C. V. Jurasinski

540 total citations
9 papers, 472 citations indexed

About

C. V. Jurasinski is a scholar working on Molecular Biology, Cell Biology and Nutrition and Dietetics. According to data from OpenAlex, C. V. Jurasinski has authored 9 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Nutrition and Dietetics. Recurrent topics in C. V. Jurasinski's work include Muscle metabolism and nutrition (4 papers), Clinical Nutrition and Gastroenterology (2 papers) and Muscle Physiology and Disorders (2 papers). C. V. Jurasinski is often cited by papers focused on Muscle metabolism and nutrition (4 papers), Clinical Nutrition and Gastroenterology (2 papers) and Muscle Physiology and Disorders (2 papers). C. V. Jurasinski collaborates with scholars based in United States. C. V. Jurasinski's co-authors include Thomas C. Vary, John C. Lawrence, Leonard S. Jefferson, Scot R. Kimball, Scot R. Kimball, Laurie E. Kilpatrick, Cara‐Lynne Schengrund, Erich Lieth, An Dang and Anne M. Karinch and has published in prestigious journals such as American Journal of Physiology-Endocrinology and Metabolism, American Journal of Physiology-Cell Physiology and Metabolism.

In The Last Decade

C. V. Jurasinski

9 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. V. Jurasinski United States	9	263	180	117	59	45	9	472
Marianne Hall-Angerås United States	10	235 0.9×	186 1.0×	136 1.2×	53 0.9×	72 1.6×	15	476
K Jostarndt Switzerland	8	199 0.8×	91 0.5×	121 1.0×	111 1.9×	18 0.4×	10	390
Melanie Kny Germany	10	349 1.3×	113 0.6×	176 1.5×	18 0.3×	54 1.2×	14	615
Arthur B. Williams United States	8	351 1.3×	147 0.8×	167 1.4×	19 0.3×	29 0.6×	8	515
Ira J. Smith United States	12	356 1.4×	159 0.9×	235 2.0×	21 0.4×	32 0.7×	15	589
Patrick J. Ferrara United States	14	248 0.9×	77 0.4×	222 1.9×	16 0.3×	18 0.4×	27	427
Cynthia M. F. Monaco Canada	12	257 1.0×	69 0.4×	253 2.2×	89 1.5×	13 0.3×	17	470
L. Voisin France	7	247 0.9×	127 0.7×	89 0.8×	14 0.2×	32 0.7×	7	364
Cristina M. Zingaretti Italy	6	249 0.9×	55 0.3×	382 3.3×	27 0.5×	24 0.5×	6	594
Anna Rune Sweden	6	509 1.9×	64 0.4×	320 2.7×	85 1.4×	18 0.4×	6	728

Countries citing papers authored by C. V. Jurasinski

Since Specialization

Citations

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

Fields of papers citing papers by C. V. Jurasinski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. V. Jurasinski

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

All Works

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9 of 9 papers shown

Jurasinski, C. V., Erich Lieth, An Dang, & Cara‐Lynne Schengrund. (2001). Correlation of cleavage of SNAP-25 with muscle function in a rat model of Botulinum neurotoxin type A induced paralysis. Toxicon. 39(9). 1309–1315. 36 indexed citations

Vary, Thomas C., C. V. Jurasinski, & Scot R. Kimball. (1998). Reduced 40S initiation complex formation in skeletal muscle during sepsis. Molecular and Cellular Biochemistry. 178(1-2). 81–86. 20 indexed citations

Kimball, Scot R., C. V. Jurasinski, John C. Lawrence, & Leonard S. Jefferson. (1997). Insulin stimulates protein synthesis in skeletal muscle by enhancing the association of eIF-4E and eIF-4G. American Journal of Physiology-Cell Physiology. 272(2). C754–C759. 158 indexed citations

Jurasinski, C. V., et al.. (1995). Modulation of skeletal muscle protein synthesis by amino acids and insulin during sepsis. Metabolism. 44(9). 1130–1138. 50 indexed citations

Jurasinski, C. V., Laurie E. Kilpatrick, & Thomas C. Vary. (1995). Amrinone prevents muscle protein wasting during chronic sepsis. American Journal of Physiology-Endocrinology and Metabolism. 268(3). E491–E500. 42 indexed citations

Jurasinski, C. V., et al.. (1995). Mechanisms regulating skeletal muscle glucose metabolism in sepsis.. PubMed. 3(6). 403–10. 36 indexed citations

Jurasinski, C. V. & Thomas C. Vary. (1995). Insulin-like growth factor I accelerates protein synthesis in skeletal muscle during sepsis. American Journal of Physiology-Endocrinology and Metabolism. 269(5). E977–E981. 60 indexed citations

Cooney, Robert N., et al.. (1994). Interleukin-1 receptor antagonist prevents sepsis-induced inhibition of protein synthesis. American Journal of Physiology-Endocrinology and Metabolism. 267(5). E636–E641. 38 indexed citations

Vary, Thomas C., C. V. Jurasinski, Anne M. Karinch, & Scot R. Kimball. (1994). Regulation of eukaryotic initiation factor-2 expression during sepsis. American Journal of Physiology-Endocrinology and Metabolism. 266(2). E193–E201. 32 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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