Han Chang
Impact in
- Health Informatics top 10%
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
Papers in
-
- Prostate Cancer Diagnosis and Treatment 8
- Lung Cancer Treatments and Mutations 7
- Lung Cancer Diagnosis and Treatment 6
- Oncology 23
- Cancer Immunotherapy and Biomarkers 15
- Lung Cancer Research Studies 5
- Co-authors
- Yijun Wu (20 shared papers)Xisheng Weng (9 shared papers)Yuming Chong (12 shared papers)Jianghao Liu (8 shared papers)Liang Gong (9 shared papers)Martin Reck (4 shared papers)Zhile Wang (10 shared papers)Kai Kang (11 shared papers)
- Journals
- Cancer Research (7 papers)Annals of Oncology (4 papers)Frontiers in Oncology (2 papers)Future Oncology (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Han Chang
67 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Health Informatics 22
- Oncology 385
- Pulmonary and Respiratory Medicine 311
- Cancer Research 113
- Immunology 93
Countries citing papers authored by Han Chang
This map shows the geographic impact of Han 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 Han Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Chang more than expected).
Fields of papers citing papers by Han Chang
This network shows the impact of papers produced by Han 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 Han Chang. The network helps show where Han Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Han 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 83 | |
| 2 | 2017 | 74 | |
| 3 | 2020 | 71 | |
| 4 | 2021 | 58 | |
| 5 | 2018 | 57 | |
| 6 | 2019 | 53 | |
| 7 | 2022 | 42 | |
| 8 | 2021 | 42 | |
| 9 | 2019 | 40 | |
| 10 | 2021 | 40 | |
| 11 | 2006 | 34 | |
| 12 | 2020 | 26 | |
| 13 | 2009 | 22 | |
| 14 | 2021 | 21 | |
| 15 | 2021 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2022 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2021 | 13 |
About Han Chang
Han Chang is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Epidemiology, having authored 73 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (15 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Cancer Genomics and Diagnostics (8 papers), Prostate Cancer Diagnosis and Treatment (8 papers), Lung Cancer Treatments and Mutations (7 papers), Lung Cancer Diagnosis and Treatment (6 papers), Lung Cancer Research Studies (5 papers) and Multiple and Secondary Primary Cancers (4 papers). The work is most often cited by research in Health Informatics (22 citations), Oncology (385 citations), Pulmonary and Respiratory Medicine (311 citations), Cancer Research (113 citations) and Immunology (93 citations). Han Chang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yijun Wu, Xisheng Weng, Yuming Chong, Jianghao Liu, Liang Gong, Martin Reck, Zhile Wang, Kai Kang, William J. Geese and Solange Peters. Their work appears in journals such as Cancer Research, Annals of Oncology, Frontiers in Oncology, Future Oncology and Journal of Clinical Oncology.
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.