Julie A. Buckingham

4.5k total citations · 1 hit paper
15 papers, 3.2k citations indexed

About

Julie A. Buckingham is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Julie A. Buckingham has authored 15 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 12 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Julie A. Buckingham's work include Adipose Tissue and Metabolism (13 papers), Mitochondrial Function and Pathology (12 papers) and Muscle metabolism and nutrition (4 papers). Julie A. Buckingham is often cited by papers focused on Adipose Tissue and Metabolism (13 papers), Mitochondrial Function and Pathology (12 papers) and Muscle metabolism and nutrition (4 papers). Julie A. Buckingham collaborates with scholars based in United Kingdom, France and United States. Julie A. Buckingham's co-authors include Martin D. Brand, Julie St‐Pierre, Adrian J. Lambert, Susana Cadenas, Karim S. Echtay, Michael G. Clark, David F. S. Rolfe, John Newman, Ana Tenreiro and A. J. Hulbert and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and The FASEB Journal.

In The Last Decade

Julie A. Buckingham

15 papers receiving 3.1k citations

Hit Papers

Topology of Superoxide Production from Different Sites in... 2002 2026 2010 2018 2002 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julie A. Buckingham United Kingdom 15 2.0k 1.6k 419 338 247 15 3.2k
David J. Marcinek United States 37 2.7k 1.4× 1.3k 0.8× 431 1.0× 417 1.2× 258 1.0× 102 4.7k
Karim S. Echtay United Kingdom 24 2.8k 1.4× 2.7k 1.7× 660 1.6× 147 0.4× 131 0.5× 34 4.3k
Adrian J. Lambert United Kingdom 16 1.9k 1.0× 1.1k 0.7× 180 0.4× 150 0.4× 332 1.3× 16 2.9k
Marı́a Monsalve Spain 33 2.7k 1.4× 1.3k 0.8× 219 0.5× 212 0.6× 157 0.6× 66 4.6k
Martin Hey‐Mogensen Denmark 18 1.8k 0.9× 1.3k 0.8× 465 1.1× 116 0.3× 71 0.3× 22 3.0k
Richard K. Porter Ireland 25 1.2k 0.6× 1.2k 0.7× 275 0.7× 344 1.0× 71 0.3× 69 2.2k
Mika B. Jekabsons United States 23 1.9k 1.0× 1.6k 1.0× 425 1.0× 98 0.3× 63 0.3× 38 3.0k
Asish R. Chaudhuri United States 21 1.4k 0.7× 763 0.5× 295 0.7× 146 0.4× 627 2.5× 43 2.5k
Jason R. Treberg Canada 28 1.9k 1.0× 827 0.5× 170 0.4× 899 2.7× 131 0.5× 77 3.7k
Mónica Lopez‐Torres Spain 34 1.5k 0.8× 1.4k 0.8× 148 0.4× 305 0.9× 918 3.7× 63 3.4k

Countries citing papers authored by Julie A. Buckingham

Since Specialization
Citations

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

Fields of papers citing papers by Julie A. Buckingham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julie A. Buckingham. 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 Julie A. Buckingham. The network helps show where Julie A. Buckingham may publish in the future.

Co-authorship network of co-authors of Julie A. Buckingham

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

All Works

15 of 15 papers shown
2.
Lambert, Adrian J., Julie A. Buckingham, & Martin D. Brand. (2008). Dissociation of superoxide production by mitochondrial complex I from NAD(P)H redox state. FEBS Letters. 582(12). 1711–1714. 32 indexed citations
3.
Lambert, Adrian J., et al.. (2008). Diphenyleneiodonium acutely inhibits reactive oxygen species production by mitochondrial complex I during reverse, but not forward electron transport. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1777(5). 397–403. 94 indexed citations
4.
Lambert, Adrian J., Julie A. Buckingham, Ting Yang, et al.. (2007). Low rates of hydrogen peroxide production by isolated heart mitochondria associate with long maximum lifespan in vertebrate homeotherms. Aging Cell. 6(5). 607–618. 206 indexed citations
5.
Jastroch, Martin, Julie A. Buckingham, Michael Helwig, Martin Klingenspor, & Martin D. Brand. (2007). Functional characterisation of UCP1 in the common carp: uncoupling activity in liver mitochondria and cold-induced expression in the brain. Journal of Comparative Physiology B. 177(7). 743–752. 68 indexed citations
6.
Brand, Martin D., Julie A. Buckingham, Telma C. Esteves, et al.. (2004). Mitochondrial superoxide and aging: uncoupling-protein activity and superoxide production. Biochemical Society Symposia. 71(71). 203–213. 151 indexed citations
7.
Murphy, Michael P., Karim S. Echtay, Frances H. Blaikie, et al.. (2003). Superoxide Activates Uncoupling Proteins by Generating Carbon-centered Radicals and Initiating Lipid Peroxidation. Journal of Biological Chemistry. 278(49). 48534–48545. 264 indexed citations
8.
Cadenas, Susana, Karim S. Echtay, James A. Harper, et al.. (2002). The Basal Proton Conductance of Skeletal Muscle Mitochondria from Transgenic Mice Overexpressing or Lacking Uncoupling Protein-3. Journal of Biological Chemistry. 277(4). 2773–2778. 177 indexed citations
9.
St‐Pierre, Julie, et al.. (2002). Topology of Superoxide Production from Different Sites in the Mitochondrial Electron Transport Chain. Journal of Biological Chemistry. 277(47). 44784–44790. 1237 indexed citations breakdown →
10.
Brand, Martin D., Reinald Pamplona, Manuel Portero-Otı́n, et al.. (2002). Oxidative damage and phospholipid fatty acyl composition in skeletal muscle mitochondria from mice underexpressing or overexpressing uncoupling protein 3. Biochemical Journal. 368(2). 597–603. 162 indexed citations
11.
Cadenas, Susana, Julie A. Buckingham, Julie St‐Pierre, et al.. (2000). AMP decreases the efficiency of skeletal-muscle mitochondria. Biochemical Journal. 351(2). 307–311. 50 indexed citations
12.
Guppy, M., David C. Reeves, Tammie Bishop, et al.. (2000). Intrinsic metabolic depression in cells isolated from the hepatopancreas of estivating snails. The FASEB Journal. 14(7). 999–1004. 32 indexed citations
13.
Cadenas, Susana, Julie A. Buckingham, Sonia Samec, et al.. (1999). UCP2 and UCP3 rise in starved rat skeletal muscle but mitochondrial proton conductance is unchanged. FEBS Letters. 462(3). 257–260. 202 indexed citations
14.
Rolfe, David F. S., John Newman, Julie A. Buckingham, Michael G. Clark, & Martin D. Brand. (1999). Contribution of mitochondrial proton leak to respiration rate in working skeletal muscle and liver and to SMR. American Journal of Physiology-Cell Physiology. 276(3). C692–C699. 238 indexed citations
15.
Brookes, Paul S., Julie A. Buckingham, Ana Tenreiro, A. J. Hulbert, & Martin D. Brand. (1998). The Proton Permeability of the Inner Membrane of Liver Mitochondria from Ectothermic and Endothermic Vertebrates and from Obese Rats: Correlations with Standard Metabolic Rate and Phospholipid Fatty Acid Composition. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 119(2). 325–334. 201 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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