Justin Jee
Impact in
- Oncology top 10%
- COVID-19 and healthcare impacts
- Cancer Immunotherapy and Biomarkers
- Neutropenia and Cancer Infections
-
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Oncology 17
- COVID-19 and healthcare impacts 9
- Lung Cancer Research Studies 2
- Peptidase Inhibition and Analysis 2
-
- Cancer Genomics and Diagnostics 7
- Co-authors
- Michael B. Foote (4 shared papers)Yonina R. Murciano‐Goroff (3 shared papers)Chris Fong (5 shared papers)Beatriz Wills (2 shared papers)Melissa S. Pessin (4 shared papers)Melissa Lumish (2 shared papers)Luis A. Díaz (2 shared papers)Molly Maloy (3 shared papers)
- Journals
- Journal of Clinical Oncology (7 papers)Cancer Research (3 papers)Nature Communications (2 papers)Gynecologic Oncology (2 papers)Blood (2 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Justin Jee
25 papers receiving 351 citations
Peers
Comparison fields: 5 of 57
- Oncology 220
- Infectious Diseases 88
- Health Informatics 4
- Cancer Research 21
- Pulmonary and Respiratory Medicine 38
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 178 | |
| 2 | 2020 | 46 | |
| 3 | 2021 | 24 | |
| 4 | 2024 | 14 | |
| 5 | 2021 | 11 | |
| 6 | 2024 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2025 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2020 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 1 |
About Justin Jee
Justin Jee is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 354 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (9 papers), Cancer Genomics and Diagnostics (7 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Treatments and Mutations (4 papers), Acute Myeloid Leukemia Research (2 papers), Lung Cancer Research Studies (2 papers), Peptidase Inhibition and Analysis (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 (4 citations), Cancer Research (21 citations) and Pulmonary and Respiratory Medicine (38 citations). Justin Jee has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Michael B. Foote, Yonina R. Murciano‐Goroff, Chris Fong, Beatriz Wills, Melissa S. Pessin, Melissa Lumish, Luis A. Díaz, Molly Maloy, Varun Narendra and Andriy Derkach. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Nature Communications, Gynecologic Oncology and Blood.
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.