Gwen Wark

684 total citations
20 papers, 537 citations indexed

About

Gwen Wark is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Gwen Wark has authored 20 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Gwen Wark's work include Diabetes Management and Research (6 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes and associated disorders (5 papers). Gwen Wark is often cited by papers focused on Diabetes Management and Research (6 papers), Metabolism, Diabetes, and Cancer (6 papers) and Diabetes and associated disorders (5 papers). Gwen Wark collaborates with scholars based in United Kingdom, Iran and Barbados. Gwen Wark's co-authors include J D Teale, Ana Pokrajac, Peter Trainer, G Wieringa, David Halsall, Anthony D. Whetton, Lewis Couchman, V. Marks, Carol Evans and Annie Armston and has published in prestigious journals such as The Journal of Cell Biology, The Journal of Clinical Endocrinology & Metabolism and Oncogene.

In The Last Decade

Gwen Wark

20 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gwen Wark United Kingdom 12 333 166 111 106 47 20 537
Yoshihito Hara Japan 11 345 1.0× 98 0.6× 205 1.8× 75 0.7× 62 1.3× 29 600
Federico Baronio Italy 16 306 0.9× 331 2.0× 85 0.8× 188 1.8× 35 0.7× 55 656
Grzegorz Placha Poland 15 128 0.4× 135 0.8× 90 0.8× 153 1.4× 42 0.9× 33 608
M Goossens France 6 322 1.0× 332 2.0× 63 0.6× 174 1.6× 87 1.9× 9 640
Maria Ginalska-Malinowska Poland 8 196 0.6× 189 1.1× 109 1.0× 85 0.8× 22 0.5× 16 438
Margret Ehlers Germany 13 289 0.9× 80 0.5× 57 0.5× 57 0.5× 68 1.4× 26 497
Susanne Rasmussen Denmark 10 301 0.9× 223 1.3× 35 0.3× 69 0.7× 71 1.5× 16 567
Bo Youn Cho South Korea 11 546 1.6× 225 1.4× 134 1.2× 148 1.4× 104 2.2× 27 736
S K Grebe United States 12 272 0.8× 115 0.7× 191 1.7× 49 0.5× 39 0.8× 17 480
Rita Domingues Portugal 14 352 1.1× 156 0.9× 83 0.7× 114 1.1× 200 4.3× 30 573

Countries citing papers authored by Gwen Wark

Since Specialization
Citations

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

Fields of papers citing papers by Gwen Wark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwen Wark

This figure shows the co-authorship network connecting the top 25 collaborators of Gwen Wark. A scholar is included among the top collaborators of Gwen Wark 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 Gwen Wark. Gwen Wark 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.
Chatzimavridou-Grigoriadou, Victoria, Mark Kelly, Gwen Wark, et al.. (2021). The Role of Glucagon-Like Peptide 1 Receptor PET/CT With Ga-68-NODAGA-exendin in Localising an Insulinoma: Lessons From a Clinical Case. Journal of the Endocrine Society. 5(Supplement_1). A614–A614. 1 indexed citations
2.
Fachim, Helene, Kirk Siddals, Bethany Geary, et al.. (2019). Data Independent Acquisition Mass Spectrometry Can Identify Circulating Proteins That Predict Future Weight Loss with a Diet and Exercise Programme. Journal of Clinical Medicine. 8(2). 141–141. 11 indexed citations
3.
Wark, Gwen, Mario Thevis, Andreas Thomas, et al.. (2016). Factitious administration of analogue insulin to a 2-year-old child. British Journal of Diabetes. 16(2). 82–82. 5 indexed citations
4.
Armston, Annie, et al.. (2015). Commercial insulin immunoassays fail to detect commonly prescribed insulin analogues. Clinical Biochemistry. 48(18). 1354–1357. 55 indexed citations
5.
Jassam, Nuthar, et al.. (2014). Analytical and clinical challenges in a patient with concurrent type 1 diabetes, subcutaneous insulin resistance and insulin autoimmune syndrome. Endocrinology Diabetes and Metabolism Case Reports. 2014. 130086–130086. 24 indexed citations
6.
Kalathil, Suresh, et al.. (2013). Variable characteristics with insulin assays. Practical Diabetes. 30(3). 118–120. 3 indexed citations
7.
Marks, V. & Gwen Wark. (2013). Forensic aspects of insulin. Diabetes Research and Clinical Practice. 101(3). 248–254. 14 indexed citations
8.
Kay, Richard G., David Halsall, Anand K. Annamalai, et al.. (2012). A novel mass spectrometry‐based method for determining insulin‐like growth factor 1: assessment in a cohort of subjects with newly diagnosed acromegaly. Clinical Endocrinology. 78(3). 424–430. 28 indexed citations
9.
Borai, Anwar, Callum Livingstone, Majid Ghayour‐Mobarhan, et al.. (2009). Serum insulin-like growth factor binding protein-1 (IGFBP-1) phosphorylation status in subjects with and without ischaemic heart disease. Atherosclerosis. 208(2). 593–598. 14 indexed citations
10.
Hill, David J., et al.. (2008). IGF-II Secreting Solitary Fibrous Tumour of the liver presenting with hypoglycaemia. Scottish Medical Journal. 53(1). 1–5. 1 indexed citations
11.
Pokrajac, Ana, et al.. (2007). Variation in GH and IGF‐I assays limits the applicability of international consensus criteria to local practice. Clinical Endocrinology. 67(1). 65–70. 130 indexed citations
12.
Halsall, David, et al.. (2007). Hypoglycemia due to an Insulin Binding Antibody in a Patient with an IgA-κ Myeloma. The Journal of Clinical Endocrinology & Metabolism. 92(6). 2013–2016. 39 indexed citations
13.
Heald, Adrian, et al.. (2006). Most commercial insulin assays fail to detect recombinant insulin analogues. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 43(4). 306–308. 41 indexed citations
14.
Teale, J D & Gwen Wark. (2004). The effectiveness of different treatment options for non‐islet cell tumour hypoglycaemia. Clinical Endocrinology. 60(4). 457–460. 74 indexed citations
15.
Monaghan, John, et al.. (2004). Longitudinal changes of insulin-like growth factors and their binding proteins throughout normal pregnancy. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 41(3). 220–226. 26 indexed citations
16.
Ferns, Gordon A., et al.. (2003). Molecular diagnostics in routine practice: quality issues and application to complex disease. Annals of Clinical Biochemistry International Journal of Laboratory Medicine. 40(4). 309–312. 1 indexed citations
17.
Teale, J D, Gwen Wark, & V. Marks. (2002). The biochemical investigation of cases of hypoglycaemia: an assessment of the clinical effectiveness of analytical services. Journal of Clinical Pathology. 55(7). 503–507. 2 indexed citations
18.
19.
Pierce, Andrew, Clare M. Heyworth, Elaine Spooncer, et al.. (1998). An Activated Protein Kinase C α Gives a Differentiation Signal for Hematopoietic Progenitor Cells and Mimicks Macrophage Colony-stimulating Factor–stimulated Signaling Events. The Journal of Cell Biology. 140(6). 1511–1518. 47 indexed citations
20.
Heyworth, Clare M., Mark Pearson, T. M. Dexter, et al.. (1995). Macrophage Inflammatory Protein-1α Mediated Growth Inhibition in a Haemopoietic Stem Cell Line is Associated with Inositol 1,4,5 Trisphosphate Generation. Growth Factors. 12(3). 165–172. 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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