Philip Olsen

1.6k total citations · 1 hit paper
10 papers, 1.3k citations indexed

About

Philip Olsen is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Philip Olsen has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Genetics. Recurrent topics in Philip Olsen's work include Virus-based gene therapy research (3 papers), CAR-T cell therapy research (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Philip Olsen is often cited by papers focused on Virus-based gene therapy research (3 papers), CAR-T cell therapy research (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Philip Olsen collaborates with scholars based in United States and South Africa. Philip Olsen's co-authors include Victor Ambros, Rebecca Taub, George L. King, Hans‐Peter Kiem, Grant D. Trobridge, Brian C. Beard, Martin E. Wohlfahrt, Punam Malik, James Fletcher and Naomi L. Esmon and has published in prestigious journals such as Genes & Development, Blood and Biochemistry.

In The Last Decade

Philip Olsen

10 papers receiving 1.2k citations

Hit Papers

The lin-4 Regulatory RNA Controls Developmental Timing in... 1999 2026 2008 2017 1999 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Olsen United States 9 971 624 167 141 97 10 1.3k
Samantha Cooper United States 14 515 0.5× 152 0.2× 233 1.4× 76 0.5× 201 2.1× 20 940
Nan Cher Yeo United States 9 843 0.9× 190 0.3× 160 1.0× 68 0.5× 67 0.7× 15 1.0k
Elizabeth A. Kennington United States 15 1.7k 1.8× 360 0.6× 95 0.6× 92 0.7× 175 1.8× 15 2.0k
Seth W. Cheetham Australia 14 1.1k 1.1× 709 1.1× 94 0.6× 160 1.1× 39 0.4× 26 1.3k
Xinjun Ji United States 14 887 0.9× 379 0.6× 54 0.3× 55 0.4× 45 0.5× 23 1.1k
A. Gordon Robertson Canada 17 789 0.8× 206 0.3× 79 0.5× 40 0.3× 145 1.5× 25 1.2k
Igor Martianov France 15 1.3k 1.3× 490 0.8× 305 1.8× 131 0.9× 31 0.3× 20 1.5k
Stephen H. Munroe United States 14 1.1k 1.2× 234 0.4× 100 0.6× 68 0.5× 44 0.5× 23 1.3k
Vamsi K. Gangaraju United States 13 1.2k 1.3× 664 1.1× 67 0.4× 139 1.0× 78 0.8× 18 1.5k
Claude Philippe France 15 772 0.8× 110 0.2× 179 1.1× 277 2.0× 204 2.1× 18 1.1k

Countries citing papers authored by Philip Olsen

Since Specialization
Citations

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

Fields of papers citing papers by Philip Olsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Olsen

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

All Works

10 of 10 papers shown
1.
McPherson, A., Daniel C. Capaldi, Lijian Chen, & Philip Olsen. (2020). An Improved Process for the Manufacture of 5′-O-(4,4′-Dimethoxytrityl)-N2-isobutyryl-2′-O-(2-methoxyethyl)guanosine. Organic Process Research & Development. 24(11). 2583–2590. 4 indexed citations
2.
Lee, Sang Yun, Philip Olsen, Dong Hoon Lee, et al.. (2017). Preclinical Optimization of a CD20-specific Chimeric Antigen Receptor Vector and Culture Conditions. Journal of Immunotherapy. 41(1). 19–31. 22 indexed citations
3.
Press, Oliver W., Philip Olsen, Sang Yun Lee, et al.. (2016). Preserved Activity of CD20-Specific Chimeric Antigen Receptor–Expressing T Cells in the Presence of Rituximab. Cancer Immunology Research. 4(6). 509–519. 22 indexed citations
4.
Trobridge, Grant D., R. Alex Wu, Michael J. Hansen, et al.. (2009). Cocal-pseudotyped Lentiviral Vectors Resist Inactivation by Human Serum and Efficiently Transduce Primate Hematopoietic Repopulating Cells. Molecular Therapy. 18(4). 725–733. 51 indexed citations
5.
Ow, Maria C., Natalia J. Martinez, Philip Olsen, et al.. (2008). The FLYWCH transcription factors FLH-1, FLH-2, and FLH-3 repress embryonic expression of microRNA genes in C. elegans. Genes & Development. 22(18). 2520–2534. 46 indexed citations
6.
Trobridge, Grant D., Brian C. Beard, Martin E. Wohlfahrt, et al.. (2008). Efficient transduction of pigtailed macaque hematopoietic repopulating cells with HIV-based lentiviral vectors. Blood. 111(12). 5537–5543. 57 indexed citations
7.
Olsen, Philip, Ingo Lenk, Christian S. Jensen, et al.. (2006). Analysis of two heterologous flowering genes in Brachypodium distachyon demonstrates its potential as a grass model plant. Plant Science. 170(5). 1020–1025. 20 indexed citations
8.
Olsen, Philip & Victor Ambros. (1999). The lin-4 Regulatory RNA Controls Developmental Timing in Caenorhabditis elegans by Blocking LIN-14 Protein Synthesis after the Initiation of Translation. Developmental Biology. 216(2). 671–680. 918 indexed citations breakdown →

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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