Christopher R. Burtner

1.7k total citations
16 papers, 1.2k citations indexed

About

Christopher R. Burtner is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, Christopher R. Burtner has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Aging. Recurrent topics in Christopher R. Burtner's work include Virus-based gene therapy research (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Fungal and yeast genetics research (5 papers). Christopher R. Burtner is often cited by papers focused on Virus-based gene therapy research (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Fungal and yeast genetics research (5 papers). Christopher R. Burtner collaborates with scholars based in United States, Ireland and South Africa. Christopher R. Burtner's co-authors include Brian K. Kennedy, Matt Kaeberlein, Christopher J. Murakami, Brian A. Kudlow, Brady Olsen, W. Timothy Garvey, Andi Johnson, A. D. Baron, Helmut O. Steinberg and Jessica Cronin and has published in prestigious journals such as Nature Reviews Molecular Cell Biology, Blood and The Journal of Immunology.

In The Last Decade

Christopher R. Burtner

16 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher R. Burtner United States 13 861 461 272 112 88 16 1.2k
Aditi U. Gurkar United States 15 616 0.7× 148 0.3× 335 1.2× 67 0.6× 134 1.5× 27 1.1k
Jingquan He China 14 485 0.6× 93 0.2× 140 0.5× 61 0.5× 84 1.0× 28 831
Kostoula Troulinaki Greece 9 756 0.9× 255 0.6× 136 0.5× 24 0.2× 757 8.6× 10 1.4k
Paul Dowell United States 11 683 0.8× 64 0.1× 317 1.2× 85 0.8× 108 1.2× 13 1.0k
Rie Kajino‐Sakamoto Japan 13 359 0.4× 169 0.4× 57 0.2× 45 0.4× 56 0.6× 15 705
Nunzia Pastore Italy 15 513 0.6× 45 0.1× 216 0.8× 190 1.7× 371 4.2× 24 1.2k
Xiaojian Liu China 18 434 0.5× 101 0.2× 95 0.3× 38 0.3× 223 2.5× 42 796
Konstantina Georgila Greece 8 291 0.3× 89 0.2× 96 0.4× 36 0.3× 107 1.2× 11 572
Kyung A Cho South Korea 18 373 0.4× 51 0.1× 257 0.9× 33 0.3× 77 0.9× 28 755
Nevzat Kazgan United States 8 383 0.4× 47 0.1× 175 0.6× 49 0.4× 340 3.9× 9 838

Countries citing papers authored by Christopher R. Burtner

Since Specialization
Citations

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

Fields of papers citing papers by Christopher R. Burtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher R. Burtner. 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 Christopher R. Burtner. The network helps show where Christopher R. Burtner may publish in the future.

Co-authorship network of co-authors of Christopher R. Burtner

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

All Works

16 of 16 papers shown
1.
Humbert, Olivier, Yogendra Singh Rajawat, Troy R. Torgerson, et al.. (2018). Rapid immune reconstitution of SCID-X1 canines after G-CSF/AMD3100 mobilization and in vivo gene therapy. Blood Advances. 2(9). 987–999. 20 indexed citations
2.
Burtner, Christopher R., Erlinda B. Santos, Brian C. Beard, et al.. (2015). 211 Astatine-Conjugated Monoclonal CD45 Antibody-Based Nonmyeloablative Conditioning for Stem Cell Gene Therapy. Human Gene Therapy. 26(6). 399–406. 13 indexed citations
3.
Felsburg, Peter J., Suk See De Ravin, Harry L. Malech, et al.. (2015). Gene Therapy Studies in a Canine Model of X-Linked Severe Combined Immunodeficiency. PubMed. 26(1). 50–56. 6 indexed citations
4.
Humbert, Olivier, Christopher R. Burtner, Patricia O’Donnell, et al.. (2015). Pgk-Mediated Expression of Common Gamma Chain Is More Effective Than EF1a for Therapeutic Immune Reconstitution of X-SCID Dogs after In Vivo Gene Therapy with Foamy Virus Vector. Blood. 126(23). 262–262. 1 indexed citations
5.
Kiem, Hans‐Peter, Paritha Arumugam, Christopher R. Burtner, et al.. (2014). Pigtailed macaques as a model to study long-term safety of lentivirus vector-mediated gene therapy for hemoglobinopathies. Molecular Therapy — Methods & Clinical Development. 1. 14055–14055. 13 indexed citations
6.
Burtner, Christopher R., Brian C. Beard, Martin E. Wohlfahrt, et al.. (2014). Intravenous injection of a foamy virus vector to correct canine SCID-X1. Blood. 123(23). 3578–3584. 34 indexed citations
7.
Burtner, Christopher R., Christopher J. Murakami, Brady Olsen, Brian K. Kennedy, & Matt Kaeberlein. (2011). A genomic analysis of chronological longevity factors in budding yeast. Cell Cycle. 10(9). 1385–1396. 66 indexed citations
8.
Burtner, Christopher R. & Brian K. Kennedy. (2010). Progeria syndromes and ageing: what is the connection?. Nature Reviews Molecular Cell Biology. 11(8). 567–578. 286 indexed citations
9.
Burtner, Christopher R., Christopher J. Murakami, Brian K. Kennedy, & Matt Kaeberlein. (2009). A molecular mechanism of chronological aging in yeast. Cell Cycle. 8(8). 1256–1270. 269 indexed citations
10.
Burtner, Christopher R., Christopher J. Murakami, & Matt Kaeberlein. (2009). A Genomic Approach to Yeast Chronological Aging. Methods in molecular biology. 548. 101–114. 14 indexed citations
11.
Kudlow, Brian A., et al.. (2008). Suppression of Proliferative Defects Associated with Processing-defective Lamin A Mutants by hTERT or Inactivation of p53. Molecular Biology of the Cell. 19(12). 5238–5248. 100 indexed citations
12.
Murakami, Christopher J., Christopher R. Burtner, Brian K. Kennedy, & Matt Kaeberlein. (2008). A Method for High-Throughput Quantitative Analysis of Yeast Chronological Life Span. The Journals of Gerontology Series A. 63(2). 113–121. 94 indexed citations
13.
Lobo, Peter I., et al.. (2008). Naturally Occurring IgM Anti-Leukocyte Autoantibodies (IgM-ALA) Inhibit T Cell Activation and Chemotaxis. The Journal of Immunology. 180(3). 1780–1791. 32 indexed citations
14.
Kaeberlein, Matt, Christopher R. Burtner, & Brian K. Kennedy. (2007). Recent Developments in Yeast Aging. PLoS Genetics. 3(5). e84–e84. 171 indexed citations
15.
Burtner, Christopher R., et al.. (2006). Correction of Renal Hypertension after Kidney Transplantation from a Donor with Gitelman Syndrome. The American Journal of the Medical Sciences. 331(2). 105–109. 12 indexed citations
16.
Paradisi, Giancarlo, Christopher R. Burtner, W. Timothy Garvey, et al.. (1999). Dual energy X-ray absorptiometry assessment of fat mass distribution and its association with the insulin resistance syndrome.. Diabetes Care. 22(8). 1310–1317. 118 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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