Justin Jee
Impact in
- Oncology top 10%
- COVID-19 and healthcare impacts
- Cancer Immunotherapy and Biomarkers
- Neutropenia and Cancer Infections
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Oncology 14
- COVID-19 and healthcare impacts 9
- Lung Cancer Research Studies 2
- Neutropenia and Cancer Infections 2
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Michael Bonner Foote (4 shared papers)Beatriz Wills (2 shared papers)Andriy Derkach (3 shared papers)Molly Maloy (3 shared papers)Chris Fong (3 shared papers)Varun K. Narendra (3 shared papers)Luis Alberto Diaz (2 shared papers)Aaron James Stonestrom (3 shared papers)
- Journals
- Gynecologic Oncology (2 papers)Blood (2 papers)Nature Communications (2 papers)Cancer (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Justin Jee
20 papers receiving 347 citations
Peers
Comparison fields: 5 of 55
- Oncology 220
- Infectious Diseases 88
- Health Informatics 5
- Pulmonary and Respiratory Medicine 32
- Radiology, Nuclear Medicine and Imaging 23
Countries citing papers authored by Justin Jee
This map shows the geographic impact of Justin Jee'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 Justin Jee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Jee more than expected).
Fields of papers citing papers by Justin Jee
This network shows the impact of papers produced by Justin Jee. 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 Justin Jee. The network helps show where Justin Jee may publish in the future.
Co-authors
The 25 scholars most cited alongside Justin Jee, 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 | 2020 | 180 | |
| 2 | 2020 | 45 | |
| 3 | 2021 | 26 | |
| 4 | 2024 | 14 | |
| 5 | 2025 | 11 | |
| 6 | 2021 | 11 | |
| 7 | 2024 | 9 | |
| 8 | 2020 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2025 | 6 | |
| 14 | 2023 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2020 | 1 |
About Justin Jee
Justin Jee is a scholar working on Oncology, Cancer Research, Health Informatics, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 22 papers that have together received 351 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (9 papers), Cancer Genomics and Diagnostics (4 papers), Acute Myeloid Leukemia Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Lung Cancer Research Studies (2 papers), Neutropenia and Cancer Infections (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Oncology (220 citations), Infectious Diseases (88 citations), Health Informatics (5 citations), Pulmonary and Respiratory Medicine (32 citations) and Radiology, Nuclear Medicine and Imaging (23 citations). Justin Jee has collaborated with scholars based in United States and Canada. Frequent co-authors include Michael Bonner Foote, Beatriz Wills, Andriy Derkach, Molly Maloy, Chris Fong, Varun K. Narendra, Luis Alberto Diaz, Aaron James Stonestrom, Melissa S. Pessin and Melissa Amy Lumish. Their work appears in journals such as Gynecologic Oncology, Blood, Nature Communications, Cancer and Scientific Reports.
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.