Robert E. Welikson

3.3k total citations
18 papers, 487 citations indexed

About

Robert E. Welikson is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Robert E. Welikson has authored 18 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 4 papers in Surgery. Recurrent topics in Robert E. Welikson's work include Muscle Physiology and Disorders (8 papers), Congenital heart defects research (5 papers) and Pluripotent Stem Cells Research (4 papers). Robert E. Welikson is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Congenital heart defects research (5 papers) and Pluripotent Stem Cells Research (4 papers). Robert E. Welikson collaborates with scholars based in United States. Robert E. Welikson's co-authors include Stephen D. Hauschka, Jeffrey S. Chamberlain, Donald A. Fischman, John C. Angello, Allen M. Samarel, Irwin Klein, Chull Hong, Leslie A. Leinwand, Karen L. Vikstrom and En Kimura and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and PLoS ONE.

In The Last Decade

Robert E. Welikson

18 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert E. Welikson United States 14 385 146 113 92 45 18 487
Sonia Stefanovic France 16 617 1.6× 114 0.8× 112 1.0× 142 1.5× 34 0.8× 26 725
Bryan A. Piras United States 13 290 0.8× 120 0.8× 132 1.2× 89 1.0× 27 0.6× 16 450
Christine M. Liberatore United States 7 533 1.4× 88 0.6× 82 0.7× 79 0.9× 17 0.4× 8 556
T G Sherratt United Kingdom 8 373 1.0× 98 0.7× 94 0.8× 45 0.5× 26 0.6× 10 422
Claude Guérin Canada 9 360 0.9× 71 0.5× 95 0.8× 62 0.7× 44 1.0× 11 455
J.E. Morgan United Kingdom 6 324 0.8× 52 0.4× 96 0.8× 88 1.0× 19 0.4× 17 388
William G. Bernard United Kingdom 12 432 1.1× 81 0.6× 91 0.8× 220 2.4× 81 1.8× 15 619
Hassan Abdulrazzak United Kingdom 12 327 0.8× 255 1.7× 86 0.8× 83 0.9× 15 0.3× 16 577
Kim Shontz United States 5 374 1.0× 86 0.6× 133 1.2× 41 0.4× 19 0.4× 11 445
Joachim Stjernvall Finland 4 343 0.9× 139 1.0× 111 1.0× 190 2.1× 22 0.5× 4 505

Countries citing papers authored by Robert E. Welikson

Since Specialization
Citations

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

Fields of papers citing papers by Robert E. Welikson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Welikson. 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 Robert E. Welikson. The network helps show where Robert E. Welikson may publish in the future.

Co-authorship network of co-authors of Robert E. Welikson

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

All Works

18 of 18 papers shown
1.
Welikson, Robert E., Jun Luo, Thomas J. Kean, et al.. (2015). Can Cytoprotective Cobalt Protoporphyrin Protect Skeletal Muscle and Muscle-derived Stem Cells From Ischemic Injury?. Clinical Orthopaedics and Related Research. 473(9). 2908–2919. 12 indexed citations
2.
Moyes, Kara White, Cody Horst, Robert E. Welikson, et al.. (2013). Human Embryonic Stem Cell-Derived Cardiomyocytes Migrate in Response to Gradients of Fibronectin and Wnt5a. Stem Cells and Development. 22(16). 2315–2325. 21 indexed citations
3.
Tsubota, Yoshiaki, et al.. (2013). Monocyte ADAM17 Promotes Diapedesis during Transendothelial Migration: Identification of Steps and Substrates Targeted by Metalloproteinases. The Journal of Immunology. 190(8). 4236–4244. 25 indexed citations
4.
Gantz, Jay A., Nathan J. Palpant, Robert E. Welikson, et al.. (2012). Targeted Genomic Integration of a Selectable Floxed Dual Fluorescence Reporter in Human Embryonic Stem Cells. PLoS ONE. 7(10). e46971–e46971. 28 indexed citations
5.
Tai, Phillip W.L., Katherine Fisher-Aylor, Charis L. Himeda, et al.. (2011). Differentiation and fiber type-specific activity of a muscle creatine kinase intronic enhancer. Skeletal Muscle. 1(1). 25–25. 25 indexed citations
6.
Welikson, Robert E., et al.. (2007). Embryonic cardiomyocyte expression of endothelial genes. Developmental Dynamics. 236(9). 2512–2522. 5 indexed citations
7.
Angello, John C., et al.. (2006). BMP induction of cardiogenesis in P19 cells requires prior cell–cell interaction(s). Developmental Dynamics. 235(8). 2122–2133. 16 indexed citations
8.
Welikson, Robert E., et al.. (2006). Human umbilical vein endothelial cells fuse with cardiomyocytes but do not activate cardiac gene expression. Journal of Molecular and Cellular Cardiology. 40(4). 520–528. 8 indexed citations
9.
Kimura, En, B. Fall, Morayma Reyes, et al.. (2005). Stable transduction of myogenic cells with lentiviral vectors expressing a minidystrophin. Gene Therapy. 12(14). 1099–1108. 71 indexed citations
10.
Kimura, En, B. Fall, John C. Angello, et al.. (2005). Li, S, Kimura, E, Fall, BM, Reyes, M, Angello, JC, Welikson, R et al.. Stable transduction of myogenic cells with lentiviral vectors expressing a minidystrophin. Gene Ther 12: 1099-1108. 18 indexed citations
11.
Scott, Jeannine M., Sheng Li, Scott Q. Harper, et al.. (2002). Viral vectors for gene transfer of micro-, mini-, or full-length dystrophin. Neuromuscular Disorders. 12. S23–S29. 75 indexed citations
12.
13.
Welikson, Robert E., Scott H. Buck, Jitandrakumar R. Patel, et al.. (1999). Cardiac myosin heavy chains lacking the light chain binding domain cause hypertrophic cardiomyopathy in mice. American Journal of Physiology-Heart and Circulatory Physiology. 276(6). H2148–H2158. 16 indexed citations
14.
Buvoli, Massimo, et al.. (1997). Advances in cardiovascular gene transfer.. PubMed. 42(1). 39–46. 1 indexed citations
15.
Li, Kai, Robert E. Welikson, Karen L. Vikstrom, & Leslie A. Leinwand. (1997). Direct Gene Transfer into the Mouse Heart. Journal of Molecular and Cellular Cardiology. 29(5). 1499–1504. 35 indexed citations
16.
Vikstrom, Karen L., Regina Sohn, Mike Strauss, et al.. (1997). The Vertebrate Myosin Heavy Chain: Genetics and Assembly Properties.. Cell Structure and Function. 22(1). 123–129. 20 indexed citations
17.
Klein, Irwin, Kaie Ojamaa, Allen M. Samarel, Robert E. Welikson, & Chull Hong. (1992). Hemodynamic regulation of myosin heavy chain gene expression. Studies in the transplanted rat heart.. Journal of Clinical Investigation. 89(1). 68–73. 43 indexed citations
18.
Klein, Irwin, Allen M. Samarel, Robert E. Welikson, & Chull Hong. (1991). Heterotopic cardiac transplantation decreases the capacity for rat myocardial protein synthesis.. Circulation Research. 68(4). 1100–1107. 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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