De Chang

4.9k citations
62 papers · 1.4k indexed · 1 hit paper · h-index 16

Impact in

Papers in

De Chang

59 papers receiving 1.4k citations

Hit Papers

Epidemiologic and Clinical Characteristics of Novel Coronavirus Infections Involving 13 Patients Outside Wuhan, China 2020 · 475 citations
4752020202620222024100200300400

Peers

De Chang
Comparison fields: 5 of 127
  • Infectious Diseases 536
  • Molecular Medicine 128
  • Applied Microbiology and Biotechnology 43
  • Modeling and Simulation 77
  • Neurology 217
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De Chang relative to Amir Shlomai Israel Amir Shlomai's profile →
Citations per field
00.5×4.8×
Amir Shlomai · 1×
Citations per year

Countries citing papers authored by De Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with De Chang Line = papers co-authored together De Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

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 →
2020475
2 2021160
3 2011107
4 201396
5 202059
6 202043
7 201742
8 201339
9 202033
10 201330
11 201429
12 202022
13 201321
14 202318
15 201417
16 201316
17 201313
18 201213
19 202012
20 201712

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.

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