Jeffrey J. Roix

6.5k total citations
9 papers, 813 citations indexed

About

Jeffrey J. Roix is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Jeffrey J. Roix has authored 9 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Genetics. Recurrent topics in Jeffrey J. Roix's work include Genomics and Chromatin Dynamics (3 papers), RNA and protein synthesis mechanisms (2 papers) and RNA Research and Splicing (2 papers). Jeffrey J. Roix is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), RNA and protein synthesis mechanisms (2 papers) and RNA Research and Splicing (2 papers). Jeffrey J. Roix collaborates with scholars based in United States. Jeffrey J. Roix's co-authors include Tom Misteli, Peter J. Munson, Philip G. McQueen, Luis A. Parada, Christine Ladd‐Acosta, Tyler Jacks, Todd R. Golub, E. Alejandro Sweet‐Cordero, Sayan Mukherjee and Jill P. Mesirov and has published in prestigious journals such as Nature Genetics, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Jeffrey J. Roix

9 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey J. Roix United States 9 640 133 123 101 98 9 813
Jit Kong Cheong Singapore 13 710 1.1× 82 0.6× 160 1.3× 109 1.1× 47 0.5× 24 925
Sei‐Ichi Matsui United States 17 733 1.1× 258 1.9× 172 1.4× 147 1.5× 102 1.0× 24 1.0k
Xavier Le Guezennec Singapore 13 959 1.5× 119 0.9× 104 0.8× 199 2.0× 41 0.4× 21 1.2k
Kerstin W. Sinkevicius United States 13 387 0.6× 135 1.0× 78 0.6× 216 2.1× 87 0.9× 19 731
Hungjiun Liaw Taiwan 15 756 1.2× 62 0.5× 192 1.6× 174 1.7× 61 0.6× 27 868
Claudia Bredel United States 7 505 0.8× 79 0.6× 237 1.9× 112 1.1× 26 0.3× 9 709
Mei Leng United States 15 676 1.1× 79 0.6× 103 0.8× 197 2.0× 95 1.0× 21 799
Filipe V. Jacinto Spain 11 799 1.2× 139 1.0× 158 1.3× 69 0.7× 30 0.3× 12 915
David Jakubosky United States 9 491 0.8× 139 1.0× 53 0.4× 177 1.8× 25 0.3× 9 645
Yow-Ling Shiue Taiwan 21 523 0.8× 127 1.0× 242 2.0× 224 2.2× 27 0.3× 33 896

Countries citing papers authored by Jeffrey J. Roix

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey J. Roix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey J. Roix. 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 Jeffrey J. Roix. The network helps show where Jeffrey J. Roix may publish in the future.

Co-authorship network of co-authors of Jeffrey J. Roix

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. Roix. A scholar is included among the top collaborators of Jeffrey J. Roix 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 Jeffrey J. Roix. Jeffrey J. Roix 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.
Roix, Jeffrey J., et al.. (2014). Systematic Repurposing Screening in Xenograft Models Identifies Approved Drugs with Novel Anti-Cancer Activity. PLoS ONE. 9(8). e101708–e101708. 9 indexed citations
2.
Roix, Jeffrey J. & Saurabh Saha. (2013). TNF-α blockade is ineffective in animal models of established polycystic kidney disease. BMC Nephrology. 14(1). 233–233. 11 indexed citations
3.
Roix, Jeffrey J., et al.. (2011). Effect of the antipsychotic agent amisulpride on glucose lowering and insulin secretion. Diabetes Obesity and Metabolism. 14(4). 329–334. 10 indexed citations
4.
Sweet‐Cordero, E. Alejandro, Sayan Mukherjee, Aravind Subramanian, et al.. (2004). An oncogenic KRAS2 expression signature identified by cross-species gene-expression analysis. Nature Genetics. 37(1). 48–55. 314 indexed citations
5.
Burgess, Robert W., Kevin A. Peterson, Michael J. Johnson, et al.. (2004). Evidence for a Conserved Function in Synapse Formation Reveals Phr1 as a Candidate Gene for Respiratory Failure in Newborn Mice. Molecular and Cellular Biology. 24(3). 1096–1105. 93 indexed citations
6.
Roix, Jeffrey J., Philip G. McQueen, Peter J. Munson, Luis A. Parada, & Tom Misteli. (2003). Spatial proximity of translocation-prone gene loci in human lymphomas. Nature Genetics. 34(3). 287–291. 320 indexed citations
7.
Roix, Jeffrey J. & Tom Misteli. (2002). Genomes, proteomes, and dynamic networks in the cell nucleus. Histochemistry and Cell Biology. 118(2). 105–116. 24 indexed citations
8.
Peterson, Kevin A., et al.. (2002). Functional and Comparative Genomic Analysis of the Piebald Deletion Region of Mouse Chromosome 14. Genomics. 80(2). 172–184. 13 indexed citations
9.
Roix, Jeffrey J., et al.. (2001). Molecular and Functional Mapping of the Piebald Deletion Complex on Mouse Chromosome 14. Genetics. 157(2). 803–815. 19 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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