Steven C. Pohnert

1.9k total citations · 2 hit papers
8 papers, 1.5k citations indexed

About

Steven C. Pohnert is a scholar working on Molecular Biology, Organic Chemistry and Physiology. According to data from OpenAlex, Steven C. Pohnert has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Physiology. Recurrent topics in Steven C. Pohnert's work include Metabolism, Diabetes, and Cancer (3 papers), Cell death mechanisms and regulation (2 papers) and Muscle Physiology and Disorders (2 papers). Steven C. Pohnert is often cited by papers focused on Metabolism, Diabetes, and Cancer (3 papers), Cell death mechanisms and regulation (2 papers) and Muscle Physiology and Disorders (2 papers). Steven C. Pohnert collaborates with scholars based in United States and Italy. Steven C. Pohnert's co-authors include James A. McCubrey, Richard A. Franklin, Linda S. Steelman, J G Shelton, F. E. Bertrand, Mei Zhang, Paul B. Rosenberg, Takayuki Akimoto, R. Sanders Williams and Zhen Yan and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Journal of Applied Physiology.

In The Last Decade

Steven C. Pohnert

8 papers receiving 1.5k citations

Hit Papers

Exercise Stimulates Pgc-1α Transcription in Skeletal Musc... 2004 2026 2011 2018 2005 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven C. Pohnert United States 8 1.0k 552 266 200 193 8 1.5k
Ji Suk Chang United States 17 906 0.9× 485 0.9× 235 0.9× 83 0.4× 228 1.2× 35 1.4k
Susan Gray United States 19 1.4k 1.4× 427 0.8× 89 0.3× 83 0.4× 213 1.1× 21 2.1k
John Rediske United States 17 490 0.5× 467 0.8× 72 0.3× 231 1.2× 91 0.5× 28 1.9k
Xudong Liao United States 17 1.3k 1.3× 219 0.4× 86 0.3× 154 0.8× 94 0.5× 21 2.1k
Roger W. Hunter United Kingdom 18 941 0.9× 285 0.5× 145 0.5× 82 0.4× 105 0.5× 24 1.4k
Gaëlle Laurent United States 13 1.3k 1.2× 551 1.0× 70 0.3× 207 1.0× 116 0.6× 15 2.0k
Lynn Cheatham United States 9 1.6k 1.6× 262 0.5× 63 0.2× 232 1.2× 273 1.4× 16 2.1k
Shuchen Gu China 19 619 0.6× 346 0.6× 54 0.2× 114 0.6× 92 0.5× 47 1.2k
Nikolay Patrushev United States 14 1.0k 1.0× 484 0.9× 39 0.1× 105 0.5× 219 1.1× 15 1.7k
Margaret A. Lawlor United Kingdom 8 1.3k 1.2× 135 0.2× 41 0.2× 204 1.0× 150 0.8× 10 1.6k

Countries citing papers authored by Steven C. Pohnert

Since Specialization
Citations

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

Fields of papers citing papers by Steven C. Pohnert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven C. Pohnert

This figure shows the co-authorship network connecting the top 25 collaborators of Steven C. Pohnert. A scholar is included among the top collaborators of Steven C. Pohnert 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 C. Pohnert. Steven C. Pohnert 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.
Akimoto, Takayuki, Steven C. Pohnert, Ping Li, et al.. (2005). Exercise Stimulates Pgc-1α Transcription in Skeletal Muscle through Activation of the p38 MAPK Pathway. Journal of Biological Chemistry. 280(20). 19587–19593. 568 indexed citations breakdown →
2.
Fluckey, James D., Ronald N. Cortright, Edward B. Tapscott, et al.. (2004). Active involvement of PKC for insulin-mediated rates of muscle protein synthesis in Zucker rats. American Journal of Physiology-Endocrinology and Metabolism. 286(5). E753–E758. 8 indexed citations
3.
Steelman, Linda S., Steven C. Pohnert, J G Shelton, et al.. (2004). JAK/STAT, Raf/MEK/ERK, PI3K/Akt and BCR-ABL in cell cycle progression and leukemogenesis. Leukemia. 18(2). 189–218. 555 indexed citations breakdown →
4.
Shelton, John G., Linda S. Steelman, John Tayu Lee, et al.. (2003). Effects of the RAF/MEK/ERK and PI3K/AKT signal transduction pathways on the abrogation of cytokine-dependence and prevention of apoptosis in hematopoietic cells. Oncogene. 22(16). 2478–2492. 78 indexed citations
5.
McCubrey, James A., Linda S. Steelman, William L. Blalock, et al.. (2001). Synergistic effects of pi3k/akt on abrogation of cytokine-dependency induced by oncogenic raf. Advances in Enzyme Regulation. 41(1). 289–323. 20 indexed citations
6.
Zheng, Donghai, Paul S. MacLean, Steven C. Pohnert, et al.. (2001). Regulation of muscle GLUT-4 transcription by AMP-activated protein kinase. Journal of Applied Physiology. 91(3). 1073–1083. 232 indexed citations
7.
McCubrey, James A., Linda S. Steelman, William L. Blalock, et al.. (2001). Interactions between the PI3K and Raf signaling pathways can result in the transformation of hematopoietic cells.. PubMed. 25(4). 375–93. 55 indexed citations
8.
Fluckey, James D., et al.. (2000). Insulin stimulation of muscle protein synthesis in obese Zucker rats is not via a rapamycin-sensitive pathway. American Journal of Physiology-Endocrinology and Metabolism. 279(1). E182–E187. 23 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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