Ira J. Smith

885 total citations
15 papers, 589 citations indexed

About

Ira J. Smith is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Ira J. Smith has authored 15 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Cell Biology. Recurrent topics in Ira J. Smith's work include Muscle Physiology and Disorders (10 papers), Adipose Tissue and Metabolism (7 papers) and Calpain Protease Function and Regulation (3 papers). Ira J. Smith is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Adipose Tissue and Metabolism (7 papers) and Calpain Protease Function and Regulation (3 papers). Ira J. Smith collaborates with scholars based in United States, Sweden and Italy. Ira J. Smith's co-authors include Zaira Aversa, Nima Alamdari, Per-Olof Hasselgren, Stephen Dodd, Stewart H. Lecker, Per-Olof J. Hasselgren, Patricia Gonnella, Patrick O’Neal, Victoria Petkova and Michael J. Menconi and has published in prestigious journals such as PLoS ONE, American Journal of Physiology-Endocrinology and Metabolism and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

In The Last Decade

Ira J. Smith

15 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ira J. Smith United States	12	356	235	159	105	69	15	589
Melanie Kny Germany	10	349 1.0×	176 0.7×	113 0.7×	55 0.5×	29 0.4×	14	615
Scott C. Hobler United States	9	323 0.9×	119 0.5×	148 0.9×	63 0.6×	48 0.7×	10	555
Arthur B. Williams United States	8	351 1.0×	167 0.7×	147 0.9×	68 0.6×	28 0.4×	8	515
Steven S. Welc United States	15	382 1.1×	354 1.5×	86 0.5×	259 2.5×	16 0.2×	26	762
Agnès Claustre France	14	473 1.3×	187 0.8×	161 1.0×	107 1.0×	11 0.2×	19	590
Sophie Ventadour France	6	461 1.3×	176 0.7×	182 1.1×	78 0.7×	19 0.3×	7	587
Frank W. Booth United States	12	502 1.4×	319 1.4×	185 1.2×	117 1.1×	14 0.2×	17	847
David E. Arnolds United States	12	607 1.7×	233 1.0×	116 0.7×	28 0.3×	13 0.2×	23	803
Donna M. D’Souza Canada	16	487 1.4×	391 1.7×	145 0.9×	130 1.2×	20 0.3×	20	757
Akira Wagatsuma Japan	13	352 1.0×	172 0.7×	69 0.4×	81 0.8×	12 0.2×	20	540

Countries citing papers authored by Ira J. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Ira J. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ira J. Smith. 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 Ira J. Smith. The network helps show where Ira J. Smith may publish in the future.

Co-authorship network of co-authors of Ira J. Smith

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

All Works

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15 of 15 papers shown

Lewis, Lauren, Kim M. Huffman, Ira J. Smith, et al.. (2018). Genetic Variation in Acid Ceramidase Predicts Non-completion of an Exercise Intervention. Frontiers in Physiology. 9. 781–781. 7 indexed citations

Smith, Ira J., Brandon M. Roberts, Adam W. Beharry, et al.. (2016). Janus kinase inhibition prevents cancer- and myocardial infarction-mediated diaphragm muscle weakness in mice. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 310(8). R707–R710. 9 indexed citations

Tang, Huibin, Ira J. Smith, Sabah N. A. Hussain, et al.. (2014). The JAK-STAT Pathway Is Critical in Ventilator-Induced Diaphragm Dysfunction. Molecular Medicine. 20(1). 579–589. 41 indexed citations

Li, Wěi, Annabelle M. Friera, John McLaughlin, et al.. (2014). Noninvasive Imaging of In Vivo MuRF1 Expression during Muscle Atrophy. PLoS ONE. 9(4). e94032–e94032. 3 indexed citations

Alamdari, Nima, Gianluca Toraldo, Zaira Aversa, et al.. (2012). Loss of muscle strength during sepsis is in part regulated by glucocorticoids and is associated with reduced muscle fiber stiffness. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 303(10). R1090–R1099. 24 indexed citations

Smith, Ira J., Zaira Aversa, Per‐Olof Hasselgren, et al.. (2011). CALPAIN activity is increased in skeletal muscle from gastric cancer patients with no or minimal weight loss. Muscle & Nerve. 43(3). 410–414. 40 indexed citations

Smith, Ira J., Nima Alamdari, Patrick O’Neal, et al.. (2010). Sepsis increases the expression and activity of the transcription factor Forkhead Box O 1 (FOXO1) in skeletal muscle by a glucocorticoid-dependent mechanism. The International Journal of Biochemistry & Cell Biology. 42(5). 701–711. 74 indexed citations

Hasselgren, Per-Olof J., et al.. (2010). Corticosteroids and muscle wasting: role of transcription factors, nuclear cofactors, and hyperacetylation. Current Opinion in Clinical Nutrition & Metabolic Care. 13(4). 423–428. 69 indexed citations

Smith, Ira J., Zaira Aversa, Nima Alamdari, Victoria Petkova, & Per-Olof J. Hasselgren. (2010). Sepsis downregulates myostatin mRNA levels without altering myostatin protein levels in skeletal muscle. Journal of Cellular Biochemistry. 111(4). 1059–1073. 28 indexed citations

10.

Menconi, Michael J., Zoltàn Arany, Nima Alamdari, et al.. (2010). Sepsis and glucocorticoids downregulate the expression of the nuclear cofactor PGC-1β in skeletal muscle. American Journal of Physiology-Endocrinology and Metabolism. 299(4). E533–E543. 26 indexed citations

11.

Alamdari, Nima, Ira J. Smith, Zaira Aversa, & Per-Olof J. Hasselgren. (2010). Sepsis and glucocorticoids upregulate p300 and downregulate HDAC6 expression and activity in skeletal muscle. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 299(2). R509–R520. 45 indexed citations

12.

O’Neal, Patrick, Nima Alamdari, Ira J. Smith, et al.. (2009). Experimental hyperthyroidism in rats increases the expression of the ubiquitin ligases atrogin‐1 and MuRF1 and stimulates multiple proteolytic pathways in skeletal muscle. Journal of Cellular Biochemistry. 108(4). 963–973. 16 indexed citations

13.

Smith, Ira J., Stewart H. Lecker, & Per-Olof Hasselgren. (2008). Calpain activity and muscle wasting in sepsis. American Journal of Physiology-Endocrinology and Metabolism. 295(4). E762–E771. 102 indexed citations

14.

Smith, Ira J., Kim M. Huffman, Michael T. Durheim, Brian D. Duscha, & William E. Kraus. (2008). Sex-specific alterations in mRNA level of key lipid metabolism enzymes in skeletal muscle of overweight and obese subjects following endurance exercise. Physiological Genomics. 36(3). 149–157. 13 indexed citations

15.

Smith, Ira J. & Stephen Dodd. (2007). Calpain activation causes a proteasome‐dependent increase in protein degradation and inhibits the Akt signalling pathway in rat diaphragm muscle. Experimental Physiology. 92(3). 561–573. 92 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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