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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- Mathematical Biology Tumor Growth 3
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- Cancer, Hypoxia, and Metabolism 3
- Cancer Genomics and Diagnostics 1
- Co-authors
- Philip Hahnfeldt (7 shared papers)Lynn Hlatky (6 shared papers)Afshin Beheshti (5 shared papers)Sébastien Benzekry (3 shared papers)Amanda Tracz (1 shared paper)John M.L. Ebos (1 shared paper)Swati Girdhani (1 shared paper)Amir Abdollahi (1 shared paper)
- Journals
- Radiation Research (2 papers)PLoS Computational Biology (1 paper)Oncotarget (1 paper)Emergency Medicine Journal (1 paper)Journal of Radiation Research (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Clare Lamont
8 papers receiving 545 citations
Peers
Comparison fields: 5 of 106
- Modeling and Simulation 240
- Cancer Research 91
- Oncology 129
- Radiology, Nuclear Medicine and Imaging 90
- Pulmonary and Respiratory Medicine 102
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 12 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 | 404 | |
| 2 | 2012 | 75 | |
| 3 | 2017 | 32 | |
| 4 | 2015 | 24 | |
| 5 | 2014 | 12 | |
| 6 | 2015 | 12 | |
| 7 | 2011 | 1 | |
| 8 | Classical Mathematical Models for Description and Forecast of Preclinical Tumor Growth | 2013 | 1 |
About Clare Lamont
Clare Lamont is a scholar working on Modeling and Simulation, Cancer Research, Oncology, Biotechnology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 561 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer Cells and Metastasis (2 papers), Epigenetics and DNA Methylation (2 papers), Radiation Therapy and Dosimetry (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Cancer Genomics and Diagnostics (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Modeling and Simulation (240 citations), Cancer Research (91 citations), Oncology (129 citations), Radiology, Nuclear Medicine and Imaging (90 citations) and Pulmonary and Respiratory Medicine (102 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, Swati Girdhani, Amir Abdollahi, Michael Peluso and Dominique Barbolosi. Their work appears in journals such as Radiation Research, PLoS Computational Biology, Oncotarget, Emergency Medicine Journal and Journal of Radiation Research.
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.