James Moore
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
-
- Colorectal Cancer Surgical Treatments
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Screening and Detection
Papers in
- Oncology 9
- Colorectal Cancer Surgical Treatments 4
- Colorectal Cancer Screening and Detection 3
- Colorectal Cancer Treatments and Studies 3
- Cancer Cells and Metastasis 2
-
- Mathematical Biology Tumor Growth 3
- Co-authors
- Michael Daub (2 shared papers)David A. Gross (2 shared papers)Weiqing Gu (2 shared papers)K. Renee Fister (2 shared papers)Lisette de Pillis (1 shared paper)David Roder (7 shared papers)Timothy Price (7 shared papers)Michel Alary (1 shared paper)
- Journals
- Clinical Oncology (1 paper)Cancer Research (1 paper)Current Problems in Cancer (1 paper)Targeted Oncology (1 paper)Colorectal Disease (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
James Moore
15 papers receiving 393 citations
Peers
Comparison fields: 5 of 48
- Modeling and Simulation 111
- Oncology 149
- Infectious Diseases 41
- Immunology 34
- Sociology and Political Science 59
Countries citing papers authored by James Moore
This map shows the geographic impact of James 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 James Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Moore more than expected).
Fields of papers citing papers by James Moore
This network shows the impact of papers produced by James 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 James Moore. The network helps show where James Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside James 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 | 2008 | 119 | |
| 2 | 2008 | 110 | |
| 3 | 2017 | 44 | |
| 4 | 2015 | 35 | |
| 5 | Seeking Bang-Bang Solutions of Mixed Immuno-Chemotherapy of Tumors | 2007 | 30 |
| 6 | 1997 | 17 | |
| 7 | 2005 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2023 | 4 | |
| 10 | 2021 | 4 | |
| 11 | 2015 | 4 | |
| 12 | 2016 | 3 | |
| 13 | An ODE Model of Biochemotherapy Treatment for Cancer | 2007 | 3 |
| 14 | Peroperative detection of patients with rectal cancer at high risk of local recurrence. | 1985 | 2 |
| 15 | 2020 | 1 | |
| 16 | 2025 | 0 |
About James Moore
James Moore is a scholar working on Oncology, Modeling and Simulation, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 16 papers that have together received 405 indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (4 papers), Mathematical Biology Tumor Growth (3 papers), Colorectal Cancer Screening and Detection (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Cancer Cells and Metastasis (2 papers), Renal cell carcinoma treatment (1 paper), Acute Myocardial Infarction Research (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Modeling and Simulation (111 citations), Oncology (149 citations), Infectious Diseases (41 citations), Immunology (34 citations) and Sociology and Political Science (59 citations). James Moore has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Michael Daub, David A. Gross, Weiqing Gu, K. Renee Fister, Lisette de Pillis, David Roder, Timothy Price, Michel Alary, Rajatashuvra Adhikary and Stephen Mills. Their work appears in journals such as Clinical Oncology, Cancer Research, Current Problems in Cancer, Targeted Oncology and Colorectal Disease.
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.