Julia Chen
Impact in
- Microbiology top 10%
- Dermatology top 5%
- Acne and Rosacea Treatments and Effects
Papers in
- Oncology 11
- HER2/EGFR in Cancer Research 3
- Cancer-related Molecular Pathways 2
- PARP inhibition in cancer therapy 2
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- Cancer Genomics and Diagnostics 5
- Breast Cancer Treatment Studies 2
- Co-authors
- Paul M. Titchenell (1 shared paper)Qingwei Chu (1 shared paper)Helen Chen (1 shared paper)Bobby R. Monks (1 shared paper)Wenyun Lu (1 shared paper)William J. Quinn (1 shared paper)Morris J. Birnbaum (1 shared paper)Mingjian Lu (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Frontiers in Oncology (2 papers)Journal of General Internal Medicine (2 papers)Cell Metabolism (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Julia Chen
29 papers receiving 692 citations
Peers
Comparison fields: 5 of 100
- Microbiology 10
- Dermatology 112
- Endocrinology, Diabetes and Metabolism 82
- Epidemiology 165
- Endocrine and Autonomic Systems 31
Countries citing papers authored by Julia Chen
This map shows the geographic impact of Julia 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 Julia Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Chen more than expected).
Fields of papers citing papers by Julia Chen
This network shows the impact of papers produced by Julia 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 Julia Chen. The network helps show where Julia Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 216 | |
| 2 | 2015 | 123 | |
| 3 | 2021 | 53 | |
| 4 | 2024 | 44 | |
| 5 | 2017 | 43 | |
| 6 | 2015 | 40 | |
| 7 | 2020 | 30 | |
| 8 | 2020 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 2013 | 15 | |
| 11 | 2019 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 1990 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 6 |
About Julia Chen
Julia Chen is a scholar working on Oncology, Cancer Research, Epidemiology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 703 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Telemedicine and Telehealth Implementation (3 papers), HER2/EGFR in Cancer Research (3 papers), Patient Satisfaction in Healthcare (3 papers), Prenatal Substance Exposure Effects (2 papers), Cancer-related Molecular Pathways (2 papers), Breast Cancer Treatment Studies (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Microbiology (10 citations), Dermatology (112 citations), Endocrinology, Diabetes and Metabolism (82 citations), Epidemiology (165 citations) and Endocrine and Autonomic Systems (31 citations). Julia Chen has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Paul M. Titchenell, Qingwei Chu, Helen Chen, Bobby R. Monks, Wenyun Lu, William J. Quinn, Morris J. Birnbaum, Mingjian Lu, Joshua D. Rabinowitz and Changhong Li. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, Journal of General Internal Medicine, Cell Metabolism and JAMA Network Open.
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.