Victoria Parker

2.8k total citations · 1 hit paper
25 papers, 774 citations indexed

About

Victoria Parker is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Victoria Parker has authored 25 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Victoria Parker's work include Diabetes Treatment and Management (12 papers), Pharmacology and Obesity Treatment (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Victoria Parker is often cited by papers focused on Diabetes Treatment and Management (12 papers), Pharmacology and Obesity Treatment (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). Victoria Parker collaborates with scholars based in United Kingdom, United States and Sweden. Victoria Parker's co-authors include Kim M. Keppler‐Noreuil, Robert K. Semple, Thomas N. Darling, Julián A. Martínez-Agosto, Leslie G. Biesecker, Ahmad I. Alomari, Marjorie J. Lindhurst, Marybeth Ezaki, Jonathan J. Rios and Julie C. Sapp and has published in prestigious journals such as Diabetes, Journal of the American Society of Nephrology and Gene.

In The Last Decade

Victoria Parker

24 papers receiving 760 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PIK3CA‐related overgrowth spectrum (PROS): Diagnostic and testing eligibility criteria, differential diagnosis, and evaluation

2014 326 citations Kim M. Keppler‐Noreuil, Jonathan J. Rios et al. American Journal of Medical Genetics Part A profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Victoria Parker United Kingdom	10	367	274	174	127	123	25	774
Hindi Al‐Hindi Saudi Arabia	19	165 0.4×	449 1.6×	207 1.2×	390 3.1×	83 0.7×	76	1.1k
Sacha B. Geutskens Netherlands	15	170 0.5×	363 1.3×	176 1.0×	60 0.5×	120 1.0×	21	957
Hiroshi Nagura Japan	18	318 0.9×	197 0.7×	94 0.5×	76 0.6×	52 0.4×	26	851
Ja‐Hyun Jang South Korea	17	80 0.2×	382 1.4×	300 1.7×	118 0.9×	62 0.5×	121	990
Hyon J. Kim United States	15	128 0.3×	463 1.7×	145 0.8×	71 0.6×	44 0.4×	33	824
Shailendra Maheshwari India	7	113 0.3×	230 0.8×	193 1.1×	98 0.8×	40 0.3×	13	642
Laurent Delpy France	20	55 0.1×	304 1.1×	241 1.4×	105 0.8×	101 0.8×	37	1.2k
Jeroen Declercq Belgium	17	166 0.5×	392 1.4×	175 1.0×	65 0.5×	74 0.6×	34	772
Mikhail N. Zoubine United States	13	74 0.2×	309 1.1×	64 0.4×	48 0.4×	186 1.5×	17	705
Fernando J. Rossello Australia	21	132 0.4×	756 2.8×	194 1.1×	40 0.3×	36 0.3×	40	1.1k

Countries citing papers authored by Victoria Parker

Since Specialization

Citations

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

Fields of papers citing papers by Victoria Parker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Parker

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

Daniels, Samuel J., Cecilia Karlsson, Patrick Schrauwen, & Victoria Parker. (2025). Glucagon-like peptide-1 receptor agonism and end-organ protection. Trends in Endocrinology and Metabolism. 36(4). 301–315. 3 indexed citations

Parker, Victoria, Lars Hansen, Darren Robertson, et al.. (2025). Pharmacokinetic‐pharmacodynamic (PK/PD) modelling of cotadutide effect in patients with chronic kidney disease and type 2 diabetes mellitus. British Journal of Clinical Pharmacology. 91(9). 2672–2683.

Parker, Victoria, et al.. (2025). Role of MicroRNAs in regulating sarcoplasmic reticulum calcium handling and their implications for cardiomyocyte function and heart disease. Current Problems in Cardiology. 50(3). 102980–102980. 1 indexed citations

Ueckert, Sebastian, Lina Zhou, Jenny Cheng, et al.. (2024). Exposure–response modeling for nausea incidence for cotadutide using a Markov modeling approach. CPT Pharmacometrics & Systems Pharmacology. 13(9). 1582–1594. 2 indexed citations

White, Tom, Peter Fenici, Kathryn Rough, et al.. (2024). Prediction of cardiovascular risk factors from retinal fundus photographs: Validation of a deep learning algorithm in a prospective non‐interventional study in Kenya. Diabetes Obesity and Metabolism. 26(7). 2722–2731. 3 indexed citations

Golubić, Rajna, Jane Kennet, Victoria Parker, et al.. (2024). Dual glucagon‐like peptide ‐1 and glucagon receptor agonism reduces energy intake in type 2 diabetes with obesity. Diabetes Obesity and Metabolism. 26(7). 2634–2644. 9 indexed citations

Parker, Victoria, Darren Robertson, Bas Havekes, et al.. (2023). Cotadutide promotes glycogenolysis in people with overweight or obesity diagnosed with type 2 diabetes. Nature Metabolism. 5(12). 2086–2093. 35 indexed citations

Kiddle, Steven J., Daniel Bean, Phillip R. Hunt, et al.. (2023). Evaluating clinical outcomes and prognosis in patients with cirrhosis and portal hypertension: a retrospective observational cohort study. BMJ Open Gastroenterology. 10(1). e001234–e001234. 1 indexed citations

Sunnåker, Mikael, et al.. (2023). Pharmacokinetics and Tolerability of Zibotentan in Patients with Concurrent Moderate Renal and Moderate Hepatic Impairment. Clinical Pharmacokinetics. 62(12). 1713–1724. 3 indexed citations

10.

Robertson, Darren, Lars Hansen, Lutz Jermutus, et al.. (2023). #3000 EFFICACY AND SAFETY OF COTADUTIDE, A DUAL GLP1-GLUCAGON RECEPTOR AGONIST, IN PATIENTS WITH CHRONIC KIDNEY DISEASE AND T2DM. Nephrology Dialysis Transplantation. 38(Supplement_1). 1 indexed citations

11.

Parker, Victoria, Heike Schlichthaar, Fraser W. Gibb, et al.. (2022). Efficacy and safety of cotadutide, a dual glucagon‐like peptide‐1 and glucagon receptor agonist, in a randomized phase 2a study of patients with type 2 diabetes and chronic kidney disease. Diabetes Obesity and Metabolism. 24(7). 1360–1369. 56 indexed citations

12.

Douzgou, Sofia, Eulàlia Baselga, Moise Danielpour, et al.. (2021). A standard of care for individuals with PIK3CA ‐related disorders: An international expert consensus statement. Clinical Genetics. 101(1). 32–47. 20 indexed citations

13.

Robertson, Darren, Lars Hansen, Phil Ambery, et al.. (2020). 354-OR: Cotadutide (medi0382), a Dual Receptor Agonist with Glucagon-Like Peptide-1 and Glucagon Activity, Modulates Hepatic Glycogen and Fat Content. Diabetes. 69(Supplement_1). 5 indexed citations

14.

Keppler‐Noreuil, Kim M., Victoria Parker, Thomas N. Darling, & Julián A. Martínez-Agosto. (2016). Somatic overgrowth disorders of the PI3K/AKT/mTOR pathway & therapeutic strategies. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 172(4). 402–421. 183 indexed citations

15.

Tripolszki, Kornélia, Rachel Knox, Victoria Parker, et al.. (2016). Somatic mosaicism of the PIK3CA gene identified in a Hungarian girl with macrodactyly and syndactyly. European Journal of Medical Genetics. 59(4). 223–226. 8 indexed citations

16.

Keppler‐Noreuil, Kim M., Jonathan J. Rios, Victoria Parker, et al.. (2014). PIK3CA‐related overgrowth spectrum (PROS): Diagnostic and testing eligibility criteria, differential diagnosis, and evaluation. American Journal of Medical Genetics Part A. 167(2). 287–295. 326 indexed citations breakdown →

17.

Parker, Victoria & Robert K. Semple. (2013). GENETICS IN ENDOCRINOLOGY: Genetic forms of severe insulin resistance: what endocrinologists should know. European Journal of Endocrinology. 169(4). R71–R80. 38 indexed citations

18.

Mayson, Sarah E., Victoria Parker, Mark H. Schutta, Robert K. Semple, & Michael R. Rickels. (2012). Severe Insulin Resistance and Hypertriglyceridemia After Childhood Total Body Irradiation. Endocrine Practice. 19(1). 51–58. 27 indexed citations

19.

Deakin, William J., et al.. (1999). Agrobacterium tumefaciens possesses a fourth flagellin gene located in a large gene cluster concerned with flagellar structure, assembly and motility. Microbiology. 145(6). 1397–1407. 37 indexed citations

20.

Deakin, William J., Caroline S.M. Furniss, Victoria Parker, & Charles H. Shaw. (1997). Isolation and characterisation of a linked cluster of genes from Agrobacterium tumefaciens encoding proteins involved in flagellar basal-body structure. Gene. 189(1). 135–137. 10 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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