Susan P. Bagby

1.9k total citations
41 papers, 1.3k citations indexed

About

Susan P. Bagby is a scholar working on Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Susan P. Bagby has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pediatrics, Perinatology and Child Health, 12 papers in Cardiology and Cardiovascular Medicine and 8 papers in Molecular Biology. Recurrent topics in Susan P. Bagby's work include Birth, Development, and Health (19 papers), Renin-Angiotensin System Studies (8 papers) and Pregnancy and preeclampsia studies (5 papers). Susan P. Bagby is often cited by papers focused on Birth, Development, and Health (19 papers), Renin-Angiotensin System Studies (8 papers) and Pregnancy and preeclampsia studies (5 papers). Susan P. Bagby collaborates with scholars based in United States, United Kingdom and Russia. Susan P. Bagby's co-authors include Mark A. Hanson, David J.P. Barker, David J.P. Barker, Micah L. Thorp, Cynthia D. Morris, R. Mass, Walter J. McDonald, Damali N. Martin, Stephanie T. Chung and Nishadi Rajapakse and has published in prestigious journals such as Journal of the American College of Cardiology, Circulation Research and American Journal of Public Health.

In The Last Decade

Susan P. Bagby

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan P. Bagby United States 17 515 264 263 229 182 41 1.3k
Christine Maric‐Bilkan United States 20 151 0.3× 157 0.6× 94 0.4× 315 1.4× 93 0.5× 29 1.3k
Nils‐Olov Lunell Sweden 26 810 1.6× 109 0.4× 864 3.3× 266 1.2× 111 0.6× 91 1.7k
Robert P.J. Michels Netherlands 19 320 0.6× 287 1.1× 156 0.6× 112 0.5× 109 0.6× 31 1.9k
M. D. Lindheimer United States 23 442 0.9× 231 0.9× 562 2.1× 226 1.0× 26 0.1× 46 1.5k
P. Almgren Sweden 16 174 0.3× 338 1.3× 246 0.9× 101 0.4× 81 0.4× 28 1.1k
C.–D. Agardh Sweden 23 141 0.3× 233 0.9× 94 0.4× 149 0.7× 191 1.0× 42 1.6k
Alexandra Margeli Greece 19 369 0.7× 174 0.7× 209 0.8× 100 0.4× 240 1.3× 47 1.2k
David Merrill United States 25 875 1.7× 311 1.2× 1.1k 4.3× 823 3.6× 122 0.7× 81 2.5k
Joan DiMartino-Nardi United States 23 335 0.7× 476 1.8× 86 0.3× 137 0.6× 85 0.5× 40 1.6k
Leonard I. Kleinman United States 21 445 0.9× 237 0.9× 75 0.3× 105 0.5× 69 0.4× 66 1.4k

Countries citing papers authored by Susan P. Bagby

Since Specialization
Citations

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

Fields of papers citing papers by Susan P. Bagby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan P. Bagby. 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 Susan P. Bagby. The network helps show where Susan P. Bagby may publish in the future.

Co-authorship network of co-authors of Susan P. Bagby

This figure shows the co-authorship network connecting the top 25 collaborators of Susan P. Bagby. A scholar is included among the top collaborators of Susan P. Bagby 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 Susan P. Bagby. Susan P. Bagby 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.
Lanham, Stuart, et al.. (2019). Altered vertebral and femoral bone structure in juvenile offspring of microswine subject to maternal low protein nutritional challenge. Physiological Reports. 7(11). e14081–e14081. 1 indexed citations
2.
Belcik, J. Todd, Yue Qi, Beat A. Kaufmann, et al.. (2012). Cardiovascular and Systemic MicrovascularEffects of Anti-Vascular Endothelial Growth Factor Therapy for Cancer. Journal of the American College of Cardiology. 60(7). 618–625. 42 indexed citations
3.
Morgan, Terry K., et al.. (2012). Altered adipocyte structure and function in nutritionally programmed microswine offspring. Journal of Developmental Origins of Health and Disease. 3(3). 198–209. 4 indexed citations
4.
Purnell, Jonathan Q., et al.. (2012). Accelerated growth without prepubertal obesity in nutritionally programmed microswine offspring. Journal of Developmental Origins of Health and Disease. 3(2). 92–102. 4 indexed citations
5.
Denisenko, Oleg, et al.. (2010). Maternal malnutrition and placental insufficiency induce global downregulation of gene expression in fetal kidneys. Journal of Developmental Origins of Health and Disease. 2(2). 124–133. 15 indexed citations
6.
Rizk, Dana V., Claudine Jurkovitz, Emir Veledar, et al.. (2009). Quality of Life in Autosomal Dominant Polycystic Kidney Disease Patients not yet on Dialysis. Clinical Journal of the American Society of Nephrology. 4(3). 560–566. 64 indexed citations
7.
Park, Jin Young, William E. Schutzer, Jessie N. Lindsley, et al.. (2007). p21 is decreased in polycystic kidney disease and leads to increased epithelial cell cycle progression: roscovitine augments p21 levels. BMC Nephrology. 8(1). 12–12. 52 indexed citations
8.
9.
Bagby, Susan P.. (2007). Maternal Nutrition, Low Nephron Number, and Hypertension in Later Life: Pathways of Nutritional Programming1. Journal of Nutrition. 137(4). 1066–1072. 116 indexed citations
10.
Barker, David J.P. & Susan P. Bagby. (2005). Developmental Antecedents of Cardiovascular Disease. Journal of the American Society of Nephrology. 16(9). 2537–2544. 127 indexed citations
11.
Bagby, Susan P., et al.. (2002). ANG II AT1 and AT2 receptors in developing kidney of normal microswine. American Journal of Physiology-Renal Physiology. 283(4). F755–F764. 17 indexed citations
12.
Bagby, Susan P., et al.. (2002). Angiotensin II Type 1 and 2 Receptors in Conduit Arteries of Normal Developing Microswine. Arteriosclerosis Thrombosis and Vascular Biology. 22(7). 1113–1121. 13 indexed citations
13.
Holcomb, Scott, et al.. (1998). Accuracy of an Automated Blood Pressure Device in Stable Inpatients. Archives of Internal Medicine. 158(7). 714–714. 18 indexed citations
14.
Holden, William E., et al.. (1992). Influence of growth oxygen level on eicosanoid release from lung endothelial cells during hypoxia. American Journal of Physiology-Lung Cellular and Molecular Physiology. 263(4). L454–L459. 2 indexed citations
15.
Vidt, Donald G., et al.. (1992). Nontraditional combination pharmacotherapy of hypertension. Cleveland Clinic Journal of Medicine. 59(5). 459–468. 4 indexed citations
16.
McDonald, Walter J., et al.. (1990). Cognitive function in hypertensives treated with atenolol or propranolol. Journal of General Internal Medicine. 5(4). 310–318. 16 indexed citations
17.
Bagby, Susan P. & Eugene F. Fuchs. (1989). Chronic MK421 fails to modify evolution of hypertension in neonatally coarcted pups.. Hypertension. 13(2). 91–101. 4 indexed citations
18.
Bagby, Susan P. & William E. Holden. (1989). An in vitro system for study of effects of angiotensin I on cultured endothelial cells. Cardiovascular Research. 23(4). 279–285. 3 indexed citations
19.
Bagby, Susan P. & Gerald M. Baur. (1983). Canine neonatally induced coarctation hypertension in the second year. Variably hyperresponsive plasma renin activity.. Hypertension. 5(3). 328–335. 3 indexed citations
20.

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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