Suzanne Hammersley

495 total citations
8 papers, 341 citations indexed

About

Suzanne Hammersley is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Suzanne Hammersley has authored 8 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 4 papers in Genetics. Recurrent topics in Suzanne Hammersley's work include Diabetes Management and Research (7 papers), Pancreatic function and diabetes (5 papers) and Diabetes and associated disorders (4 papers). Suzanne Hammersley is often cited by papers focused on Diabetes Management and Research (7 papers), Pancreatic function and diabetes (5 papers) and Diabetes and associated disorders (4 papers). Suzanne Hammersley collaborates with scholars based in United Kingdom and United States. Suzanne Hammersley's co-authors include Andrew T. Hattersley, Timothy J. McDonald, Beverley M. Shields, Michelle Hudson, Richard A. Oram, Maggie Shepherd, Ewan R. Pearson, Kevin Colclough, Sian Ellard and Simon Robertson and has published in prestigious journals such as Diabetes Care, Diabetologia and Psychology and Health.

In The Last Decade

Suzanne Hammersley

8 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzanne Hammersley United Kingdom 6 281 278 209 71 18 8 341
Eileen Tichy United States 10 137 0.5× 193 0.7× 263 1.3× 34 0.5× 21 1.2× 13 312
Asa K. Davis United States 2 165 0.6× 161 0.6× 167 0.8× 12 0.2× 9 0.5× 2 197
Jennifer Kyllo United States 9 69 0.2× 66 0.2× 225 1.1× 170 2.4× 10 0.6× 14 282
Alyssa Ylescupidez United States 7 131 0.5× 131 0.5× 126 0.6× 20 0.3× 16 0.9× 10 206
Laura E. Bocchino United States 5 136 0.5× 120 0.4× 150 0.7× 5 0.1× 9 0.5× 10 169
Győző Kocsis Hungary 3 63 0.2× 98 0.4× 163 0.8× 34 0.5× 3 0.2× 8 168
Rebecka Hjort Sweden 7 120 0.4× 82 0.3× 101 0.5× 22 0.3× 8 0.4× 10 163
Matteo Rocco Pastore Italy 7 79 0.3× 54 0.2× 60 0.3× 27 0.4× 7 0.4× 12 142
Mitsukazu Mamada Japan 6 158 0.6× 97 0.3× 61 0.3× 104 1.5× 7 0.4× 11 259
Kerstin Kick Germany 4 184 0.7× 151 0.5× 185 0.9× 5 0.1× 9 0.5× 5 203

Countries citing papers authored by Suzanne Hammersley

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Hammersley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Hammersley

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne Hammersley. A scholar is included among the top collaborators of Suzanne Hammersley 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 Suzanne Hammersley. Suzanne Hammersley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Johnson, Matthew B., Kashyap Patel, Elisa De Franco, et al.. (2020). Type 1 diabetes can present before the age of 6 months and is characterised by autoimmunity and rapid loss of beta cells. Diabetologia. 63(12). 2605–2615. 27 indexed citations
2.
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-KATP-channel pathways. BMJ Open Diabetes Research & Care. 7(1). e000721–e000721. 8 indexed citations
3.
Shepherd, Maggie, Beverley M. Shields, Suzanne Hammersley, et al.. (2016). Systematic Population Screening, Using Biomarkers and Genetic Testing, Identifies 2.5% of the U.K. Pediatric Diabetes Population With Monogenic Diabetes. Diabetes Care. 39(11). 1879–1888. 167 indexed citations
4.
Oram, Richard A., Timothy J. McDonald, Beverley M. Shields, et al.. (2014). Most People With Long-Duration Type 1 Diabetes in a Large Population-Based Study Are Insulin Microsecretors. Diabetes Care. 38(2). 323–328. 85 indexed citations
6.
Besser, Rachel, Beverley M. Shields, Suzanne Hammersley, et al.. (2012). Home urine C-peptide creatinine ratio testing can identify type 2 and MODY in pediatric diabetes. Pediatric Diabetes. 14(3). n/a–n/a. 32 indexed citations
7.
Eiser, J. Richard, Christine Eiser, Afsane Riazi, Suzanne Hammersley, & John E. Tooke. (2002). Interpretations of Risk and Expectations of Change among Individuals with Types 1 and 2 Diabetes. Journal of Health Psychology. 7(6). 701–711. 5 indexed citations
8.
White, Mathew P., Afsane Riazi, Christine Eiser, et al.. (2002). Interpreting the Risks of Diabetic Renal Disease: Perspectives of those Most at Risk. Psychology and Health. 17(1). 33–50. 3 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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