Brandon Nelson

795 total citations
9 papers, 629 citations indexed

About

Brandon Nelson is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Brandon Nelson has authored 9 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Brandon Nelson's work include Pluripotent Stem Cells Research (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and CRISPR and Genetic Engineering (2 papers). Brandon Nelson is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and CRISPR and Genetic Engineering (2 papers). Brandon Nelson collaborates with scholars based in United States. Brandon Nelson's co-authors include Mark Mercola, Mária Barcová, Sean Spiering, Maria Talantova, Alexey V. Terskikh, Wei Jiang, Ramón Dı́az-Trelles, Toshiya Tsuji, Nathan Salomonis and Fabio Cerignoli and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Brandon Nelson

9 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brandon Nelson United States 8 517 215 103 102 85 9 629
Amanda M. Herman United States 6 389 0.8× 209 1.0× 96 0.9× 106 1.0× 110 1.3× 8 530
Norbert Huebner Germany 9 379 0.7× 148 0.7× 87 0.8× 150 1.5× 134 1.6× 13 614
April M. Craft United States 8 519 1.0× 256 1.2× 83 0.8× 112 1.1× 28 0.3× 14 716
Jyoti Rao Germany 12 520 1.0× 110 0.5× 101 1.0× 96 0.9× 152 1.8× 16 626
Xiu Qin Xu China 15 646 1.2× 166 0.8× 82 0.8× 89 0.9× 81 1.0× 27 875
William G. Bernard United Kingdom 12 432 0.8× 220 1.0× 40 0.4× 81 0.8× 81 1.0× 15 619
Sandra Menke Germany 7 600 1.2× 380 1.8× 70 0.7× 117 1.1× 58 0.7× 7 725
Jan W. Buikema Netherlands 14 521 1.0× 273 1.3× 39 0.4× 129 1.3× 165 1.9× 26 762
Ethan Radzinsky United States 5 598 1.2× 267 1.2× 40 0.4× 43 0.4× 163 1.9× 7 700
Alessandro Magli United States 21 844 1.6× 237 1.1× 52 0.5× 71 0.7× 49 0.6× 38 949

Countries citing papers authored by Brandon Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Brandon Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brandon Nelson. 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 Brandon Nelson. The network helps show where Brandon Nelson may publish in the future.

Co-authorship network of co-authors of Brandon Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of Brandon Nelson. A scholar is included among the top collaborators of Brandon Nelson 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 Brandon Nelson. Brandon Nelson 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
2.
Peterson, Cory, Anuradha Soundararajan, Natalia G. Kan, et al.. (2012). Laser-Based Propagation of Human iPS and ES Cells Generates Reproducible Cultures with Enhanced Differentiation Potential. Stem Cells International. 2012. 1–13. 7 indexed citations
3.
Katkov, Igor I., Natalia G. Kan, Flavio Cimadamore, et al.. (2011). DMSO-Free Programmed Cryopreservation of Fully Dissociated and Adherent Human Induced Pluripotent Stem Cells. SHILAP Revista de lepidopterología. 2011. 1–8. 41 indexed citations
4.
Xia, Peng, Maria Talantova, Sean Spiering, et al.. (2009). Non-Cardiomyocytes Influence the Electrophysiological Maturation of Human Embryonic Stem Cell-Derived Cardiomyocytes During Differentiation. Stem Cells and Development. 19(6). 783–795. 138 indexed citations
5.
Salomonis, Nathan, Brandon Nelson, Karen Vranizan, et al.. (2009). Alternative Splicing in the Differentiation of Human Embryonic Stem Cells into Cardiac Precursors. PLoS Computational Biology. 5(11). e1000553–e1000553. 75 indexed citations
6.
Barcová, Mária, Natalie L. Prigozhina, Nathan Salomonis, et al.. (2009). Lentiviral Vectors and Protocols for Creation of Stable hESC Lines for Fluorescent Tracking and Drug Resistance Selection of Cardiomyocytes. PLoS ONE. 4(4). e5046–e5046. 175 indexed citations
7.
Maurer, Jochen, Brandon Nelson, Grace Ceceña, et al.. (2008). Contrasting Expression of Keratins in Mouse and Human Embryonic Stem Cells. PLoS ONE. 3(10). e3451–e3451. 24 indexed citations
8.
Campa, Víctor M., Fabio Cerignoli, Ramón Dı́az-Trelles, et al.. (2008). Notch activates cell cycle reentry and progression in quiescent cardiomyocytes. The Journal of Cell Biology. 183(1). 129–141. 152 indexed citations
9.
Campa, Víctor M., Fabio Cerignoli, Ramón Dı́az-Trelles, et al.. (2008). Notch activates cell cycle reentry and progression in quiescent cardiomyocytes. The Journal of Experimental Medicine. 205(11). i24–i24. 6 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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