Ross A. Dickins

8.9k total citations · 1 hit paper
44 papers, 5.0k citations indexed

About

Ross A. Dickins is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Ross A. Dickins has authored 44 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 14 papers in Hematology and 12 papers in Oncology. Recurrent topics in Ross A. Dickins's work include Acute Lymphoblastic Leukemia research (11 papers), Acute Myeloid Leukemia Research (10 papers) and RNA Interference and Gene Delivery (8 papers). Ross A. Dickins is often cited by papers focused on Acute Lymphoblastic Leukemia research (11 papers), Acute Myeloid Leukemia Research (10 papers) and RNA Interference and Gene Delivery (8 papers). Ross A. Dickins collaborates with scholars based in Australia, United States and Austria. Ross A. Dickins's co-authors include Scott W. Lowe, Cornelius Miething, Valery Krizhanovsky, Lars Zender, Eva Hernando, Carlos Cordon‐Cardo, Wen Xue, Gregory J. Hannon, Johannes Zuber and Ingrid Ibarra and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ross A. Dickins

43 papers receiving 5.0k citations

Hit Papers

Senescence and tumour clearance is triggered by p53 resto... 2007 2026 2013 2019 2007 500 1000 1.5k

Peers

Ross A. Dickins
Agustin Chicas United States
David O. Ferguson United States
Monica Gostissa United States
Daniel R. Carrasco United States
Dawn E. Quelle United States
Chengming Zhu United States
Christine M. Eischen United States
Ross A. Dickins
Citations per year, relative to Ross A. Dickins Ross A. Dickins (= 1×) peers Cornelius Miething

Countries citing papers authored by Ross A. Dickins

Since Specialization
Citations

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

Fields of papers citing papers by Ross A. Dickins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross A. Dickins. 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 Ross A. Dickins. The network helps show where Ross A. Dickins may publish in the future.

Co-authorship network of co-authors of Ross A. Dickins

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

All Works

20 of 20 papers shown
1.
Masullo, Luciano A., Rafal Kowalewski, Heinrich Grabmayr, et al.. (2025). Spatial and stoichiometric in situ analysis of biomolecular oligomerization at single-protein resolution. Nature Communications. 16(1). 4202–4202. 3 indexed citations
2.
Ghisi, Margherita, Mark McKenzie, H. L. Mitchell, et al.. (2021). Acute myeloid leukemia maturation lineage influences residual disease and relapse following differentiation therapy. Nature Communications. 12(1). 6546–6546. 8 indexed citations
3.
Shields, Benjamin J., Jacob T. Jackson, Raed Alserihi, et al.. (2021). T-ALL can evolve to oncogene independence. Leukemia. 35(8). 2205–2219. 4 indexed citations
4.
Witkowski, Matthew T., Yifang Hu, Kathryn G. Roberts, et al.. (2017). Conserved IKAROS-regulated genes associated with B-progenitor acute lymphoblastic leukemia outcome. The Journal of Experimental Medicine. 214(3). 773–791. 22 indexed citations
5.
Ghisi, Margherita, Lev M. Kats, Frédérick Masson, et al.. (2016). Id2 and E Proteins Orchestrate the Initiation and Maintenance of MLL-Rearranged Acute Myeloid Leukemia. Cancer Cell. 30(1). 59–74. 26 indexed citations
6.
Mountford, Jessica K., James D. McFadyen, Simone M. Schoenwaelder, et al.. (2015). The class II PI 3-kinase, PI3KC2α, links platelet internal membrane structure to shear-dependent adhesive function. Nature Communications. 6(1). 6535–6535. 66 indexed citations
7.
Witkowski, Matthew T., Luigi Cimmino, Yifang Hu, et al.. (2015). Activated Notch counteracts Ikaros tumor suppression in mouse and human T-cell acute lymphoblastic leukemia. Leukemia. 29(6). 1301–1311. 24 indexed citations
8.
Liu, Grace, Luisa Cimmino, Julian Jude, et al.. (2014). PAX5 loss imposes a reversible differentiation block in b-progenitor acute lymphoblastic leukemia. Experimental Hematology. 42(8). S46–S46. 3 indexed citations
9.
Schwickert, Tanja A., Hiromi Tagoh, Sinan Gültekin, et al.. (2014). Stage-specific control of early B cell development by the transcription factor Ikaros. Nature Immunology. 15(3). 283–293. 158 indexed citations
10.
Ho, P.W.M., Mike R. Russell, Alistair M. Chalk, et al.. (2014). Knockdown of PTHR1 in osteosarcoma cells decreases invasion and growth and increases tumor differentiation in vivo. Oncogene. 34(22). 2922–2933. 40 indexed citations
11.
Newbold, Andrea, Geoffrey M. Matthews, Michael Bots, et al.. (2013). Molecular and Biologic Analysis of Histone Deacetylase Inhibitors with Diverse Specificities. Molecular Cancer Therapeutics. 12(12). 2709–2721. 40 indexed citations
12.
Mutsaers, Anthony J., Emma K. Baker, Alistair M. Chalk, et al.. (2013). Modeling distinct osteosarcoma subtypes in vivo using Cre:lox and lineage-restricted transgenic shRNA. Bone. 55(1). 166–178. 61 indexed citations
13.
Fellmann, Christof, Johannes Zuber, Katherine McJunkin, et al.. (2011). Functional Identification of Optimized RNAi Triggers Using a Massively Parallel Sensor Assay. Molecular Cell. 41(6). 733–746. 166 indexed citations
14.
James, Chloé, Emma C. Josefsson, Catherine Carmichael, et al.. (2010). Transgenic, inducible RNAi in megakaryocytes and platelets in mice. Journal of Thrombosis and Haemostasis. 8(12). 2751–2756. 10 indexed citations
15.
Chicas, Agustin, Xiaowo Wang, Chaolin Zhang, et al.. (2010). Dissecting the Unique Role of the Retinoblastoma Tumor Suppressor during Cellular Senescence. Cancer Cell. 17(4). 376–387. 296 indexed citations
16.
Krizhanovsky, Valery, Ross A. Dickins, Stephen Hearn, et al.. (2008). Senescence of Activated Stellate Cells Limits Liver Fibrosis. Cell. 134(1). 190–190. 93 indexed citations
17.
Xue, Wen, Lars Zender, Cornelius Miething, et al.. (2007). Senescence and tumour clearance is triggered by p53 restoration in murine liver carcinomas. Nature. 445(7128). 656–660. 1914 indexed citations breakdown →
18.
Yin, Bin, Scott C. Kogan, Ross A. Dickins, Scott W. Lowe, & David A. Largaespada. (2006). Trp53 loss during in vitro selection contributes to acquired Ara-C resistance in acute myeloid leukemia. Experimental Hematology. 34(5). 631–641. 30 indexed citations
19.
Dickins, Ross A., Michael T. Hemann, Jack T. Zilfou, et al.. (2005). Probing tumor phenotypes using stable and regulated synthetic microRNA precursors. Nature Genetics. 37(11). 1289–1295. 419 indexed citations
20.
Dickins, Ross A., Ian J. Frew, Colin M. House, et al.. (2002). The Ubiquitin Ligase Component Siah1a Is Required for Completion of Meiosis I in Male Mice. Molecular and Cellular Biology. 22(7). 2294–2303. 91 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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