Casey Moore
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- interferon and immune responses
- Immune cells in cancer
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
- Oncology 13
- Cancer Immunotherapy and Biomarkers 11
- CAR-T cell therapy research 4
-
- Immunotherapy and Immune Responses 3
- Co-authors
- Chuanhui Han (6 shared papers)Jian Qiao (5 shared papers)Yang‐Xin Fu (5 shared papers)Anli Zhang (4 shared papers)Zhenhua Ren (3 shared papers)Zhida Liu (3 shared papers)Chunbo Dong (2 shared papers)Longchao Liu (4 shared papers)
- Journals
- Nature Cancer (1 paper)Nature Immunology (1 paper)Clinical Genitourinary Cancer (1 paper)Frontiers in Oncology (1 paper)Nature Biomedical Engineering (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Casey Moore
14 papers receiving 634 citations
Peers
Comparison fields: 5 of 59
- Immunology 331
- Oncology 260
- Radiation 30
- Radiology, Nuclear Medicine and Imaging 72
- Molecular Biology 195
Countries citing papers authored by Casey Moore
This map shows the geographic impact of Casey Moore'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 Casey Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey Moore more than expected).
Fields of papers citing papers by Casey Moore
This network shows the impact of papers produced by Casey Moore. 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 Casey Moore. The network helps show where Casey Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Casey Moore, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 154 | |
| 2 | 2020 | 128 | |
| 3 | 2021 | 82 | |
| 4 | 2021 | 74 | |
| 5 | 2022 | 65 | |
| 6 | 2022 | 61 | |
| 7 | 2019 | 28 | |
| 8 | 2020 | 18 | |
| 9 | 2024 | 14 | |
| 10 | 2024 | 9 | |
| 11 | 2022 | 4 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 0 |
About Casey Moore
Casey Moore is a scholar working on Oncology, Immunology, Modeling and Simulation, Cancer Research and Pathology and Forensic Medicine, having authored 15 papers that have together received 641 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer Genomics and Diagnostics (2 papers), Mathematical Biology Tumor Growth (2 papers), Genetic factors in colorectal cancer (2 papers), RNA Interference and Gene Delivery (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Immunology (331 citations), Oncology (260 citations), Radiation (30 citations), Radiology, Nuclear Medicine and Imaging (72 citations) and Molecular Biology (195 citations). Casey Moore has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Chuanhui Han, Jian Qiao, Yang‐Xin Fu, Anli Zhang, Zhenhua Ren, Zhida Liu, Chunbo Dong, Longchao Liu, Changzheng Lu and Joonbeom Bae. Their work appears in journals such as Nature Cancer, Nature Immunology, Clinical Genitourinary Cancer, Frontiers in Oncology and Nature Biomedical Engineering.
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.