Wei Chun Chang
- Co-authors
- Paul FitzpatrickSamuil R. UmanskyMichael KieferMamatha MahadevappaLicia TomeiJohn P. ShapiroHovsep MelkonyanDongping He
- Topics
- CRISPR and Genetic Engineering (3 papers)Essential Oils and Antimicrobial Activity (3 papers)Pelvic floor disorders treatments (2 papers)
- Cited by
- GeneticsMolecular BiologyOncology
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBlood
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Wei Chun Chang
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 662
- Genetics 291
- Oncology 210
- Immunology 132
- Surgery 98
Countries citing papers authored by Wei Chun Chang
This map shows the geographic impact of Wei Chun 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 Wei Chun Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Chun Chang more than expected).
Fields of papers citing papers by Wei Chun Chang
This network shows the impact of papers produced by Wei Chun 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 Wei Chun Chang. The network helps show where Wei Chun Chang may publish in the future.
Co-authorship network of co-authors of Wei Chun Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Chun Chang. A scholar is included among the top collaborators of Wei Chun Chang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Chun Chang. Wei Chun Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 85 | |
| 4 | 52 | |
| 5 | 16 | |
| 6 | 0 | |
| 7 | 25 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 30 | |
| 11 | 9 | |
| 12 | 34 | |
| 13 | Fluxless reflow of eutectic solder bump using formic acid | 3 |
| 14 | Left atrial myxoma with a small secundum atrial septal defect diagnosed with multi-detector computed tomography | 1 |
| 15 | 87 | |
| 16 | 1 | |
| 17 | 44 | |
| 18 | 1 | |
| 19 | 21 | |
| 20 | Walking patterns of normal children aged from 4 to 6 years old and young adults in Taiwan | 1 |
About Wei Chun Chang
Wei Chun Chang is a scholar working on Urology, Otorhinolaryngology and Rheumatology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Essential Oils and Antimicrobial Activity (3 papers) and Pelvic floor disorders treatments (2 papers). The work is most often cited by research in Genetics (291 citations), Molecular Biology (662 citations) and Oncology (210 citations). Wei Chun Chang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Paul Fitzpatrick, Samuil R. Umansky, Michael Kiefer, Mamatha Mahadevappa, Licia Tomei, John P. Shapiro, Hovsep Melkonyan, Dongping He, Nobuko Uchida and Michael J. Reitsma. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.
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.