Michael G. Klug

1.1k total citations
9 papers, 866 citations indexed

About

Michael G. Klug is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michael G. Klug has authored 9 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Michael G. Klug's work include Tissue Engineering and Regenerative Medicine (3 papers), Cardiac Structural Anomalies and Repair (3 papers) and Pluripotent Stem Cells Research (2 papers). Michael G. Klug is often cited by papers focused on Tissue Engineering and Regenerative Medicine (3 papers), Cardiac Structural Anomalies and Repair (3 papers) and Pluripotent Stem Cells Research (2 papers). Michael G. Klug collaborates with scholars based in United States and Germany. Michael G. Klug's co-authors include Mark H. Soonpaa, Loren J. Field, Gou Young Koh, David A. Largaespada, Colin Fletcher, Neal G. Copeland, Dawei Xu, Robert Hromas, Robert H. Costa and Michael J. Klemsz and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Michael G. Klug

9 papers receiving 842 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael G. Klug United States 8 572 455 175 148 144 9 866
Sarah Woodard United States 4 835 1.5× 674 1.5× 209 1.2× 235 1.6× 232 1.6× 5 1.2k
L. De Angelis Italy 10 414 0.7× 280 0.6× 91 0.5× 76 0.5× 238 1.7× 15 656
Amy Foley United States 6 1.2k 2.1× 631 1.4× 128 0.7× 291 2.0× 64 0.4× 11 1.5k
Agnieszka Blusztajn United States 6 360 0.6× 464 1.0× 196 1.1× 142 1.0× 204 1.4× 10 705
Xuechong Hong United Kingdom 15 420 0.7× 246 0.5× 121 0.7× 43 0.3× 124 0.9× 24 761
Anna Borrione Italy 12 236 0.4× 258 0.6× 90 0.5× 129 0.9× 55 0.4× 14 757
Lepeng Zeng United States 7 303 0.5× 360 0.8× 180 1.0× 70 0.5× 291 2.0× 11 592
Toktam Bostani Germany 4 263 0.5× 285 0.6× 128 0.7× 56 0.4× 289 2.0× 4 575
Min-Ji Cha South Korea 11 250 0.4× 247 0.5× 165 0.9× 53 0.4× 294 2.0× 13 620
З. И. Цоколаева Russia 12 268 0.5× 264 0.6× 132 0.8× 70 0.5× 263 1.8× 53 617

Countries citing papers authored by Michael G. Klug

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Klug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Klug. 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 Michael G. Klug. The network helps show where Michael G. Klug may publish in the future.

Co-authorship network of co-authors of Michael G. Klug

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

All Works

9 of 9 papers shown
1.
Bratke, Kai, Michael G. Klug, Andrea Bier, et al.. (2008). Function-Associated Surface Molecules on Airway Dendritic Cells in Cigarette Smokers. American Journal of Respiratory Cell and Molecular Biology. 38(6). 655–660. 54 indexed citations
2.
Wang, Jian, et al.. (2000). Involvement of caspase 3- and 8-like proteases in ceramide-induced apoptosis of cardiomyocytes. Journal of Cardiac Failure. 6(3). 243–249. 35 indexed citations
3.
Costa, Robert H., Michael G. Klug, Dawei Xu, et al.. (1996). , a Winged Helix Transcriptional Repressor with Expression Restricted to Embryonic Stem Cells. Journal of Biological Chemistry. 271(38). 23126–23133. 149 indexed citations
4.
Koh, Gou Young, Mark H. Soonpaa, Michael G. Klug, & Loren J. Field. (1995). Strategies for Myocardial Repair. Journal of Interventional Cardiology. 8(4). 387–393. 7 indexed citations
5.
Soonpaa, Mark H., et al.. (1995). Potential Approaches for Myocardial Regenerationa. Annals of the New York Academy of Sciences. 752(1). 446–454. 31 indexed citations
6.
Klug, Michael G., Mark H. Soonpaa, & Loren J. Field. (1995). DNA synthesis and multinucleation in embryonic stem cell-derived cardiomyocytes. American Journal of Physiology-Heart and Circulatory Physiology. 269(6). H1913–H1921. 44 indexed citations
7.
Soonpaa, Mark H., Gou Young Koh, Michael G. Klug, & Loren J. Field. (1994). Formation of Nascent Intercalated Disks Between Grafted Fetal Cardiomyocytes and Host Myocardium. Science. 264(5155). 98–101. 441 indexed citations
8.
Koh, Gou Young, Mark H. Soonpaa, Michael G. Klug, & Loren J. Field. (1993). Long-term survival of AT-1 cardiomyocyte grafts in syngeneic myocardium. American Journal of Physiology-Heart and Circulatory Physiology. 264(5). H1727–H1733. 83 indexed citations
9.
Helper, Debra J., et al.. (1990). Nucleotide and deduced amino acid sequence of cDNAs encoding two isoforms for the 17,000 dalton myosin light chain in bovine aortic smooth muscle. Nucleic Acids Research. 18(23). 7176–7176. 22 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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