Robert C. Cumming

2.4k total citations
33 papers, 1.9k citations indexed

About

Robert C. Cumming is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Robert C. Cumming has authored 33 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 8 papers in Cell Biology. Recurrent topics in Robert C. Cumming's work include Mitochondrial Function and Pathology (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Alzheimer's disease research and treatments (5 papers). Robert C. Cumming is often cited by papers focused on Mitochondrial Function and Pathology (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Alzheimer's disease research and treatments (5 papers). Robert C. Cumming collaborates with scholars based in Canada, United States and United Kingdom. Robert C. Cumming's co-authors include David Schubert, Richard A. Harris, Wolfgang Fischer, Nancy L. Andon, Paul A. Haynes, Minkyu Park, Richard Dargusch, Pamela Maher, Thomas Soucek and Manuel Buchwald and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Neuron.

In The Last Decade

Robert C. Cumming

32 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert C. Cumming Canada 20 1.2k 499 251 244 226 33 1.9k
Manuela Basso Italy 26 1.6k 1.3× 389 0.8× 330 1.3× 394 1.6× 203 0.9× 56 2.4k
Matthew B. Cascio United States 11 1.4k 1.2× 500 1.0× 166 0.7× 250 1.0× 146 0.6× 14 2.1k
Pedro Brites Portugal 22 1.4k 1.1× 453 0.9× 151 0.6× 212 0.9× 172 0.8× 41 1.9k
Ritchie Williamson United Kingdom 25 1.1k 0.9× 946 1.9× 213 0.8× 437 1.8× 176 0.8× 39 2.3k
Sebastian Schmitt Germany 10 979 0.8× 220 0.4× 202 0.8× 271 1.1× 219 1.0× 16 1.7k
Neelam Shahani United States 26 1.5k 1.2× 588 1.2× 162 0.6× 696 2.9× 262 1.2× 39 2.6k
Adrian Israelson Israel 24 2.0k 1.7× 363 0.7× 323 1.3× 485 2.0× 147 0.7× 43 2.9k
Peter Vangheluwe Belgium 34 1.9k 1.6× 531 1.1× 167 0.7× 381 1.6× 590 2.6× 86 3.2k
Tatyana I. Gudz United States 26 2.4k 2.0× 472 0.9× 159 0.6× 422 1.7× 298 1.3× 40 3.3k

Countries citing papers authored by Robert C. Cumming

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Cumming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Cumming. 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 C. Cumming. The network helps show where Robert C. Cumming may publish in the future.

Co-authorship network of co-authors of Robert C. Cumming

This figure shows the co-authorship network connecting the top 25 collaborators of Robert C. Cumming. A scholar is included among the top collaborators of Robert C. Cumming based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert C. Cumming. Robert C. Cumming is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wilson, Rachel B., Cynthia G. Sawyez, Trevor G. Shepherd, et al.. (2024). Elongation factor 1A1 regulates metabolic substrate preference in mammalian cells. Journal of Biological Chemistry. 300(3). 105684–105684. 6 indexed citations
2.
3.
Tennessen, Jason M., et al.. (2023). Aging and memory are altered by genetically manipulating lactate dehydrogenase in the neurons or glia of flies. Aging. 15(4). 947–981. 11 indexed citations
4.
Betts, Dean H., et al.. (2020). Lactate preconditioning promotes a HIF-1α-mediated metabolic shift from OXPHOS to glycolysis in normal human diploid fibroblasts. Scientific Reports. 10(1). 8388–8388. 68 indexed citations
5.
Harris, Richard A., et al.. (2019). Aerobic Glycolysis Is Required for Spatial Memory Acquisition But Not Memory Retrieval in Mice. eNeuro. 6(1). ENEURO.0389–18.2019. 48 indexed citations
6.
7.
Cumming, Robert C., et al.. (2018). Metabolic plasticity during transition to naïve-like pluripotency in canine embryo-derived stem cells. Stem Cell Research. 30. 22–33. 7 indexed citations
8.
Harris, Richard A., et al.. (2018). p66Shc activation promotes increased oxidative phosphorylation and renders CNS cells more vulnerable to amyloid beta toxicity. Scientific Reports. 8(1). 17081–17081. 35 indexed citations
9.
Karagiannis, Jim, et al.. (2018). Effects of Global O-GlcNAcylation on Galectin Gene-expression Profiles in Human Cancer Cell Lines. Anticancer Research. 38(12). 6691–6697. 8 indexed citations
10.
Cumming, Robert C., et al.. (2017). The association between oxidative stress-induced galectins and differentiation of human promyelocytic HL-60 cells. Experimental Cell Research. 355(2). 113–123. 19 indexed citations
11.
Harris, Richard A., Lauren C. Tindale, Olivia Singh, et al.. (2016). Aerobic Glycolysis in the Frontal Cortex Correlates with Memory Performance in Wild-Type Mice But Not the APP/PS1 Mouse Model of Cerebral Amyloidosis. Journal of Neuroscience. 36(6). 1871–1878. 78 indexed citations
12.
Harris, Richard A., Lauren C. Tindale, & Robert C. Cumming. (2014). Age-dependent metabolic dysregulation in cancer and Alzheimer’s disease. Biogerontology. 15(6). 559–577. 63 indexed citations
13.
14.
Schubert, David, et al.. (2011). Amyloid Beta Resistance in Nerve Cell Lines Is Mediated by the Warburg Effect. PLoS ONE. 6(4). e19191–e19191. 96 indexed citations
15.
Schubert, David, Federico Herrera, Robert C. Cumming, et al.. (2009). Neural cells secrete a unique repertoire of proteins. Journal of Neurochemistry. 109(2). 427–435. 21 indexed citations
16.
Cumming, Robert C.. (2008). Analysis of Global and Specific Changes in the Disulfide Proteome Using Redox 2D-PAGE. Methods in molecular biology. 476. 160–174. 9 indexed citations
17.
Cumming, Robert C., Anne Simonsen, & Kim D. Finley. (2008). Chapter Thirty‐Five Quantitative Analysis of Autophagic Activity in Drosophila Neural Tissues by Measuring the Turnover Rates of Pathway Substrates. Methods in enzymology on CD-ROM/Methods in enzymology. 451. 639–651. 16 indexed citations
18.
Cumming, Robert C., Richard Dargusch, Wolfgang Fischer, & David Schubert. (2007). Increase in Expression Levels and Resistance to Sulfhydryl Oxidation of Peroxiredoxin Isoforms in Amyloid β-Resistant Nerve Cells. Journal of Biological Chemistry. 282(42). 30523–30534. 54 indexed citations
19.
Cumming, Robert C., Nancy L. Andon, Paul A. Haynes, et al.. (2004). Protein Disulfide Bond Formation in the Cytoplasm during Oxidative Stress. Journal of Biological Chemistry. 279(21). 21749–21758. 386 indexed citations
20.
Soucek, Thomas, Robert C. Cumming, Richard Dargusch, Pamela Maher, & David Schubert. (2003). The Regulation of Glucose Metabolism by HIF-1 Mediates a Neuroprotective Response to Amyloid Beta Peptide. Neuron. 39(1). 43–56. 213 indexed citations

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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