John K. Eash

1.0k total citations
9 papers, 603 citations indexed

About

John K. Eash is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, John K. Eash has authored 9 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in John K. Eash's work include Muscle Physiology and Disorders (6 papers), Muscle metabolism and nutrition (4 papers) and Genetic Neurodegenerative Diseases (3 papers). John K. Eash is often cited by papers focused on Muscle Physiology and Disorders (6 papers), Muscle metabolism and nutrition (4 papers) and Genetic Neurodegenerative Diseases (3 papers). John K. Eash collaborates with scholars based in United States, Switzerland and Russia. John K. Eash's co-authors include David J. Glass, Chikwendu Ibebunjo, Liqing Luo, Jun Shi, Tea Shavlakadze, Qicheng Ma, Weihua Zhou, Sharon X. Wang, David E. Gerrard and Giselle A. Joseph and has published in prestigious journals such as Molecular and Cellular Biology, Developmental Cell and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

John K. Eash

9 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John K. Eash United States	8	432	181	173	85	57	9	603
Shuaib Latif United States	10	613 1.4×	70 0.4×	138 0.8×	47 0.6×	81 1.4×	10	798
Zaheer A. Rana Norway	9	370 0.9×	164 0.9×	122 0.7×	39 0.5×	14 0.2×	9	549
Aurore L’honoré France	14	655 1.5×	108 0.6×	62 0.4×	60 0.7×	29 0.5×	17	777
Huibin Tang United States	15	541 1.3×	101 0.6×	98 0.6×	105 1.2×	71 1.2×	23	812
Lynn Rowley Australia	16	325 0.8×	113 0.6×	93 0.5×	116 1.4×	17 0.3×	20	818
Maryline Favier France	10	341 0.8×	124 0.7×	56 0.3×	29 0.3×	43 0.8×	14	509
Liam C. Hunt United States	17	415 1.0×	158 0.9×	125 0.7×	23 0.3×	73 1.3×	25	588
Benjamin D. Canan United States	15	559 1.3×	101 0.6×	80 0.5×	34 0.4×	27 0.5×	30	812
Sabrina Batonnet‐Pichon France	12	636 1.5×	183 1.0×	276 1.6×	25 0.3×	58 1.0×	19	774
Mônica Senna Salerno New Zealand	8	430 1.0×	251 1.4×	124 0.7×	35 0.4×	24 0.4×	11	576

Countries citing papers authored by John K. Eash

Since Specialization

Citations

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

Fields of papers citing papers by John K. Eash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John K. Eash. 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 John K. Eash. The network helps show where John K. Eash may publish in the future.

Co-authorship network of co-authors of John K. Eash

This figure shows the co-authorship network connecting the top 25 collaborators of John K. Eash. A scholar is included among the top collaborators of John K. Eash 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 John K. Eash. John K. Eash 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

Solovyeva, Elizaveta M., Chikwendu Ibebunjo, John K. Eash, et al.. (2021). New insights into molecular changes in skeletal muscle aging and disease: Differential alternative splicing and senescence. Mechanisms of Ageing and Development. 197. 111510–111510. 23 indexed citations

Joseph, Giselle A., Sharon X. Wang, Weihua Zhou, et al.. (2019). Partial Inhibition of mTORC1 in Aged Rats Counteracts the Decline in Muscle Mass and Reverses Molecular Signaling Associated with Sarcopenia. Molecular and Cellular Biology. 39(19). 112 indexed citations

Li, Zhizhong, Jason A. Gilbert, Yunyu Zhang, et al.. (2013). An HMGA2-IGF2BP2 Axis Regulates Myoblast Proliferation and Myogenesis. Developmental Cell. 24(1). 112–112. 1 indexed citations

Li, Zhizhong, Jason A. Gilbert, Yunyu Zhang, et al.. (2012). An HMGA2-IGF2BP2 Axis Regulates Myoblast Proliferation and Myogenesis. Developmental Cell. 23(6). 1176–1188. 134 indexed citations

Fetalvero, Kristina M., Guiqing Liang, Reginald Valdez, et al.. (2012). Defective Autophagy and mTORC1 Signaling in Myotubularin Null Mice. Molecular and Cellular Biology. 33(1). 98–110. 72 indexed citations

Shi, Jun, Liqing Luo, John K. Eash, Chikwendu Ibebunjo, & David J. Glass. (2011). The SCF-Fbxo40 Complex Induces IRS1 Ubiquitination in Skeletal Muscle, Limiting IGF1 Signaling. Developmental Cell. 21(5). 835–847. 119 indexed citations

Ibebunjo, Chikwendu, et al.. (2010). Voluntary running, skeletal muscle gene expression, and signaling inversely regulated by orchidectomy and testosterone replacement. American Journal of Physiology-Endocrinology and Metabolism. 300(2). E327–E340. 73 indexed citations

Apolzan, John W., et al.. (2009). Moderately increased protein intake predominately from egg sources does not influence whole body, regional, or muscle composition responses to resistance training in older people. The journal of nutrition health & aging. 13(2). 108–114. 40 indexed citations

Eash, John K., Aaron L. Olsen, Gert J. Breur, David E. Gerrard, & Kevin Hannon. (2007). FGFR1 inhibits skeletal muscle atrophy associated with hindlimb suspension. BMC Musculoskeletal Disorders. 8(1). 32–32. 29 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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