Mark G. Dobson

1.1k total citations
15 papers, 558 citations indexed

About

Mark G. Dobson is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, Mark G. Dobson has authored 15 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Pediatrics, Perinatology and Child Health and 4 papers in Genetics. Recurrent topics in Mark G. Dobson's work include Estrogen and related hormone effects (4 papers), Pediatric Urology and Nephrology Studies (3 papers) and Urological Disorders and Treatments (3 papers). Mark G. Dobson is often cited by papers focused on Estrogen and related hormone effects (4 papers), Pediatric Urology and Nephrology Studies (3 papers) and Urological Disorders and Treatments (3 papers). Mark G. Dobson collaborates with scholars based in Australia, United Kingdom and Ireland. Mark G. Dobson's co-authors include Richard A. Bryant, Samuel B. Harvey, Josie Milligan-Saville, Christopher P.F. Redfern, Nigel Unwin, Jolanta U. Weaver, Helen M. Paterson, Richard I. Kemp, Emily L. Harkness and David Barton and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and FEBS Letters.

In The Last Decade

Mark G. Dobson

15 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark G. Dobson Australia	11	143	120	115	102	77	15	558
Yvette M. Vigna Canada	12	87 0.6×	37 0.3×	206 1.8×	177 1.7×	117 1.5×	14	949
E Myon France	14	64 0.4×	77 0.6×	242 2.1×	10 0.1×	103 1.3×	26	941
Maria de Fátima Borges Brazil	11	47 0.3×	54 0.5×	86 0.7×	43 0.4×	51 0.7×	59	362
Natalie Nokoff United States	17	116 0.8×	49 0.4×	184 1.6×	144 1.4×	156 2.0×	63	882
Paola C. Aldana United States	9	20 0.1×	19 0.2×	146 1.3×	32 0.3×	47 0.6×	15	398
Silke Zachariae Germany	9	46 0.3×	60 0.5×	12 0.1×	101 1.0×	35 0.5×	17	364
E. S. Mitchell United States	12	30 0.2×	38 0.3×	261 2.3×	94 0.9×	15 0.2×	14	450
Raquel Huerta Mexico	11	50 0.3×	50 0.4×	219 1.9×	54 0.5×	32 0.4×	17	435
Jeanne Walter United States	9	68 0.5×	48 0.4×	13 0.1×	10 0.1×	46 0.6×	14	464
Joseph R. Bona United States	8	136 1.0×	203 1.7×	55 0.5×	14 0.1×	21 0.3×	10	639

Countries citing papers authored by Mark G. Dobson

Since Specialization

Citations

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

Fields of papers citing papers by Mark G. Dobson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark G. Dobson

This figure shows the co-authorship network connecting the top 25 collaborators of Mark G. Dobson. A scholar is included among the top collaborators of Mark G. 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 Mark G. Dobson. Mark G. 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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15 of 15 papers shown

Darlow, John M., Mark G. Dobson, Andrew Green, Prem Puri, & David Barton. (2020). Investigation of DNA variants specific to ROBO2 Isoform ‘a’ in Irish vesicoureteric reflux patients reveals marked CpG island variation. Scientific Reports. 10(1). 2265–2265. 2 indexed citations

Tan, Leona, Samuel B. Harvey, Mark Deady, et al.. (2020). Workplace Mental Health Awareness Training. Journal of Occupational and Environmental Medicine. 63(4). 311–316. 5 indexed citations

Darlow, John M., Rebecca Darlay, Mark G. Dobson, et al.. (2017). Genome-wide linkage and association study implicates the 10q26 region as a major genetic contributor to primary nonsyndromic vesicoureteric reflux. Scientific Reports. 7(1). 14595–14595. 11 indexed citations

Milligan-Saville, Josie, Leona Tan, Aimée Gayed, et al.. (2017). Workplace mental health training for managers and its effect on sick leave in employees: a cluster randomised controlled trial. The Lancet Psychiatry. 4(11). 850–858. 105 indexed citations

Milligan-Saville, Josie, Helen M. Paterson, Emily L. Harkness, et al.. (2017). The Amplification of Common Somatic Symptoms by Posttraumatic Stress Disorder in Firefighters. Journal of Traumatic Stress. 30(2). 142–148. 25 indexed citations

Harvey, Samuel B., Josie Milligan-Saville, Helen M. Paterson, et al.. (2015). The mental health of fire-fighters: An examination of the impact of repeated trauma exposure. Australian & New Zealand Journal of Psychiatry. 50(7). 649–658. 132 indexed citations

Dobson, Mark G., John M. Darlow, Manuela Hunziker, et al.. (2013). Heterozygous non-synonymous ROBO2 variants are unlikely to be sufficient to cause familial vesicoureteric reflux. Kidney International. 84(2). 327–337. 11 indexed citations

Darlow, John M., Mark G. Dobson, Rebecca Darlay, et al.. (2013). A new genome scan for primary nonsyndromic vesicoureteric reflux emphasizes high genetic heterogeneity and shows linkage and association with various genes already implicated in urinary tract development. Molecular Genetics & Genomic Medicine. 2(1). 7–29. 17 indexed citations

Dobson, Mark G., Paul Galvin, & David Barton. (2007). Emerging technologies for point-of-care genetic testing. Expert Review of Molecular Diagnostics. 7(4). 359–370. 36 indexed citations

10.

Lovat, Penny E., Mark G. Dobson, Archie J. Malcolm, A. D. J. Pearson, & Christopher P.F. Redfern. (2001). Differential gene regulation by 9-cis and all-trans retinoic acid in neuroblastoma cells. Medical and Pediatric Oncology. 36(1). 135–138. 2 indexed citations

11.

Dobson, Mark G., Christopher P.F. Redfern, Nigel Unwin, & Jolanta U. Weaver. (2001). The N363S Polymorphism of the Glucocorticoid Receptor: Potential Contribution to Central Obesity in Men and Lack of Association with Other Risk Factors for Coronary Heart Disease and Diabetes Mellitus1. The Journal of Clinical Endocrinology & Metabolism. 86(5). 2270–2274. 108 indexed citations

12.

Dobson, Mark G.. (2001). The N363S Polymorphism of the Glucocorticoid Receptor: Potential Contribution to Central Obesity in Men and Lack of Association with Other Risk Factors for Coronary Heart Disease and Diabetes Mellitus. The Journal of Clinical Endocrinology & Metabolism. 86(5). 2270–2274. 71 indexed citations

13.

Lovat, Penny E., Margherita Annicchiarico‐Petruzzelli, Marco Corazzari, et al.. (1999). Differential effects of retinoic acid isomers on the expression of nuclear receptor co‐regulators in neuroblastoma. FEBS Letters. 445(2-3). 415–419. 14 indexed citations

14.

Dobson, Mark G., et al.. (1993). Purification and characterization of the plasminogen activator inhibitors PAI-1, PAI-2, and PN-1 from the human glioblastoma U138. Biochemistry and Cell Biology. 71(5-6). 248–254. 3 indexed citations

15.

Rehemtulla, Alnawaz, Patricia Murphy, Mark G. Dobson, & David A. Hart. (1988). Purification and partial characterization of a plasminogen activator inhibitor from the human glioblastoma, U138. Biochemistry and Cell Biology. 66(12). 1270–1277. 16 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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