Heather Chen
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 5%
- AI in cancer detection
Papers in
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- Occupational and environmental lung diseases 3
- Lung Cancer Diagnosis and Treatment 2
- Pleural and Pulmonary Diseases 2
- Renal cell carcinoma treatment 2
- Lung Cancer Treatments and Mutations 1
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- AI in cancer detection 6
- Co-authors
- Jefree J. Schulte (2 shared papers)Robert L. Grossman (1 shared paper)Lara Rosaline Heij (1 shared paper)James M. Dolezal (1 shared paper)Sara E. Kochanny (1 shared paper)Frederick Matthew Howard (1 shared paper)Olufunmilayo Ibironke Olopade (1 shared paper)Alexander T. Pearson (1 shared paper)
- Journals
- American Journal of Clinical Pathology (2 papers)Lung Cancer (1 paper)Journal of Forensic Sciences (1 paper)Nature Communications (1 paper)Cancer Medicine (1 paper)
- Partner nations
- United StatesFranceSouth Africa
In The Last Decade
Heather Chen
18 papers receiving 435 citations
Peers
Comparison fields: 5 of 48
- Health Informatics 51
- Artificial Intelligence 236
- Pulmonary and Respiratory Medicine 117
- Toxicology 6
- Safety Research 14
Countries citing papers authored by Heather Chen
This map shows the geographic impact of Heather Chen'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 Heather Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Chen more than expected).
Fields of papers citing papers by Heather Chen
This network shows the impact of papers produced by Heather Chen. 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 Heather Chen. The network helps show where Heather Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather Chen, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 206 | |
| 2 | 2020 | 79 | |
| 3 | 2023 | 42 | |
| 4 | 2023 | 33 | |
| 5 | 2024 | 19 | |
| 6 | 2021 | 18 | |
| 7 | 2023 | 8 | |
| 8 | 2017 | 7 | |
| 9 | 2024 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2025 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2026 | 1 | |
| 19 | 2023 | 0 | |
| 20 | 2024 | 0 |
About Heather Chen
Heather Chen is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence, Surgery, Toxicology and Hepatology, having authored 22 papers that have together received 446 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Occupational and environmental lung diseases (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Pleural and Pulmonary Diseases (2 papers), Renal cell carcinoma treatment (2 papers), Lung Cancer Treatments and Mutations (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Health Informatics (51 citations), Artificial Intelligence (236 citations), Pulmonary and Respiratory Medicine (117 citations), Toxicology (6 citations) and Safety Research (14 citations). Heather Chen has collaborated with scholars based in United States, France and South Africa. Frequent co-authors include Jefree J. Schulte, Robert L. Grossman, Lara Rosaline Heij, James M. Dolezal, Sara E. Kochanny, Frederick Matthew Howard, Olufunmilayo Ibironke Olopade, Alexander T. Pearson, Dezheng Huo and Jakob Nikolas Kather. Their work appears in journals such as American Journal of Clinical Pathology, Lung Cancer, Journal of Forensic Sciences, Nature Communications and Cancer Medicine.
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.