Helen Stevens

6.4k total citations · 2 hit papers
15 papers, 2.9k citations indexed

About

Helen Stevens is a scholar working on Genetics, Surgery and Immunology. According to data from OpenAlex, Helen Stevens has authored 15 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 8 papers in Surgery and 5 papers in Immunology. Recurrent topics in Helen Stevens's work include Diabetes and associated disorders (14 papers), Pancreatic function and diabetes (8 papers) and T-cell and B-cell Immunology (4 papers). Helen Stevens is often cited by papers focused on Diabetes and associated disorders (14 papers), Pancreatic function and diabetes (8 papers) and T-cell and B-cell Immunology (4 papers). Helen Stevens collaborates with scholars based in United Kingdom, United States and Australia. Helen Stevens's co-authors include John A. Todd, Deborah J. Smyth, Neil Walker, Jason D. Cooper, Vincent Plagnol, Joanna M. M. Howson, David Clayton, Patrick Concannon, Concepcion R. Nierras and Stephen S. Rich and has published in prestigious journals such as New England Journal of Medicine, Nature Genetics and PLoS ONE.

In The Last Decade

Helen Stevens

15 papers receiving 2.8k 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.

Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes

2009 1.3k citations Jeffrey C. Barrett, David Clayton et al. Nature Genetics profile →
Shared and Distinct Genetic Variants in Type 1 Diabetes and Celiac Disease

2008 538 citations Deborah J. Smyth, Vincent Plagnol et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Helen Stevens United Kingdom	14	1.9k	1.0k	810	781	621	15	2.9k
Jason D. Cooper United Kingdom	11	1.6k 0.9×	630 0.6×	932 1.2×	503 0.6×	543 0.9×	13	2.6k
Jennie H. M. Yang United Kingdom	15	838 0.4×	439 0.4×	603 0.7×	296 0.4×	357 0.6×	20	1.6k
Norio Abiru Japan	32	2.5k 1.3×	1.8k 1.7×	1.3k 1.6×	1.8k 2.3×	446 0.7×	131	3.8k
José Timsit France	35	1.8k 0.9×	1.8k 1.7×	481 0.6×	1.4k 1.8×	1.2k 1.9×	136	4.1k
G. F. Bottazzo United Kingdom	36	2.5k 1.3×	1.6k 1.6×	1.1k 1.4×	2.5k 3.2×	431 0.7×	101	4.3k
Hironori Yamasaki Japan	31	872 0.5×	773 0.7×	408 0.5×	1.0k 1.3×	615 1.0×	128	2.7k
Artur Bossowski Poland	23	719 0.4×	429 0.4×	665 0.8×	952 1.2×	298 0.5×	168	2.2k
Dongmei Miao United States	29	2.6k 1.4×	1.9k 1.9×	938 1.2×	1.7k 2.2×	200 0.3×	75	3.3k
S. De Virgiliis Italy	27	600 0.3×	568 0.5×	365 0.5×	289 0.4×	182 0.3×	88	2.1k
A G Cudworth United Kingdom	31	2.1k 1.1×	1.4k 1.4×	614 0.8×	1.6k 2.0×	267 0.4×	69	3.1k

Countries citing papers authored by Helen Stevens

Since Specialization

Citations

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

Fields of papers citing papers by Helen Stevens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Stevens

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

All Works

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15 of 15 papers shown

Howson, Joanna M. M., Monique Roy, Lauren R Zeitels, Helen Stevens, & John A. Todd. (2013). HLA class II gene associations in African American Type 1 diabetes reveal a protective HLA‐DRB1*03 haplotype. Diabetic Medicine. 30(6). 710–716. 19 indexed citations

Cooper, Jason D., Joanna M. M. Howson, Neil Walker, et al.. (2012). Confirmation of novel type 1 diabetes risk loci in families. Diabetologia. 55(4). 996–1000. 43 indexed citations

Howson, Joanna M. M., Stefan W. Krause, Helen Stevens, et al.. (2012). Genetic association of zinc transporter 8 (ZnT8) autoantibodies in type 1 diabetes cases. Diabetologia. 55(7). 1978–1984. 36 indexed citations

Howson, Joanna M. M., Jason D. Cooper, Deborah J. Smyth, et al.. (2012). Evidence of Gene-Gene Interaction and Age-at-Diagnosis Effects in Type 1 Diabetes. Diabetes. 61(11). 3012–3017. 53 indexed citations

Plagnol, Vincent, Joanna M. M. Howson, Deborah J. Smyth, et al.. (2011). Genome-Wide Association Analysis of Autoantibody Positivity in Type 1 Diabetes Cases. PLoS Genetics. 7(8). e1002216–e1002216. 186 indexed citations

Cooper, Jason D., Deborah J. Smyth, Neil Walker, et al.. (2011). Inherited Variation in Vitamin D Genes Is Associated With Predisposition to Autoimmune Disease Type 1 Diabetes. Diabetes. 60(5). 1624–1631. 214 indexed citations

Howson, Joanna M. M., Helen Stevens, Deborah J. Smyth, et al.. (2011). Evidence That HLA Class I and II Associations With Type 1 Diabetes, Autoantibodies to GAD and Autoantibodies to IA-2, Are Distinct. Diabetes. 60(10). 2635–2644. 57 indexed citations

Smyth, Deborah J., Jason D. Cooper, Joanna M. M. Howson, et al.. (2011). FUT2 Nonsecretor Status Links Type 1 Diabetes Susceptibility and Resistance to Infection. Diabetes. 60(11). 3081–3084. 95 indexed citations

Barrett, Jeffrey C., David Clayton, Patrick Concannon, et al.. (2009). Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes. Nature Genetics. 41(6). 703–707. 1253 indexed citations breakdown →

10.

Fung, Erik, Deborah J. Smyth, Joanna M. M. Howson, et al.. (2008). Analysis of 17 autoimmune disease-associated variants in type 1 diabetes identifies 6q23/TNFAIP3 as a susceptibility locus. Genes and Immunity. 10(2). 188–191. 202 indexed citations

11.

Plagnol, Vincent, Elif Uz, Chris Wallace, et al.. (2008). Extreme Clonality in Lymphoblastoid Cell Lines with Implications for Allele Specific Expression Analyses. PLoS ONE. 3(8). e2966–e2966. 45 indexed citations

12.

Smyth, Deborah J., Vincent Plagnol, Neil Walker, et al.. (2008). Shared and Distinct Genetic Variants in Type 1 Diabetes and Celiac Disease. New England Journal of Medicine. 359(26). 2767–2777. 538 indexed citations breakdown →

13.

Smyth, Deborah J., Jason D. Cooper, Joanna M. M. Howson, et al.. (2008). PTPN22 Trp620 Explains the Association of Chromosome 1p13 With Type 1 Diabetes and Shows a Statistical Interaction With HLA Class II Genotypes. Diabetes. 57(6). 1730–1737. 72 indexed citations

14.

Howson, Joanna M. M., David B. Dunger, Sarah Nutland, et al.. (2007). A type 1 diabetes subgroup with a female bias is characterised by failure in tolerance to thyroid peroxidase at an early age and a strong association with the cytotoxic T-lymphocyte-associated antigen-4 gene. Diabetologia. 50(4). 741–746. 57 indexed citations

15.

Payne, Felicity, Sarah Nutland, Helen Stevens, et al.. (2002). A Comprehensive, Statistically Powered Analysis of GAD2 in Type 1 Diabetes. Diabetes. 51(9). 2866–2870. 11 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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