Laura C. Graham

1.4k total citations · 1 hit paper
17 papers, 980 citations indexed

About

Laura C. Graham is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Laura C. Graham has authored 17 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Laura C. Graham's work include Mitochondrial Function and Pathology (4 papers), Alzheimer's disease research and treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Laura C. Graham is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Alzheimer's disease research and treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Laura C. Graham collaborates with scholars based in United Kingdom, United States and Netherlands. Laura C. Graham's co-authors include Thomas M. Wishart, Thomas H. Gillingwater, Maica Llavero Hurtado, Douglas J. Lamont, Samantha L. Eaton, Ross A. Jones, Carl Harrison, Andrew S. Gale, Martin W. Simmen and Christian Soeller and has published in prestigious journals such as Proceedings of the IEEE, Journal of Cell Science and PLoS Genetics.

In The Last Decade

Laura C. Graham

16 papers receiving 913 citations

Hit Papers

Synthetic interferometer ... 1974 2026 1991 2008 1974 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura C. Graham United Kingdom 12 414 360 182 148 129 17 980
Rob J. Dekker Netherlands 17 194 0.5× 1.2k 3.2× 77 0.4× 148 1.0× 77 0.6× 64 2.2k
John P. Kelly United States 20 214 0.5× 189 0.5× 119 0.7× 46 0.3× 54 0.4× 70 1.2k
Chang Luo China 25 38 0.1× 575 1.6× 67 0.4× 243 1.6× 44 0.3× 51 1.9k
Koji Kajiwara Japan 29 40 0.1× 584 1.6× 174 1.0× 64 0.4× 464 3.6× 169 2.4k
Luis A. Rivas Spain 19 40 0.1× 381 1.1× 23 0.1× 45 0.3× 164 1.3× 33 1.6k
Guido Novati Switzerland 8 267 0.6× 442 1.2× 30 0.2× 28 0.2× 15 0.1× 13 1.3k
Shaodong Zhang China 27 214 0.5× 241 0.7× 79 0.4× 1.4k 9.7× 17 0.1× 211 2.7k
Heikki Virtanen Finland 17 136 0.3× 107 0.3× 54 0.3× 14 0.1× 42 0.3× 87 919
Lu Ma China 20 139 0.3× 760 2.1× 41 0.2× 366 2.5× 5 0.0× 73 1.6k
Min Luo China 26 83 0.2× 407 1.1× 31 0.2× 58 0.4× 29 0.2× 91 1.9k

Countries citing papers authored by Laura C. Graham

Since Specialization
Citations

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

Fields of papers citing papers by Laura C. Graham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura C. Graham

This figure shows the co-authorship network connecting the top 25 collaborators of Laura C. Graham. A scholar is included among the top collaborators of Laura C. Graham 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 Laura C. Graham. Laura C. Graham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Edwards, Ruairidh, Rachel Kline, Laura C. Graham, et al.. (2022). The mitochondrial protein Sideroflexin 3 (SFXN3) influences neurodegeneration pathways in vivo. FEBS Journal. 289(13). 3894–3914. 10 indexed citations
2.
Graham, Laura C., Rachel Kline, Douglas J. Lamont, et al.. (2021). Temporal Profiling of the Cortical Synaptic Mitochondrial Proteome Identifies Ageing Associated Regulators of Stability. Cells. 10(12). 3403–3403. 2 indexed citations
3.
Graham, Laura C., Michael J. Naldrett, Steven G. Kohama, et al.. (2019). Regional Molecular Mapping of Primate Synapses during Normal Healthy Aging. Cell Reports. 27(4). 1018–1026.e4. 17 indexed citations
4.
Boyd, Penelope J, Hannah K. Shorrock, Ewout J. N. Groen, et al.. (2017). Bioenergetic status modulates motor neuron vulnerability and pathogenesis in a zebrafish model of spinal muscular atrophy. PLoS Genetics. 13(4). e1006744–e1006744. 72 indexed citations
5.
Jones, Ross A., Carl Harrison, Samantha L. Eaton, et al.. (2017). Cellular and Molecular Anatomy of the Human Neuromuscular Junction. Cell Reports. 21(9). 2348–2356. 168 indexed citations
6.
Graham, Laura C., Samantha L. Eaton, Paula J. Brunton, et al.. (2017). Proteomic profiling of neuronal mitochondria reveals modulators of synaptic architecture. Molecular Neurodegeneration. 12(1). 77–77. 47 indexed citations
7.
Amorim, Inês S., Laura C. Graham, Roderick N. Carter, et al.. (2017). Sideroflexin 3 is an α-synuclein-dependent mitochondrial protein that regulates synaptic morphology. Journal of Cell Science. 130(2). 325–331. 25 indexed citations
8.
Fuller, Heidi R., Laura C. Graham, Maica Llavero Hurtado, & Thomas M. Wishart. (2016). Understanding the molecular consequences of inherited muscular dystrophies: advancements through proteomic experimentation. Expert Review of Proteomics. 13(7). 659–671. 17 indexed citations
9.
McGorum, B. C., Samantha L. Eaton, John Keen, et al.. (2015). Proteomic Profiling of Cranial (Superior) Cervical Ganglia Reveals Beta-Amyloid and Ubiquitin Proteasome System Perturbations in an Equine Multiple System Neuropathy. Molecular & Cellular Proteomics. 14(11). 3072–3086. 10 indexed citations
10.
Eaton, Samantha L., Maica Llavero Hurtado, Karla J. Oldknow, et al.. (2014). A Guide to Modern Quantitative Fluorescent Western Blotting with Troubleshooting Strategies. Journal of Visualized Experiments. e52099–e52099. 39 indexed citations
11.
Eaton, Samantha L., Maica Llavero Hurtado, Karla J. Oldknow, et al.. (2014). A Guide to Modern Quantitative Fluorescent Western Blotting with Troubleshooting Strategies. Journal of Visualized Experiments. 25 indexed citations
12.
Hunter, Gillian, Douglas J. Lamont, Maica Llavero Hurtado, et al.. (2014). Label-Free Quantitative Proteomic Profiling Identifies Disruption of Ubiquitin Homeostasis As a Key Driver of Schwann Cell Defects in Spinal Muscular Atrophy. Journal of Proteome Research. 13(11). 4546–4557. 38 indexed citations
13.
Ögmundsdóttir, Helga M., et al.. (1978). THE ROLE OF CELL WALL CARBOHYDRATES IN BINDING OF MICROORGANISMS TO MOUSE PERITONEAL EXUDATE MACROPHAGES. Acta Pathologica Microbiologica Scandinavica Section B Microbiology. 86B(1-6). 53–58. 34 indexed citations
14.
Graham, Laura C., et al.. (1977). Side-Looking Airborne Radar. Scientific American. 237(4). 84–95. 26 indexed citations
15.
Graham, Laura C.. (1976). <title>Exploitation Of Synthetic Aperture Radar Imagery</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 79. 107–116.
16.
Graham, Laura C.. (1975). Flight planning for stereo radar mapping. Photogrammetric Engineering & Remote Sensing. 41(9). 1131–1138. 6 indexed citations
17.
Graham, Laura C.. (1974). Synthetic interferometer radar for topographic mapping. Proceedings of the IEEE. 62(6). 763–768. 444 indexed citations breakdown →

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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