Marcello Chang
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Renal cell carcinoma treatment 2
- Sarcoma Diagnosis and Treatment 1
- Co-authors
- Elizabeth Hammond (1 shared paper)Jiho Sohn (1 shared paper)David Pleasure (1 shared paper)Jordan Lang (1 shared paper)Fuzheng Guo (1 shared paper)Zishu Zhang (4 shared papers)Paul J. Zhang (4 shared papers)Harrison X. Bai (2 shared papers)
- Journals
- Clinical Cancer Research (1 paper)Applied Clinical Informatics (1 paper)Cell Systems (1 paper)Otolaryngology (1 paper)EBioMedicine (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Marcello Chang
11 papers receiving 428 citations
Peers
Comparison fields: 5 of 67
- Health Informatics 27
- Developmental Neuroscience 51
- Radiology, Nuclear Medicine and Imaging 106
- Pulmonary and Respiratory Medicine 103
- Neurology 25
Countries citing papers authored by Marcello Chang
This map shows the geographic impact of Marcello 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 Marcello Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello Chang more than expected).
Fields of papers citing papers by Marcello Chang
This network shows the impact of papers produced by Marcello 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 Marcello Chang. The network helps show where Marcello Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcello 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 111 | |
| 2 | 2015 | 88 | |
| 3 | 2020 | 83 | |
| 4 | 2020 | 52 | |
| 5 | 2020 | 39 | |
| 6 | 2019 | 23 | |
| 7 | 2022 | 12 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2024 | 6 | |
| 11 | 2020 | 2 |
About Marcello Chang
Marcello Chang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Infectious Diseases, Biomedical Engineering and Surgery, having authored 11 papers that have together received 432 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Sarcoma Diagnosis and Treatment (1 paper), Surgical Simulation and Training (1 paper), Anatomy and Medical Technology (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), SARS-CoV-2 detection and testing (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Health Informatics (27 citations), Developmental Neuroscience (51 citations), Radiology, Nuclear Medicine and Imaging (106 citations), Pulmonary and Respiratory Medicine (103 citations) and Neurology (25 citations). Marcello Chang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Elizabeth Hammond, Jiho Sohn, David Pleasure, Jordan Lang, Fuzheng Guo, Zishu Zhang, Paul J. Zhang, Harrison X. Bai, Yijun Zhao and Robin Wang. Their work appears in journals such as Clinical Cancer Research, Applied Clinical Informatics, Cell Systems, Otolaryngology and EBioMedicine.
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.