Pamela Bowman

1.7k total citations
28 papers, 1.1k citations indexed

About

Pamela Bowman is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Pamela Bowman has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 11 papers in Endocrinology, Diabetes and Metabolism and 11 papers in Genetics. Recurrent topics in Pamela Bowman's work include Pancreatic function and diabetes (13 papers), Diabetes Management and Research (7 papers) and Diabetes and associated disorders (6 papers). Pamela Bowman is often cited by papers focused on Pancreatic function and diabetes (13 papers), Diabetes Management and Research (7 papers) and Diabetes and associated disorders (6 papers). Pamela Bowman collaborates with scholars based in United Kingdom, United States and Denmark. Pamela Bowman's co-authors include Andrew T. Hattersley, Steven Webber, Sarah E. Flanagan, Adriana Zeevi, Hongxia Zheng, Gilbert J. Burckart, Jatinder K. Lamba, Erin G. Schuetz, Yuk M. Law and Susan A. Miller and has published in prestigious journals such as Blood, Diabetes Care and Kidney International.

In The Last Decade

Pamela Bowman

28 papers receiving 1.1k citations

Peers

Pamela Bowman

SURGE

GENET

EDM

ONCOL

PPCH

Georg Jaremko Sweden

Mario Vilatobá Mexico

Clemens Grupp Germany

Mihatsch Mj Switzerland

Oscar Imventarza Argentina

Álex Gutiérrez-Dalmau Spain

Antonio Di Carlo United States

Ergun Velidedeoğlu United States

A N Békássy Sweden

Adalberto Sessa Italy

Georg Jaremko Sweden

Pamela Bowman

438 ×0.9

SURGE

253 ×0.6

GENET

265 ×0.8

EDM

38 ×0.2

ONCOL

102 ×0.4

PPCH

Citations per year, relative to Pamela Bowman Pamela Bowman (= 1×) peers Georg Jaremko

Countries citing papers authored by Pamela Bowman

Since Specialization

Citations

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

Fields of papers citing papers by Pamela Bowman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela Bowman. 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 Pamela Bowman. The network helps show where Pamela Bowman may publish in the future.

Co-authorship network of co-authors of Pamela Bowman

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela Bowman. A scholar is included among the top collaborators of Pamela Bowman 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 Pamela Bowman. Pamela Bowman 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

Bassan, Haim, et al.. (2021). Novel perspectives of super-high dose sulfonylurea and high-dose oral prednisolone in an infant with DEND syndrome due to V64M heterozygote KCNJ11 mutation. Acta Diabetologica. 58(12). 1665–1672. 2 indexed citations

Franco, Elisa De, Cécile Saint‐Martin, Klaus Brusgaard, et al.. (2020). Update of variants identified in the pancreatic β‐cell K _ATP channel genes KCNJ11 and ABCC8 in individuals with congenital hyperinsulinism and diabetes. Human Mutation. 41(5). 884–905. 107 indexed citations

Bowman, Pamela, Timothy J. McDonald, Bridget Knight, et al.. (2019). Patterns of postmeal insulin secretion in individuals with sulfonylurea-treated KCNJ11 neonatal diabetes show predominance of non-K_ATP-channel pathways. BMJ Open Diabetes Research & Care. 7(1). e000721–e000721. 8 indexed citations

Bowman, Pamela, Ivana Kraljević, Jayne Houghton, et al.. (2019). Transient Neonatal Diabetes: An Etiologic Clue for the Adult Diabetologist. Canadian Journal of Diabetes. 44(2). 128–130. 9 indexed citations

Bowman, Pamela, Jacob Day, Lorna Torrens, et al.. (2018). Cognitive, Neurological, and Behavioral Features in Adults With KCNJ11 Neonatal Diabetes. Diabetes Care. 42(2). 215–224. 21 indexed citations

Bowman, Pamela, et al.. (2018). Collaborative Practice Model: Improving the Delivery of Bad News. Clinical journal of oncology nursing. 22(1). 23–27. 11 indexed citations

Bowman, Pamela, Sarah E. Flanagan, & Andrew T. Hattersley. (2018). Future Roadmaps for Precision Medicine Applied to Diabetes: Rising to the Challenge of Heterogeneity. Journal of Diabetes Research. 2018. 1–12. 20 indexed citations

Clissold, Rhian, Charles Shaw‐Smith, Peter D. Turnpenny, et al.. (2016). Chromosome 17q12 microdeletions but not intragenic HNF1B mutations link developmental kidney disease and psychiatric disorder. Kidney International. 90(1). 203–211. 54 indexed citations

Bowman, Pamela, Bridget Knight, Sarah E. Flanagan, et al.. (2016). Psychiatric morbidity in children with KCNJ11 neonatal diabetes. Diabetic Medicine. 33(10). 1387–1391. 18 indexed citations

10.

Bowman, Pamela & Michael Quinn. (2012). Question 1: Should steroids be used to treat abdominal pain caused by Henoch–Schonlein purpura?. Archives of Disease in Childhood. 97(11). 999.1–1000. 3 indexed citations

11.

Bowman, Pamela, Timothy J. McDonald, Beverley M. Shields, Bridget Knight, & Andrew T. Hattersley. (2011). Validation of a single‐sample urinary C‐peptide creatinine ratio as a reproducible alternative to serum C‐peptide in patients with Type 2 diabetes. Diabetic Medicine. 29(1). 90–93. 26 indexed citations

12.

Jones, Angus G., Rachel Besser, Timothy J. McDonald, et al.. (2011). Urine C‐peptide creatinine ratio is an alternative to stimulated serum C‐peptide measurement in late‐onset, insulin‐treated diabetes. Diabetic Medicine. 28(9). 1034–1038. 32 indexed citations

13.

Bowman, Pamela, Sarah E. Flanagan, Emma L. Edghill, et al.. (2011). Heterozygous ABCC8 mutations are a cause of MODY. Diabetologia. 55(1). 123–127. 131 indexed citations

14.

Bowman, Pamela, et al.. (2011). Carbimazole embryopathy: implications for the choice of antithyroid drugs in pregnancy. QJM. 105(2). 189–193. 29 indexed citations

15.

McDonald, Timothy J., et al.. (2009). Stability and Reproducibility of a Single-Sample Urinary C-Peptide/Creatinine Ratio and Its Correlation with 24-h Urinary C-Peptide. Clinical Chemistry. 55(11). 2035–2039. 57 indexed citations

16.

Zheng, Hongxia, Steven Webber, Adriana Zeevi, et al.. (2003). Tacrolimus Dosing in Pediatric Heart Transplant Patients is Related to CYP3A5 and MDR1 Gene Polymorphisms. American Journal of Transplantation. 3(4). 477–483. 223 indexed citations

17.

Webber, Steven A., Gerard J. Boyle, Steven C. Gribar, et al.. (2002). Polymorphisms in cytokine genes do not predict progression to end-stage heart failure in children. Cardiology in the Young. 12(5). 461–464. 4 indexed citations

18.

Zheng, Hongxia, Steven Webber, Adriana Zeevi, et al.. (2002). The MDR1 polymorphisms at exons 21 and 26 predict steroid weaning in pediatric heart transplant patients. Human Immunology. 63(9). 765–770. 92 indexed citations

19.

Awad, Mohammed R., Steven Webber, Joan Martell, et al.. (2001). The effect of cytokine gene polymorphisms on pediatric heart allograft outcome. The Journal of Heart and Lung Transplantation. 20(6). 625–630. 79 indexed citations

20.

Webber, Steven A., Yuk M. Law, Pamela Bowman, et al.. (2001). Indirect alloresponses are more pronounced in non-rejecting lung than heart allografts. The Journal of Heart and Lung Transplantation. 20(2). 165–166. 2 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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