Robert Noble
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Genetics 9
- Evolution and Genetic Dynamics 8
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- Cancer Genomics and Diagnostics 8
- Co-authors
- Michael Hochberg (6 shared papers)Yannick Viossat (3 shared papers)Oliver Kaltz (2 shared papers)Mario Recker (3 shared papers)Niko Beerenwinkel (2 shared papers)Jakob Nikolas Kather (1 shared paper)Dominik Bürri (1 shared paper)Susana Prieto (1 shared paper)
- Journals
- Evolutionary Applications (2 papers)eLife (2 papers)PLoS ONE (2 papers)Nature Ecology & Evolution (2 papers)Medical Physics (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Robert Noble
19 papers receiving 475 citations
Peers
Comparison fields: 5 of 87
- Modeling and Simulation 154
- Cancer Research 186
- Genetics 156
- Aging 6
- Oncology 80
Countries citing papers authored by Robert Noble
This map shows the geographic impact of Robert Noble'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 Robert Noble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Noble more than expected).
Fields of papers citing papers by Robert Noble
This network shows the impact of papers produced by Robert Noble. 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 Robert Noble. The network helps show where Robert Noble may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Noble, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 72 | |
| 2 | 2021 | 64 | |
| 3 | 2017 | 59 | |
| 4 | 2021 | 53 | |
| 5 | 2015 | 42 | |
| 6 | 2023 | 37 | |
| 7 | 2012 | 29 | |
| 8 | 2021 | 23 | |
| 9 | 2017 | 18 | |
| 10 | 2013 | 18 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 1979 | 10 | |
| 15 | 2012 | 7 | |
| 16 | 1982 | 7 | |
| 17 | 2017 | 6 | |
| 18 | 1981 | 3 | |
| 19 | Create Muller Plots of Evolutionary Dynamics [R package ggmuller version 0.5.4] | 2019 | 1 |
| 20 | 2024 | 0 |
About Robert Noble
Robert Noble is a scholar working on Genetics, Cancer Research, Modeling and Simulation, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 23 papers that have together received 484 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (8 papers), Cancer Genomics and Diagnostics (8 papers), Mathematical Biology Tumor Growth (7 papers), Malaria Research and Control (3 papers), HIV Research and Treatment (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Modeling and Simulation (154 citations), Cancer Research (186 citations), Genetics (156 citations), Aging (6 citations) and Oncology (80 citations). Robert Noble has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michael Hochberg, Yannick Viossat, Oliver Kaltz, Mario Recker, Niko Beerenwinkel, Jakob Nikolas Kather, Dominik Bürri, Susana Prieto, Daniel Fisher and Charles Vincent. Their work appears in journals such as Evolutionary Applications, eLife, PLoS ONE, Nature Ecology & Evolution and Medical Physics.
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.