | 107 | |
| 4 | 2013 | 96 | |
| 5 | 2020 | 59 | |
| 6 | 2020 | 43 | |
| 7 | 2017 | 42 | |
| 8 | 2013 | 39 | |
| 9 | 2020 | 33 | |
| 10 | 2013 | 30 | |
| 11 | 2014 | 29 | |
| 12 | 2020 | 22 | |
| 13 | 2013 | 21 | |
| 14 | 2023 | 18 | |
| 15 | 2014 | 17 | |
| 16 | 2013 | 16 | |
| 17 | 2013 | 13 | |
| 18 | 2012 | 13 | |
| 19 | 2020 | 12 | |
| 20 | 2017 | 12 |
About De Chang
De Chang is a scholar working on Molecular Biology, Infectious Diseases, Physiology, Pulmonary and Respiratory Medicine and Neurology, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Spaceflight effects on biology (13 papers), COVID-19 Clinical Research Studies (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Genomics and Phylogenetic Studies (10 papers), Long-Term Effects of COVID-19 (7 papers), Space Exploration and Technology (6 papers), Pediatric health and respiratory diseases (4 papers) and Respiratory viral infections research (4 papers). The work is most often cited by research in Infectious Diseases (536 citations), Molecular Medicine (128 citations), Applied Microbiology and Biotechnology (43 citations), Modeling and Simulation (77 citations) and Neurology (217 citations). De Chang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Lokesh Sharma, Charles S. Dela Cruz, Minggui Lin, Lai Wei, Guangfa Zhu, Lixin Xie, Hong‐Zhen Du, Yupei Zhao, Lei You and Yinghua Guo. Their work appears in journals such as Journal of Bacteriology, Frontiers in Immunology, International Journal of COPD, Tumor Biology and Advances in Space 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.