Danielle L. Peacock

About

Danielle L. Peacock is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Danielle L. Peacock has authored 9 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Danielle L. Peacock’s work include Cancer, Hypoxia, and Metabolism (6 papers), Mathematical Biology Tumor Growth (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Danielle L. Peacock is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Mathematical Biology Tumor Growth (3 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Danielle L. Peacock collaborates with scholars based in United States, United Kingdom and Canada. Danielle L. Peacock's co-authors include Tiffany N. Seagroves, Luciana P. Schwab, Thomas P. Lynch, Mauricio J. Reginato, David J. Vocadlo, Christina M. Ferrer, Valerie L. Sodi, John N. Falcone, Joanna M. Wardlaw and Kristin R. Swanson and has published in prestigious journals such as Molecular Cell, Cancer Research and American Journal Of Pathology.

In The Last Decade

Co-authorship network of co-authors of Danielle L. Peacock i

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Fields of papers citing papers by Danielle L. Peacock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle L. Peacock. 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 Danielle L. Peacock. The network helps show where Danielle L. Peacock may publish in the future.

Countries citing papers authored by Danielle L. Peacock

Since Specialization

Citations

This map shows the geographic impact of Danielle L. Peacock'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 Danielle L. Peacock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle L. Peacock more than expected).

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.

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