David M. Barry

1.3k total citations
18 papers, 960 citations indexed

About

David M. Barry is a scholar working on Molecular Biology, Cell Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, David M. Barry has authored 18 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in David M. Barry's work include Hippo pathway signaling and YAP/TAZ (7 papers), Metabolism and Genetic Disorders (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). David M. Barry is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (7 papers), Metabolism and Genetic Disorders (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). David M. Barry collaborates with scholars based in United States, New Zealand and United Kingdom. David M. Barry's co-authors include Ondine Cleaver, George E. Davis, D. M. O. Becroft, Pieter R. Norden, Ke Xu, Edwin A. Mitchell, I B Hassall, John Thompson, Robert Scragg and Barry Taylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nature Communications.

In The Last Decade

David M. Barry

18 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David M. Barry United States	15	329	173	173	151	149	18	960
George Schneider United States	17	361 1.1×	71 0.4×	222 1.3×	67 0.4×	159 1.1×	59	1.6k
Lars Ødum Denmark	18	273 0.8×	70 0.4×	110 0.6×	29 0.2×	107 0.7×	58	1.0k
Süreyya Savaşan United States	16	208 0.6×	286 1.7×	58 0.3×	80 0.5×	79 0.5×	81	943
Nancy C. Allen United States	16	309 0.9×	46 0.3×	155 0.9×	30 0.2×	145 1.0×	24	1.1k
Will R. Blackburn United States	16	179 0.5×	92 0.5×	60 0.3×	28 0.2×	103 0.7×	30	767
Gabriela Surdulescu United Kingdom	18	472 1.4×	143 0.8×	542 3.1×	49 0.3×	35 0.2×	28	1.8k
Gillian D. Bryant‐Greenwood United States	33	356 1.1×	78 0.5×	188 1.1×	70 0.5×	211 1.4×	73	2.8k
Joachim Kreuder Germany	19	508 1.5×	120 0.7×	105 0.6×	19 0.1×	231 1.6×	53	1.4k
Hermann Kalhoff Germany	18	201 0.6×	59 0.3×	158 0.9×	24 0.2×	170 1.1×	90	1.2k
L.A.H. Monnens Netherlands	19	680 2.1×	118 0.7×	93 0.5×	18 0.1×	321 2.2×	49	1.2k

Countries citing papers authored by David M. Barry

Since Specialization

Citations

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

Fields of papers citing papers by David M. Barry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Barry. 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 David M. Barry. The network helps show where David M. Barry may publish in the future.

Co-authorship network of co-authors of David M. Barry

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

All Works

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18 of 18 papers shown

Barry, David M., Derk D. Binns, Chonlarat Wichaidit, et al.. (2022). WNK1 collaborates with TGF-β in endothelial cell junction turnover and angiogenesis. Proceedings of the National Academy of Sciences. 119(30). e2203743119–e2203743119. 24 indexed citations

Barry, David M., Elizabeth A. McMillan, Balvir Kunar, et al.. (2019). Molecular determinants of nephron vascular specialization in the kidney. Nature Communications. 10(1). 5705–5705. 80 indexed citations

Kim, Dae Joong, Pieter R. Norden, David M. Barry, et al.. (2017). Src- and Fyn-dependent apical membrane trafficking events control endothelial lumen formation during vascular tube morphogenesis. PLoS ONE. 12(9). e0184461–e0184461. 14 indexed citations

Chong, Diana C., Alethia Villasenor, Judith Magenheim, et al.. (2016). Vascular development in the vertebrate pancreas. Developmental Biology. 420(1). 67–78. 17 indexed citations

Norden, Pieter R., Dae Joong Kim, David M. Barry, Ondine Cleaver, & George E. Davis. (2016). Cdc42 and k-Ras Control Endothelial Tubulogenesis through Apical Membrane and Cytoskeletal Polarization: Novel Stimulatory Roles for GTPase Effectors, the Small GTPases, Rac2 and Rap1b, and Inhibitory Influence of Arhgap31 and Rasa1. PLoS ONE. 11(1). e0147758–e0147758. 46 indexed citations

Koo, Yeon, David M. Barry, Ke Xu, et al.. (2016). Rasip1 is essential to blood vessel stability and angiogenic blood vessel growth. Angiogenesis. 19(2). 173–190. 28 indexed citations

Barry, David M., Yeon Koo, Pieter R. Norden, et al.. (2016). Rasip1-Mediated Rho GTPase Signaling Regulates Blood Vessel Tubulogenesis via Nonmuscle Myosin II. Circulation Research. 119(7). 810–826. 50 indexed citations

Barry, David M., Ke Xu, Stryder M. Meadows, et al.. (2015). Cdc42 is required for cytoskeletal support of endothelial cell adhesion during blood vessel formation. Development. 142(17). 3058–70. 84 indexed citations

Barry, David M., Ke Xu, Stryder M. Meadows, et al.. (2015). Cdc42 is required for cytoskeletal support of endothelial cell adhesion during blood vessel formation in mice. Journal of Cell Science. 128(18). e1.2–e1.2. 22 indexed citations

10.

Pattemore, Philip, Lis Ellison‐Loschmann, M. Innes Asher, et al.. (2004). Asthma prevalence in European, Maori, and Pacific children in New Zealand: ISAAC study. Pediatric Pulmonology. 37(5). 433–442. 26 indexed citations

11.

Ford, R P, Philip J. Schlüter, Elizabeth A. Mitchell, et al.. (1999). Water fluoridation and the sudden infant death syndrome.. PubMed. 112(1093). 286–9. 4 indexed citations

12.

Mitchell, Edwin A., Angela Stewart, Barry Taylor, et al.. (1993). Smoking and the Sudden Infant Death Syndrome. PEDIATRICS. 91(5). 893–896. 213 indexed citations

13.

Barry, David M., et al.. (1991). Prevalence of asthma among 12 year old children in New Zealand and South Wales: a comparative survey.. Thorax. 46(6). 405–409. 51 indexed citations

14.

Becroft, D. M. O., David M. Barry, Dianne Webster, & H. Anne Simmonds. (1984). Failure of protein loading tests to identify heterozygosity for ornithine carbamoyltransferase deficiency. Journal of Inherited Metabolic Disease. 7(4). 157–159. 32 indexed citations

15.

Webster, Dianne, H. Anne Simmonds, David M. Barry, & D. M. O. Becroft. (1980). Pyrimidine and purine metabolites in ornithine carbamoyl transferase deficiency. Journal of Inherited Metabolic Disease. 4(1). 27–31. 24 indexed citations

16.

Barry, David M., et al.. (1977). Increased incidence of gram-negative neonatal sepsis with intramuscula iron administration.. PubMed. 60(6). 908–12. 123 indexed citations

17.

Barry, David M., et al.. (1977). Increased Incidence of Gram-Negative Neonatal Sepsis With Intramuscular Iron Administration. PEDIATRICS. 60(6). 908–912. 116 indexed citations

18.

Barry, David M., et al.. (1974). IRON AND INFECTION IN THE NEWBORN. The Lancet. 304(7893). 1385–1386. 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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