Ray C. Bartolo

831 total citations
21 papers, 578 citations indexed

About

Ray C. Bartolo is a scholar working on Molecular Biology, Ecology and Hematology. According to data from OpenAlex, Ray C. Bartolo has authored 21 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Ecology and 3 papers in Hematology. Recurrent topics in Ray C. Bartolo's work include RNA Interference and Gene Delivery (5 papers), Cell death mechanisms and regulation (5 papers) and Ion Transport and Channel Regulation (4 papers). Ray C. Bartolo is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Cell death mechanisms and regulation (5 papers) and Ion Transport and Channel Regulation (4 papers). Ray C. Bartolo collaborates with scholars based in Australia, New Zealand and Japan. Ray C. Bartolo's co-authors include Ruth M. Kluck, Grant Dewson, Dana Westphal, Rachel T. Uren, Jason M. Brouwer, Peter E. Czabotar, John A. Donald, Amber E. Alsop, Sweta Iyer and A.Y. Robin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Ray C. Bartolo

20 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ray C. Bartolo Australia 11 433 73 59 54 49 21 578
S. Upadhyay India 9 386 0.9× 42 0.6× 104 1.8× 81 1.5× 46 0.9× 22 712
Jeffrey C. Johnson United States 9 523 1.2× 60 0.8× 15 0.3× 91 1.7× 82 1.7× 12 719
Kelan Chen Australia 11 521 1.2× 81 1.1× 13 0.2× 54 1.0× 98 2.0× 15 765
Thierry Bertomeu Canada 13 431 1.0× 26 0.4× 42 0.7× 98 1.8× 34 0.7× 23 536
Kiyoe Ura Japan 21 1.3k 3.0× 79 1.1× 18 0.3× 81 1.5× 61 1.2× 36 1.4k
Fábio Passetti Brazil 13 309 0.7× 99 1.4× 18 0.3× 37 0.7× 47 1.0× 34 476
Marcia N. Paddock United States 12 391 0.9× 50 0.7× 19 0.3× 104 1.9× 77 1.6× 16 577
Brian Reichholf Austria 8 961 2.2× 281 3.8× 34 0.6× 50 0.9× 78 1.6× 9 1.1k
Julie Collins United States 10 397 0.9× 15 0.2× 81 1.4× 50 0.9× 89 1.8× 14 735
Yanqi Chang United States 12 1.2k 2.7× 70 1.0× 29 0.5× 36 0.7× 58 1.2× 15 1.3k

Countries citing papers authored by Ray C. Bartolo

Since Specialization
Citations

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

Fields of papers citing papers by Ray C. Bartolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ray C. Bartolo. 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 Ray C. Bartolo. The network helps show where Ray C. Bartolo may publish in the future.

Co-authorship network of co-authors of Ray C. Bartolo

This figure shows the co-authorship network connecting the top 25 collaborators of Ray C. Bartolo. A scholar is included among the top collaborators of Ray C. Bartolo 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 Ray C. Bartolo. Ray C. Bartolo 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.
2.
Brown, Lauren M., Andrew Lonsdale, N. Davidson, et al.. (2020). The application of RNA sequencing for the diagnosis and genomic classification of pediatric acute lymphoblastic leukemia. Blood Advances. 4(5). 930–942. 53 indexed citations
3.
Brown, Lauren M., Ray C. Bartolo, N. Davidson, et al.. (2019). Targeted therapy and disease monitoring in CNTRL‐FGFR1‐driven leukaemia. Pediatric Blood & Cancer. 66(10). e27897–e27897. 4 indexed citations
4.
Davidson, N., et al.. (2018). Clinker: visualizing fusion genes detected in RNA-seq data. GigaScience. 7(7). 14 indexed citations
5.
Uren, Rachel T., Martin O’Hely, Sweta Iyer, et al.. (2017). Disordered clusters of Bak dimers rupture mitochondria during apoptosis. eLife. 6. 82 indexed citations
6.
Narayan, Nisha, Belinda Phipson, Simon N. Willis, et al.. (2016). Functionally distinct roles for different miR-155 expression levels through contrasting effects on gene expression, in acute myeloid leukaemia. Leukemia. 31(4). 808–820. 44 indexed citations
7.
Alsop, Amber E., et al.. (2015). Dissociation of Bak α1 helix from the core and latch domains is required for apoptosis. Nature Communications. 6(1). 6841–6841. 46 indexed citations
8.
Brouwer, Jason M., Dana Westphal, Grant Dewson, et al.. (2014). Bak Core and Latch Domains Separate during Activation, and Freed Core Domains Form Symmetric Homodimers. Molecular Cell. 55(6). 938–946. 128 indexed citations
9.
Westphal, Dana, Grant Dewson, Marie Ménard, et al.. (2014). Apoptotic pore formation is associated with in-plane insertion of Bak or Bax central helices into the mitochondrial outer membrane. Proceedings of the National Academy of Sciences. 111(39). E4076–85. 91 indexed citations
10.
Bartolo, Ray C., et al.. (2013). Bak apoptotic function is not directly regulated by phosphorylation. Cell Death and Disease. 4(1). e452–e452. 12 indexed citations
11.
12.
Takei, Yoshio, Ray C. Bartolo, Hiroaki Fujihara, Yoichi Ueta, & John A. Donald. (2012). Water deprivation induces appetite and alters metabolic strategy in Notomys alexis : unique mechanisms for water production in the desert. Proceedings of the Royal Society B Biological Sciences. 279(1738). 2599–2608. 39 indexed citations
13.
Gill, Michael, et al.. (2011). The distribution and expression of CFTR restricts electrogenic anion secretion to the ileum of the brushtail possum, Trichosurus vulpecula. Journal of Experimental Biology. 214(11). 1943–1954. 2 indexed citations
14.
Maqbool, Nauman J., et al.. (2009). Molecular and functional characterization of the cystic fibrosis transmembrane conductance regulator from the Australian common brushtail possum, Trichosurus vulpecula. Journal of Comparative Physiology B. 180(4). 545–561. 7 indexed citations
15.
16.
Bartolo, Ray C., et al.. (2009). Secretagogues stimulate electrogenic HCO3–secretion in the ileum of the brushtail possum,Trichosurus vulpecula:evidence for the role of a Na+/HCO3– cotransporter. Journal of Experimental Biology. 212(16). 2645–2655. 10 indexed citations
17.
18.
Bartolo, Ray C. & John A. Donald. (2007). The distribution of renal hyaluronan and the expression of hyaluronan synthases during water deprivation in the Spinifex hopping mouse, Notomys alexis. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 148(4). 853–860. 5 indexed citations
19.
Hyodo, Susumu, Akatsuki Kawakoshi, Ray C. Bartolo, et al.. (2006). Extremely high conservation in the untranslated region as well as the coding region of CNP mRNAs throughout elasmobranch species. General and Comparative Endocrinology. 148(2). 181–186. 9 indexed citations
20.
Donald, John A. & Ray C. Bartolo. (2003). Cloning and mRNA expression of guanylin, uroguanylin, and guanylyl cyclase C in the Spinifex hopping mouse, Notomys alexis. General and Comparative Endocrinology. 132(1). 171–179. 6 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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