Steven D. Kunkel

1.2k total citations
8 papers, 963 citations indexed

About

Steven D. Kunkel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Steven D. Kunkel has authored 8 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Physiology. Recurrent topics in Steven D. Kunkel's work include Muscle Physiology and Disorders (7 papers), Adipose Tissue and Metabolism (3 papers) and Genetic Neurodegenerative Diseases (3 papers). Steven D. Kunkel is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Adipose Tissue and Metabolism (3 papers) and Genetic Neurodegenerative Diseases (3 papers). Steven D. Kunkel collaborates with scholars based in United States. Steven D. Kunkel's co-authors include Kale S. Bongers, Daniel K. Fox, Scott M. Ebert, Christopher M. Adams, Steven A. Bullard, Michael C. Dyle, Jason M. Dierdorff, Richard K. Shields, Manish Suneja and Fariborz Alipour and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cell Metabolism.

In The Last Decade

Steven D. Kunkel

8 papers receiving 949 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven D. Kunkel United States 7 707 316 168 111 94 8 963
Michael C. Dyle United States 15 762 1.1× 314 1.0× 184 1.1× 104 0.9× 106 1.1× 17 1.0k
Teruhiko Shimokawa Japan 18 1.1k 1.6× 902 2.9× 179 1.1× 85 0.8× 166 1.8× 33 1.9k
Eili Tranheim Kase Norway 22 661 0.9× 581 1.8× 259 1.5× 117 1.1× 126 1.3× 51 1.3k
Christian Pehmøller Denmark 15 1.1k 1.6× 862 2.7× 308 1.8× 111 1.0× 176 1.9× 19 1.6k
Edward B. Arias United States 22 1.3k 1.9× 1.1k 3.6× 276 1.6× 65 0.6× 205 2.2× 66 2.1k
Huei‐Fen Jheng Japan 14 607 0.9× 481 1.5× 89 0.5× 28 0.3× 220 2.3× 24 997
Warren E. Hochfeld United Kingdom 8 387 0.5× 336 1.1× 130 0.8× 13 0.1× 384 4.1× 8 970
Miki Tadaishi Japan 14 354 0.5× 348 1.1× 136 0.8× 66 0.6× 64 0.7× 27 688
Valério Farfariello Italy 22 548 0.8× 184 0.6× 84 0.5× 12 0.1× 134 1.4× 37 1.3k
Omorodola I. Abatan United States 11 206 0.3× 472 1.5× 185 1.1× 26 0.2× 29 0.3× 13 1.0k

Countries citing papers authored by Steven D. Kunkel

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Kunkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven D. Kunkel. 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 Steven D. Kunkel. The network helps show where Steven D. Kunkel may publish in the future.

Co-authorship network of co-authors of Steven D. Kunkel

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

All Works

8 of 8 papers shown
1.
Dyle, Michael C., Scott M. Ebert, Daniel P. Cook, et al.. (2014). Systems-based Discovery of Tomatidine as a Natural Small Molecule Inhibitor of Skeletal Muscle Atrophy. Journal of Biological Chemistry. 289(21). 14913–14924. 105 indexed citations
2.
Fox, Daniel K., Scott M. Ebert, Kale S. Bongers, et al.. (2014). p53 and ATF4 mediate distinct and additive pathways to skeletal muscle atrophy during limb immobilization. American Journal of Physiology-Endocrinology and Metabolism. 307(3). E245–E261. 91 indexed citations
3.
Bongers, Kale S., Daniel K. Fox, Steven D. Kunkel, et al.. (2014). Spermine oxidase maintains basal skeletal muscle gene expression and fiber size and is strongly repressed by conditions that cause skeletal muscle atrophy. American Journal of Physiology-Endocrinology and Metabolism. 308(2). E144–E158. 47 indexed citations
4.
Bongers, Kale S., Daniel K. Fox, Scott M. Ebert, et al.. (2013). Skeletal muscle denervation causes skeletal muscle atrophy through a pathway that involves both Gadd45a and HDAC4. American Journal of Physiology-Endocrinology and Metabolism. 305(7). E907–E915. 112 indexed citations
5.
Ebert, Scott M., Michael C. Dyle, Steven D. Kunkel, et al.. (2012). Stress-induced Skeletal Muscle Gadd45a Expression Reprograms Myonuclei and Causes Muscle Atrophy. Journal of Biological Chemistry. 287(33). 27290–27301. 166 indexed citations
6.
Kunkel, Steven D., Christopher Elmore, Kale S. Bongers, et al.. (2012). Ursolic Acid Increases Skeletal Muscle and Brown Fat and Decreases Diet-Induced Obesity, Glucose Intolerance and Fatty Liver Disease. PLoS ONE. 7(6). e39332–e39332. 171 indexed citations
7.
Kunkel, Steven D., Manish Suneja, Scott M. Ebert, et al.. (2012). mRNA Expression Signatures of Human Skeletal Muscle Atrophy Identify a Natural Compound that Increases Muscle Mass. The FASEB Journal. 26(S1). 2 indexed citations
8.
Kunkel, Steven D., Manish Suneja, Scott M. Ebert, et al.. (2011). mRNA Expression Signatures of Human Skeletal Muscle Atrophy Identify a Natural Compound that Increases Muscle Mass. Cell Metabolism. 13(6). 627–638. 269 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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