Jason R. Dobson

3.9k total citations · 1 hit paper
24 papers, 2.0k citations indexed

About

Jason R. Dobson is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jason R. Dobson has authored 24 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Jason R. Dobson's work include Bone Metabolism and Diseases (5 papers), Genomics and Chromatin Dynamics (5 papers) and Chromatin Remodeling and Cancer (3 papers). Jason R. Dobson is often cited by papers focused on Bone Metabolism and Diseases (5 papers), Genomics and Chromatin Dynamics (5 papers) and Chromatin Remodeling and Cancer (3 papers). Jason R. Dobson collaborates with scholars based in United States, Switzerland and France. Jason R. Dobson's co-authors include Fabio Vandin, Benjamin J. Raphael, Jane B. Lian, Janet L. Stein, André J. van Wijnen, Gary S. Stein, Layla Oesper, Mark D.M. Leiserson, Hsin-Ta Wu and Jacob Thomas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

In The Last Decade

Jason R. Dobson

23 papers receiving 1.9k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes

2014 588 citations Mark D.M. Leiserson, Fabio Vandin et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason R. Dobson United States	18	1.4k	567	559	362	197	24	2.0k
Kenric Leung United Kingdom	3	1.2k 0.9×	696 1.2×	451 0.8×	273 0.8×	265 1.3×	5	1.8k
Jonathan R. Dry United States	19	818 0.6×	473 0.8×	474 0.8×	230 0.6×	149 0.8×	34	1.4k
Panisa Pochanard United States	5	1.2k 0.9×	486 0.9×	596 1.1×	229 0.6×	126 0.6×	6	1.6k
Dawn A. D. Chasse United States	6	1.8k 1.3×	540 1.0×	688 1.2×	305 0.8×	152 0.8×	10	2.3k
David Harpole United States	9	1.2k 0.9×	498 0.9×	586 1.0×	528 1.5×	109 0.6×	16	1.9k
Zbysław Sońdka United Kingdom	9	1.8k 1.3×	972 1.7×	572 1.0×	344 1.0×	363 1.8×	15	2.6k
Pradip De United States	22	1.0k 0.7×	596 1.1×	988 1.8×	438 1.2×	124 0.6×	36	2.0k
Wilfried Gouraud France	16	1.3k 0.9×	537 0.9×	714 1.3×	333 0.9×	110 0.6×	30	1.8k
Ariella B. Hanker United States	15	942 0.7×	453 0.8×	759 1.4×	445 1.2×	157 0.8×	41	1.6k
Armelle Logié United Kingdom	19	962 0.7×	433 0.8×	442 0.8×	202 0.6×	114 0.6×	33	1.6k

Countries citing papers authored by Jason R. Dobson

Since Specialization

Citations

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

Fields of papers citing papers by Jason R. Dobson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason R. Dobson

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

All Works

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20 of 20 papers shown

Rodón, Jordi, Guillem Argilés, Roisín M. Connolly, et al.. (2021). Phase 1 study of single-agent WNT974, a first-in-class Porcupine inhibitor, in patients with advanced solid tumours. British Journal of Cancer. 125(1). 28–37. 113 indexed citations

Cohen, Roger B., Melissa L. Johnson, Przemyslaw Twardowski, et al.. (2019). A phase 1/2a study of GEN-009, a neoantigen vaccine based on autologous peptide immune responses.. Journal of Clinical Oncology. 37(15_suppl). 2611–2611. 5 indexed citations

Dowal, Louisa, Anna Lyubetskaya, Crystal Cabral, et al.. (2019). Abstract LB-223: ATLASTMreveals a dominant inhibitory antigen in melanoma patients, and a reduced breadth of tumor-associated antigen-specific T cells in non-responders to checkpoint blockade. Cancer Research. 79(13_Supplement). LB–223.

Geoerger, Birgit, Franck Bourdeaut, Steven G. DuBois, et al.. (2017). A Phase I Study of the CDK4/6 Inhibitor Ribociclib (LEE011) in Pediatric Patients with Malignant Rhabdoid Tumors, Neuroblastoma, and Other Solid Tumors. Clinical Cancer Research. 23(10). 2433–2441. 121 indexed citations

Tolaney, SM, Valentina Boni, Thomas Bachelot, et al.. (2017). Abstract P4-22-12: Ribociclib + fulvestrant in postmenopausal women with HR+, HER2– advanced breast cancer (ABC). Cancer Research. 77(4_Supplement). P4–22. 4 indexed citations

Infante, Jeffrey R., Philippe A. Cassier, John F. Gerecitano, et al.. (2016). A Phase I Study of the Cyclin-Dependent Kinase 4/6 Inhibitor Ribociclib (LEE011) in Patients with Advanced Solid Tumors and Lymphomas. Clinical Cancer Research. 22(23). 5696–5705. 237 indexed citations

Dobson, Jason R., Deli Hong, A. Rasim Barutcu, et al.. (2016). Identifying Nuclear Matrix‐Attached DNA Across the Genome. Journal of Cellular Physiology. 232(6). 1295–1305. 18 indexed citations

Kuzu, Guray, Trevor Siggers, Lin Yang, et al.. (2016). Expansion of GA Dinucleotide Repeats Increases the Density of CLAMP Binding Sites on the X-Chromosome to Promote Drosophila Dosage Compensation. PLoS Genetics. 12(7). e1006120–e1006120. 36 indexed citations

Wu, Qiong, Jason R. Dobson, Jake Schnabl, et al.. (2016). The BRG1 chromatin remodeling enzyme links cancer cell metabolism and proliferation. Oncotarget. 7(25). 38270–38281. 56 indexed citations

10.

Wu, Qiong, Jacqueline Akech, Jason R. Dobson, et al.. (2015). The SWI/SNF ATPases Are Required for Triple Negative Breast Cancer Cell Proliferation. Journal of Cellular Physiology. 230(11). 2683–2694. 52 indexed citations

11.

Dobson, Jason R., Hanna Taipaleenmäki, Yujie Hu, et al.. (2014). hsa-mir-30c promotes the invasive phenotype of metastatic breast cancer cells by targeting NOV/CCN3. Cancer Cell International. 14(1). 73–73. 44 indexed citations

12.

Leiserson, Mark D.M., et al.. (2014). Abstract 5324: Pan-cancer identification of mutated pathways and protein complexes. Cancer Research. 74(19_Supplement). 5324–5324. 15 indexed citations

13.

Barutcu, A. Rasim, Phillip W.L. Tai, Hai Wu, et al.. (2014). The bone-specific Runx2-P1 promoter displays conserved three-dimensional chromatin structure with the syntenic Supt3h promoter. Nucleic Acids Research. 42(16). 10360–10372. 25 indexed citations

14.

Raphael, Benjamin J., Jason R. Dobson, Layla Oesper, & Fabio Vandin. (2014). Identifying driver mutations in sequenced cancer genomes: computational approaches to enable precision medicine. Genome Medicine. 6(1). 5–5. 161 indexed citations

15.

Leiserson, Mark D.M., Fabio Vandin, Hsin-Ta Wu, et al.. (2014). Pan-cancer network analysis identifies combinations of rare somatic mutations across pathways and protein complexes. Nature Genetics. 47(2). 106–114. 588 indexed citations breakdown →

16.

Wu, Hai, Troy W. Whitfield, Jonathan A. R. Gordon, et al.. (2014). Genomic occupancy of Runx2 with global expression profiling identifies a novel dimension to control of osteoblastogenesis. Genome biology. 15(3). R52–R52. 126 indexed citations

17.

Dobson, Jason R., Jane B. Lian, Janet L. Stein, et al.. (2012). A Runx2-HDAC1 co-repressor complex regulates rRNA gene expression by modulating UBF acetylation. Journal of Cell Science. 125(Pt 11). 2732–9. 32 indexed citations

18.

Leong, David Tai, Jitesh Pratap, Barry P. Pereira, et al.. (2010). Cancer-related ectopic expression of the bone-related transcription factor RUNX2 in non-osseous metastatic tumor cells is linked to cell proliferation and motility. Breast Cancer Research. 12(5). R89–R89. 51 indexed citations

19.

Ali, Syed Azmal, Sayyed K. Zaidi, Jason R. Dobson, et al.. (2010). Transcriptional corepressor TLE1 functions with Runx2 in epigenetic repression of ribosomal RNA genes. Proceedings of the National Academy of Sciences. 107(9). 4165–4169. 33 indexed citations

20.

Pratap, Jitesh, John J. Wixted, Tripti Gaur, et al.. (2008). Runx2 Transcriptional Activation of Indian Hedgehog and a Downstream Bone Metastatic Pathway in Breast Cancer Cells. Cancer Research. 68(19). 7795–7802. 158 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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