Ann Millward

3.1k total citations
35 papers, 1.8k citations indexed

About

Ann Millward is a scholar working on Genetics, Molecular Biology and Obstetrics and Gynecology. According to data from OpenAlex, Ann Millward has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Molecular Biology and 8 papers in Obstetrics and Gynecology. Recurrent topics in Ann Millward's work include Diabetes and associated disorders (8 papers), Aldose Reductase and Taurine (6 papers) and Gestational Diabetes Research and Management (6 papers). Ann Millward is often cited by papers focused on Diabetes and associated disorders (8 papers), Aldose Reductase and Taurine (6 papers) and Gestational Diabetes Research and Management (6 papers). Ann Millward collaborates with scholars based in United Kingdom, United States and Italy. Ann Millward's co-authors include Andrew G. Demaine, Linda Shaw, Anthony J. Smith, E Harrington, Andrew Demaine, J.W. Rippin, Martin L. Hibberd, Elizabeth Stenhouse, Alison M. Smith and John Campbell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Ann Millward

35 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ann Millward 435 360 352 336 252 35 1.8k
John Scott 70 0.2× 813 2.3× 357 1.0× 25 0.1× 108 0.4× 85 2.1k
Philippe Bouchard 198 0.5× 262 0.7× 235 0.7× 25 0.1× 18 0.1× 42 1.6k
Efstratios M. Κolibianakis 268 0.6× 154 0.4× 496 1.4× 30 0.1× 11 0.0× 204 8.7k
Katherine M. Howard 70 0.2× 197 0.5× 572 1.6× 12 0.0× 83 0.3× 59 1.3k
L. Lyndon Key 198 0.5× 189 0.5× 736 2.1× 9 0.0× 56 0.2× 51 1.7k
Eytan R. Barnea 232 0.5× 136 0.4× 467 1.3× 51 0.2× 24 0.1× 167 2.8k
J.C. Moreno 372 0.9× 313 0.9× 772 2.2× 6 0.0× 123 0.5× 92 2.8k
Ito M 203 0.5× 401 1.1× 307 0.9× 27 0.1× 31 0.1× 177 2.2k
Sidney Q. Cohlan 162 0.4× 90 0.3× 335 1.0× 19 0.1× 45 0.2× 27 1.1k
Ira M. Rosenthal 699 1.6× 327 0.9× 885 2.5× 4 0.0× 65 0.3× 94 2.2k

Countries citing papers authored by Ann Millward

Since Specialization
Citations

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

Fields of papers citing papers by Ann Millward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann Millward

This figure shows the co-authorship network connecting the top 25 collaborators of Ann Millward. A scholar is included among the top collaborators of Ann Millward 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 Ann Millward. Ann Millward 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.
Maghsoodi, Negar, Nick Shaw, Gemma F. Cross, et al.. (2018). Bile acid metabolism is altered in those with insulin resistance after gestational diabetes mellitus. Clinical Biochemistry. 64. 12–17. 21 indexed citations
3.
Shaw, Nick, Bingmei Yang, Ann Millward, Andrew G. Demaine, & Andrea Hodgkinson. (2013). AKR1B10 is induced by hyperglycaemia and lipopolysaccharide in patients with diabetic nephropathy. Cell Stress and Chaperones. 19(2). 281–287. 23 indexed citations
4.
Tomlinson, Julie, Gayle Letherby, Jonathan Pinkney, Ann Millward, & Elizabeth Stenhouse. (2013). Raising awareness of polycystic ovary syndrome. Nursing Standard. 27(40). 35–39. 14 indexed citations
5.
Tomlinson, Julie, Ann Millward, Elizabeth Stenhouse, & Jonathan Pinkney. (2010). Type 2 diabetes and cardiovascular disease in polycystic ovary syndrome: what are the risks and can they be reduced?. Diabetic Medicine. 27(5). 498–515. 48 indexed citations
6.
Balaresque, Patricia, Georgina R. Bowden, Susan M. Adams, et al.. (2010). A Predominantly Neolithic Origin for European Paternal Lineages. PLoS Biology. 8(1). e1000285–e1000285. 155 indexed citations
8.
Janghorbani, Mohsen, Elizabeth Stenhouse, Raymond B. Jones, & Ann Millward. (2006). Gestational diabetes mellitus in Plymouth, U.K.: prevalence, seasonal variation and associated factors.. PubMed. 51(2). 128–34. 30 indexed citations
9.
Janghorbani, Mohsen, Elizabeth Stenhouse, Ann Millward, & Raymond B. Jones. (2006). Neighborhood deprivation and preterm birth in Plymouth, UK. The Journal of Maternal-Fetal & Neonatal Medicine. 19(2). 85–91. 21 indexed citations
10.
Stenhouse, Elizabeth, D. Wright, Andrew T. Hattersley, & Ann Millward. (2004). The accuracy of birth weight. Journal of Clinical Nursing. 13(6). 767–768. 4 indexed citations
11.
Millward, Ann, et al.. (2004). Polymorphisms of chemokine and chemokine receptor genes in Type 1 diabetes mellitus and its complications. Cytokine. 26(3). 114–121. 50 indexed citations
13.
Stenhouse, Elizabeth, D. Wright, Andrew T. Hattersley, & Ann Millward. (2003). How well do midwives estimate the date of delivery?. Midwifery. 19(2). 125–131. 3 indexed citations
14.
Haddad, Lema, Julie Evans, Neda Gharani, et al.. (2002). Variation within the Type 2 Diabetes Susceptibility Gene Calpain-10 and Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 87(6). 2606–2610. 60 indexed citations
15.
Jahromi, Mohammad Ali Farboodniay, Ann Millward, & Andrew G. Demaine. (2000). A CA Repeat Polymorphism of the IFN- gamma Gene Is Associated with Susceptibility to Type 1 Diabetes. Journal of Interferon & Cytokine Research. 20(2). 187–190. 48 indexed citations
16.
Macfarlane, Wendy M., Timothy M. Frayling, Sian Ellard, et al.. (1999). Missense mutations in the insulin promoter factor-1 gene predispose to type 2 diabetes. Journal of Clinical Investigation. 104(9). R33–R39. 201 indexed citations
17.
Millward, Ann, Linda Shaw, E Harrington, & Anthony J. Smith. (1997). Continuous Monitoring of Salivary Flow Rate and pH at the Surface of the Dentition following Consumption of Acidic Beverages. Caries Research. 31(1). 44–49. 124 indexed citations
18.
Millward, Ann, Linda Shaw, Anthony J. Smith, J.W. Rippin, & E Harrington. (1994). The distribution and severity of tooth wear and the relationship between erosion and dietary constituents in a group of children. International Journal of Paediatric Dentistry. 4(3). 151–157. 161 indexed citations
19.
Wong, F. Susan, Wen Li, Martin L. Hibberd, Ann Millward, & Andrew Demaine. (1994). Analysis of the Peripheral T-Cell Receptor VP Repertoire in Newly Diagnosed Patients with Type I Diabetes. Autoimmunity. 18(1). 77–83. 5 indexed citations
20.
Caplen, Natasha J., Ashok Patel, Ann Millward, et al.. (1990). Complement C4 and heat shock protein 70 (HSP70) genotypes and type I diabetes mellitus. Immunogenetics. 32(6). 427–30. 47 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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