Patrick J. DiMario

992 total citations
33 papers, 740 citations indexed

About

Patrick J. DiMario is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Patrick J. DiMario has authored 33 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Patrick J. DiMario's work include RNA modifications and cancer (18 papers), RNA and protein synthesis mechanisms (16 papers) and RNA Research and Splicing (16 papers). Patrick J. DiMario is often cited by papers focused on RNA modifications and cancer (18 papers), RNA and protein synthesis mechanisms (16 papers) and RNA Research and Splicing (16 papers). Patrick J. DiMario collaborates with scholars based in United States, United Kingdom and Switzerland. Patrick J. DiMario's co-authors include Allison James, Himanshu Raje, Yubo Wang, Anthony P. Mahowald, Michele L. Rankin, Fang He, Anne Grove, Anirban Mukherjee, Joseph G. Gall and Victoria Robinson and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and The Journal of Cell Biology.

In The Last Decade

Patrick J. DiMario

33 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick J. DiMario United States	16	605	78	76	68	63	33	740
Andrew Shaw United States	14	457 0.8×	62 0.8×	78 1.0×	140 2.1×	55 0.9×	19	701
D. Adam Mason United States	7	680 1.1×	97 1.2×	30 0.4×	69 1.0×	66 1.0×	9	831
Juliusz Mieszczanek United Kingdom	18	912 1.5×	83 1.1×	159 2.1×	100 1.5×	32 0.5×	25	1.1k
Clara Moch France	13	339 0.6×	75 1.0×	60 0.8×	90 1.3×	48 0.8×	19	460
Ronald J. Krieser United States	15	511 0.8×	57 0.7×	52 0.7×	54 0.8×	46 0.7×	15	680
Orbán Komonyi Hungary	15	576 1.0×	79 1.0×	35 0.5×	103 1.5×	118 1.9×	24	711
Haley Ruth Vaseghi United States	6	681 1.1×	97 1.2×	89 1.2×	38 0.6×	26 0.4×	7	875
Michael Zheng United States	6	572 0.9×	88 1.1×	98 1.3×	40 0.6×	25 0.4×	9	761
Stefan Bresson United Kingdom	12	739 1.2×	103 1.3×	52 0.7×	51 0.8×	47 0.7×	15	855
Joseph B. Wall United States	5	480 0.8×	84 1.1×	87 1.1×	36 0.5×	25 0.4×	5	662

Countries citing papers authored by Patrick J. DiMario

Since Specialization

Citations

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

Fields of papers citing papers by Patrick J. DiMario

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick J. DiMario

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick J. DiMario. A scholar is included among the top collaborators of Patrick J. DiMario 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 Patrick J. DiMario. Patrick J. DiMario 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

Tartakoff, Alan M., Patrick J. DiMario, Eduard C. Hurt, et al.. (2022). The dual nature of the nucleolus. Genes & Development. 36(13-14). 765–769. 18 indexed citations

DiMario, Patrick J., et al.. (2020). Nucleolar stress in Drosophila neuroblasts, a model for human ribosomopathies. Biology Open. 9(4). 9 indexed citations

DiMario, Patrick J., et al.. (2019). The Nopp140 gene in Drosophila melanogaster displays length polymorphisms in its large repetitive second exon. Molecular Genetics and Genomics. 294(4). 1073–1083. 3 indexed citations

Baserga, Susan J. & Patrick J. DiMario. (2018). Emerging Roles for the Nucleolus 2017. Molecular Biology of the Cell. 29(7). 773–775. 5 indexed citations

James, Allison, et al.. (2014). Nucleolar stress with and without p53. Nucleus. 5(5). 402–426. 204 indexed citations

He, Fang, et al.. (2014). Deletion of Drosophila Nopp140 induces subcellular ribosomopathies. Chromosoma. 124(2). 191–208. 18 indexed citations

James, Allison, et al.. (2013). Nucleolar stress in Drosophila melanogaster. Nucleus. 4(2). 123–133. 17 indexed citations

He, Fang & Patrick J. DiMario. (2010). Drosophila delta-1-pyrroline-5-carboxylate dehydrogenase (P5CDh) is required for proline breakdown and mitochondrial integrity—Establishing a fly model for human type II hyperprolinemia. Mitochondrion. 11(3). 397–404. 21 indexed citations

Robinson, Victoria, et al.. (2009). Knockdown of theDrosophilaGTPase Nucleostemin 1 Impairs Large Ribosomal Subunit Biogenesis, Cell Growth, and Midgut Precursor Cell Maintenance. Molecular Biology of the Cell. 20(20). 4424–4434. 35 indexed citations

10.

Mukherjee, Anirban, Patrick J. DiMario, & Anne Grove. (2008). Mycobacterium smegmatishistone-like protein Hlp is nucleoid associated. FEMS Microbiology Letters. 291(2). 232–240. 26 indexed citations

11.

DiMario, Patrick J., et al.. (2007). RNAi Knockdown of Nopp140 InducesMinute-like Phenotypes inDrosophila. Molecular Biology of the Cell. 18(6). 2179–2191. 20 indexed citations

12.

DiMario, Patrick J., et al.. (2003). Deletion and site-specific mutagenesis of nucleolin's carboxy GAR domain. Chromosoma. 111(7). 461–469. 22 indexed citations

13.

Gilchrist, James S.C., Bernard Abrenica, Patrick J. DiMario, Michael P. Czubryt, & Grant N. Pierce. (2002). Nucleolin is a calcium‐binding protein. Journal of Cellular Biochemistry. 85(2). 268–278. 11 indexed citations

14.

Zhu, Yingjie, Dongrui R. Lu, & Patrick J. DiMario. (1999). Nucleolin, defective for MPF phosphorylation, localizes normally during mitosis and nucleologenesis. Histochemistry and Cell Biology. 111(6). 477–487. 8 indexed citations

15.

DiMario, Patrick J., et al.. (1996). Structural changes in oocyte nucleoli ofXenopus laevis during oogenesis and meiotic maturation. Chromosoma. 105(2). 111–121. 16 indexed citations

16.

Xu, Xiaobing, et al.. (1995). Helix formation in model peptides based on nucleolin TPAKK motifs. Biopolymers. 35(1). 93–102. 8 indexed citations

17.

Jones, Louis, et al.. (1993). A complete cDNA sequence for ribosomal protein S6 ofXenopus laevis. Nucleic Acids Research. 21(21). 4981–4981. 4 indexed citations

18.

Rankin, Michele L., et al.. (1993). A complete nucleolin cDNA sequence fromXenopus laevis. Nucleic Acids Research. 21(1). 169–169. 16 indexed citations

19.

Rankin, Michele L., et al.. (1993). The Gly/Arg-rich (GAR) domain of Xenopus nucleolin facilitates in vitro nucleic acid binding and in vivo nucleolar localization.. Molecular Biology of the Cell. 4(11). 1189–1204. 59 indexed citations

20.

DiMario, Patrick J. & Joseph G. Gall. (1990). Nucleolin from the multiple nucleoli of amphibian oocyte nuclei. Chromosoma. 99(2). 87–94. 7 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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