Clare Lamont
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
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- Cancer Genomics and Diagnostics
Papers in
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- Cancer, Hypoxia, and Metabolism 4
- Cancer Genomics and Diagnostics 1
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- Angiogenesis and VEGF in Cancer 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Philip Hahnfeldt (7 shared papers)Lynn Hlatky (7 shared papers)Afshin Beheshti (5 shared papers)Sébastien Benzekry (3 shared papers)Amanda Tracz (1 shared paper)John M.L. Ebos (1 shared paper)Amir Abdollahi (1 shared paper)Swati Girdhani (1 shared paper)
- Journals
- Radiation Research (2 papers)Cancer Research (2 papers)Journal of Radiation Research (1 paper)Emergency Medicine Journal (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Clare Lamont
8 papers receiving 510 citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 217
- Cancer Research 86
- Oncology 124
- Radiology, Nuclear Medicine and Imaging 85
- Pulmonary and Respiratory Medicine 97
Countries citing papers authored by Clare Lamont
This map shows the geographic impact of Clare Lamont'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 Clare Lamont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clare Lamont more than expected).
Fields of papers citing papers by Clare Lamont
This network shows the impact of papers produced by Clare Lamont. 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 Clare Lamont. The network helps show where Clare Lamont may publish in the future.
Co-authors
The 16 scholars most cited alongside Clare Lamont, 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 | 2014 | 371 | |
| 2 | 2012 | 72 | |
| 3 | 2017 | 31 | |
| 4 | 2015 | 23 | |
| 5 | 2015 | 12 | |
| 6 | 2014 | 11 | |
| 7 | 2011 | 1 | |
| 8 | Classical Mathematical Models for Description and Forecast of Preclinical Tumor Growth | 2013 | 1 |
| 9 | 2012 | 0 |
About Clare Lamont
Clare Lamont is a scholar working on Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Modeling and Simulation, having authored 9 papers that have together received 522 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Mathematical Biology Tumor Growth (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer Cells and Metastasis (2 papers), Radiation Therapy and Dosimetry (2 papers), Cancer Genomics and Diagnostics (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Modeling and Simulation (217 citations), Cancer Research (86 citations), Oncology (124 citations), Radiology, Nuclear Medicine and Imaging (85 citations) and Pulmonary and Respiratory Medicine (97 citations). Clare Lamont has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Philip Hahnfeldt, Lynn Hlatky, Afshin Beheshti, Sébastien Benzekry, Amanda Tracz, John M.L. Ebos, Amir Abdollahi, Swati Girdhani, Michael J. Peluso and Dominique Barbolosi. Their work appears in journals such as Radiation Research, Cancer Research, Journal of Radiation Research, Emergency Medicine Journal and PLoS Computational Biology.
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.