Michael Y. Chang
- Co-authors
- David J. SugarbakerMichael T. JaklitschYolonda L. ColsonSteven J. MentzerSteven Μ. AlbeldaWilliam G. RichardsSteven SwansonLambros Zellos
- Topics
- Virus-based gene therapy research (5 papers)RNA Interference and Gene Delivery (5 papers)Pleural and Pulmonary Diseases (4 papers)
- Journals
- ACS Applied Materials & InterfacesActa BiomaterialiaJournal of Thoracic and Cardiovascular Surgery
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Michael Y. Chang
22 papers receiving 966 citations
Peers
Comparison fields: 5 of 90
- Pulmonary and Respiratory Medicine 452
- Molecular Biology 212
- Genetics 207
- Epidemiology 163
- Oncology 145
Countries citing papers authored by Michael Y. Chang
This map shows the geographic impact of Michael Y. 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 Michael Y. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Y. Chang more than expected).
Fields of papers citing papers by Michael Y. Chang
This network shows the impact of papers produced by Michael Y. 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 Michael Y. Chang. The network helps show where Michael Y. Chang may publish in the future.
Co-authorship network of co-authors of Michael Y. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Y. Chang. A scholar is included among the top collaborators of Michael Y. 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 Michael Y. Chang. Michael Y. 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 | 1 | |
| 2 | 17 | |
| 3 | 36 | |
| 4 | 26 | |
| 5 | 67 | |
| 6 | 70 | |
| 7 | 21 | |
| 8 | 71 | |
| 9 | 6 | |
| 10 | 268 | |
| 11 | 29 | |
| 12 | 30 | |
| 13 | 31 | |
| 14 | 41 | |
| 15 | Cationic lipid:bacterial DNA complexes elicit adaptive cellular immunity in murine intraperitoneal tumor models. | 59 |
| 16 | 28 | |
| 17 | 41 | |
| 18 | 26 | |
| 19 | Use of a "replication-restricted" herpes virus to treat experimental human malignant mesothelioma. | 96 |
| 20 | 7 |
About Michael Y. Chang
Michael Y. Chang is a scholar working on Hepatology, Biotechnology and Occupational Therapy, having authored 22 papers that have together received 992 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (5 papers) and Pleural and Pulmonary Diseases (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (452 citations), Biotechnology (68 citations) and Genetics (207 citations). Michael Y. Chang has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include David J. Sugarbaker, Michael T. Jaklitsch, Yolonda L. Colson, Steven J. Mentzer, Steven Μ. Albelda, William G. Richards, Steven Swanson, Lambros Zellos, Raphael Bueno and Siyamek Neragi-Miandoab. Their work appears in journals such as ACS Applied Materials & Interfaces, Acta Biomaterialia and Journal of Thoracic and Cardiovascular Surgery.
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.