Shane E. Kruse

2.3k total citations
16 papers, 1.8k citations indexed

About

Shane E. Kruse is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shane E. Kruse has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shane E. Kruse's work include Mitochondrial Function and Pathology (12 papers), ATP Synthase and ATPases Research (3 papers) and Adipose Tissue and Metabolism (3 papers). Shane E. Kruse is often cited by papers focused on Mitochondrial Function and Pathology (12 papers), ATP Synthase and ATPases Research (3 papers) and Adipose Tissue and Metabolism (3 papers). Shane E. Kruse collaborates with scholars based in United States, Australia and France. Shane E. Kruse's co-authors include Richard D. Palmiter, David J. Marcinek, Raj P. Kapur, Albert Quintana, Won-Seok Choi, Zhengui Xia, W. C. Watt, Kenneth A. Schenkman, Elisenda Sanz and Peter S. Rabinovitch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Shane E. Kruse

16 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shane E. Kruse United States 15 1.3k 449 344 260 189 16 1.8k
Andrew B. Knott United States 9 1.2k 1.0× 460 1.0× 226 0.7× 400 1.5× 229 1.2× 10 1.7k
Alexei P. Kudin Germany 24 1.5k 1.2× 446 1.0× 430 1.3× 711 2.7× 228 1.2× 33 2.3k
Simon J.R. Heales United Kingdom 18 828 0.7× 481 1.1× 229 0.7× 389 1.5× 179 0.9× 25 1.7k
Elisa Motori Germany 22 1.3k 1.1× 341 0.8× 283 0.8× 367 1.4× 184 1.0× 31 2.0k
Magdalena Zielińska Poland 23 598 0.5× 371 0.8× 243 0.7× 514 2.0× 97 0.5× 71 1.7k
Pinelis Vg Russia 23 875 0.7× 288 0.6× 124 0.4× 562 2.2× 140 0.7× 136 1.6k
Isaac G. Onyango United States 19 822 0.6× 674 1.5× 129 0.4× 220 0.8× 205 1.1× 32 1.6k
J. B. Clark United Kingdom 18 1.1k 0.9× 955 2.1× 196 0.6× 401 1.5× 170 0.9× 25 2.0k
Ashu Johri United States 11 916 0.7× 400 0.9× 118 0.3× 452 1.7× 252 1.3× 12 1.3k
S Peuchen United Kingdom 11 991 0.8× 722 1.6× 142 0.4× 459 1.8× 201 1.1× 20 1.8k

Countries citing papers authored by Shane E. Kruse

Since Specialization
Citations

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

Fields of papers citing papers by Shane E. Kruse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shane E. Kruse. 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 Shane E. Kruse. The network helps show where Shane E. Kruse may publish in the future.

Co-authorship network of co-authors of Shane E. Kruse

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

All Works

16 of 16 papers shown
1.
Schweppe, Devin K., Juan D. Chavez, Chi Fung Lee, et al.. (2017). Mitochondrial protein interactome elucidated by chemical cross-linking mass spectrometry. Proceedings of the National Academy of Sciences. 114(7). 1732–1737. 143 indexed citations
2.
Yeh, Andrew, Shane E. Kruse, David J. Marcinek, & Evan P. Gallagher. (2015). Effect of omega-3 fatty acid oxidation products on the cellular and mitochondrial toxicity of BDE 47. Toxicology in Vitro. 29(4). 672–680. 17 indexed citations
3.
Karunadharma, Pabalu P., Nathan Basisty, Ying Ann Chiao, et al.. (2015). Respiratory chain protein turnover rates in mice are highly heterogeneous but strikingly conserved across tissues, ages, and treatments. The FASEB Journal. 29(8). 3582–3592. 57 indexed citations
4.
Kruse, Shane E., Pabalu P. Karunadharma, Nathan Basisty, et al.. (2015). Age modifies respiratory complex I and protein homeostasis in a muscle type‐specific manner. Aging Cell. 15(1). 89–99. 59 indexed citations
5.
Siegel, Michael, Shane E. Kruse, Justin M. Percival, et al.. (2013). Mitochondrial-targeted peptide rapidly improves mitochondrial energetics and skeletal muscle performance in aged mice. Aging Cell. 12(5). 763–771. 147 indexed citations
6.
Quintana, Albert, Philip G. Morgan, Shane E. Kruse, Richard D. Palmiter, & Margaret M. Sedensky. (2012). Altered Anesthetic Sensitivity of Mice Lacking Ndufs4, a Subunit of Mitochondrial Complex I. PLoS ONE. 7(8). e42904–e42904. 54 indexed citations
7.
Leuner, Kristina, Tanja Schütt, Christopher Kurz, et al.. (2012). Mitochondrion-Derived Reactive Oxygen Species Lead to Enhanced Amyloid Beta Formation. Antioxidants and Redox Signaling. 16(12). 1421–1433. 278 indexed citations
8.
Quintana, Albert, Sébastien Zanella, Henner Koch, et al.. (2012). Fatal breathing dysfunction in a mouse model of Leigh syndrome. Journal of Clinical Investigation. 122(7). 2359–2368. 91 indexed citations
9.
Siegel, Michael, Shane E. Kruse, Gary Knowels, et al.. (2011). Reduced Coupling of Oxidative Phosphorylation In Vivo Precedes Electron Transport Chain Defects Due to Mild Oxidative Stress in Mice. PLoS ONE. 6(11). e26963–e26963. 40 indexed citations
10.
Calvaruso, Maria Antonietta, Peter H.G.M. Willems, Michiel van den Brand, et al.. (2011). Mitochondrial complex III stabilizes complex I in the absence of NDUFS4 to provide partial activity. Human Molecular Genetics. 21(1). 115–120. 99 indexed citations
11.
Quintana, Albert, Shane E. Kruse, Raj P. Kapur, Elisenda Sanz, & Richard D. Palmiter. (2010). Complex I deficiency due to loss of Ndufs4 in the brain results in progressive encephalopathy resembling Leigh syndrome. Proceedings of the National Academy of Sciences. 107(24). 10996–11001. 197 indexed citations
12.
Choi, Won-Seok, Shane E. Kruse, Richard D. Palmiter, & Zhengui Xia. (2008). Mitochondrial complex I inhibition is not required for dopaminergic neuron death induced by rotenone, MPP + , or paraquat. Proceedings of the National Academy of Sciences. 105(39). 15136–15141. 211 indexed citations
13.
Kruse, Shane E., W. C. Watt, David J. Marcinek, et al.. (2008). Mice with Mitochondrial Complex I Deficiency Develop a Fatal Encephalomyopathy. Cell Metabolism. 7(4). 312–320. 303 indexed citations
14.
Mavel, Sylvie, Stanley M. Parsons, Shane E. Kruse, et al.. (2006). Synthesis and in vitro evaluation of N-substituted aza-trozamicol analogs as vesicular acetylcholine transporter ligands. Bioorganic & Medicinal Chemistry Letters. 16(10). 2654–2657. 6 indexed citations
15.
Zea‐Ponce, Yolanda, Sylvie Mavel, Shane E. Kruse, et al.. (2004). Synthesis and in vitro evaluation of new benzovesamicol analogues as potential imaging probes for the vesicular acetylcholine transporter. Bioorganic & Medicinal Chemistry. 13(3). 745–753. 33 indexed citations
16.
Kennedy, John W., Tom D. Ivey, Gregory A. Misbach, et al.. (1989). Coronary artery bypass graft surgery early after acute myocardial infarction.. PubMed. 79(6 Pt 2). I73–8. 30 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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