Sefina Arif

3.1k total citations
36 papers, 2.2k citations indexed

About

Sefina Arif is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Sefina Arif has authored 36 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 20 papers in Endocrinology, Diabetes and Metabolism and 19 papers in Immunology. Recurrent topics in Sefina Arif's work include Diabetes and associated disorders (30 papers), Pancreatic function and diabetes (17 papers) and Diabetes Management and Research (17 papers). Sefina Arif is often cited by papers focused on Diabetes and associated disorders (30 papers), Pancreatic function and diabetes (17 papers) and Diabetes Management and Research (17 papers). Sefina Arif collaborates with scholars based in United Kingdom, Netherlands and United States. Sefina Arif's co-authors include Mark Peakman, Timothy Tree, Bart O. Roep, Colin Dayan, Jennifer Tremble, Amanda J. Bishop, Ania Skowera, Jan W. Drijfhout, Iria Gómez-Touriño and Rubén Varela‐Calviño and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and Nano Letters.

In The Last Decade

Sefina Arif

36 papers receiving 2.1k citations

Peers

Sefina Arif
Gaby Duinkerken Netherlands
Cuong Q. Nguyen United States
Hyo Jin Park South Korea
Lianne van de Laar Netherlands
Diane Z. Alexander United States
Racquel Corpuz United States
Renate Gay United States
Gaby Duinkerken Netherlands
Sefina Arif
Citations per year, relative to Sefina Arif Sefina Arif (= 1×) peers Gaby Duinkerken

Countries citing papers authored by Sefina Arif

Since Specialization
Citations

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

Fields of papers citing papers by Sefina Arif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sefina Arif

This figure shows the co-authorship network connecting the top 25 collaborators of Sefina Arif. A scholar is included among the top collaborators of Sefina Arif 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 Sefina Arif. Sefina Arif 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.
Arif, Sefina, et al.. (2023). Monitoring islet specific immune responses in type 1 diabetes clinical immunotherapy trials. Frontiers in Immunology. 14. 1183909–1183909. 4 indexed citations
2.
Artzy‐Schnirman, Arbel, Enas Abu‐Shah, Rona Chandrawati, et al.. (2022). Artificial Antigen Presenting Cells for Detection and Desensitization of Autoreactive T cells Associated with Type 1 Diabetes. Nano Letters. 22(11). 4376–4382. 2 indexed citations
3.
Arif, Sefina, Irma Pujol‐Autonell, Yogesh Kamra, et al.. (2021). Mapping T Cell Responses to Native and Neo-Islet Antigen Epitopes in at Risk and Type 1 Diabetes Subjects. Frontiers in Immunology. 12. 675746–675746. 13 indexed citations
4.
Arif, Sefina, Iria Gómez-Touriño, Yogesh Kamra, et al.. (2020). GAD-alum immunotherapy in type 1 diabetes expands bifunctional Th1/Th2 autoreactive CD4 T cells. Diabetologia. 63(6). 1186–1198. 22 indexed citations
5.
Verhagen, Johan, et al.. (2019). Proinsulin peptide promotes autoimmune diabetes in a novel HLA-DR3-DQ2-transgenic murine model of spontaneous disease. Diabetologia. 62(12). 2252–2261. 7 indexed citations
6.
Gómez-Touriño, Iria, Sefina Arif, Martin Eichmann, & Mark Peakman. (2015). T cells in type 1 diabetes: Instructors, regulators and effectors: A comprehensive review. Journal of Autoimmunity. 66. 7–16. 50 indexed citations
7.
Thompson, Whitney S., Marcin Ł. Pękalski, Deborah J. Smyth, et al.. (2014). Multi-parametric flow cytometric and genetic investigation of the peripheral B cell compartment in human type 1 diabetes. Clinical & Experimental Immunology. 177(3). 571–585. 44 indexed citations
8.
Arif, Sefina, Fabrice Moore, Katherine Marks, et al.. (2011). Peripheral and Islet Interleukin-17 Pathway Activation Characterizes Human Autoimmune Diabetes and Promotes Cytokine-Mediated β-Cell Death. Diabetes. 60(8). 2112–2119. 173 indexed citations
9.
Tree, Timothy, Jennifer Lawson, Hannah B Edwards, et al.. (2010). Naturally Arising Human CD4 T-Cells That Recognize Islet Autoantigens and Secrete Interleukin-10 Regulate Proinflammatory T-Cell Responses via Linked Suppression. Diabetes. 59(6). 1451–1460. 84 indexed citations
10.
Arif, Sefina, Behdad Afzali, Giovanna Lombardi, et al.. (2010). Anti-TNFα therapy—killing two birds with one stone?. The Lancet. 375(9733). 2278–2278. 9 indexed citations
11.
Herold, Kevan C., Barbara Brooks‐Worrell, Jerry P. Palmer, et al.. (2009). Validity and Reproducibility of Measurement of Islet Autoreactivity by T-Cell Assays in Subjects With Early Type 1 Diabetes. Diabetes. 58(11). 2588–2595. 72 indexed citations
12.
Skowera, Ania, Richard J. Ellis, Rubén Varela‐Calviño, et al.. (2009). CTLs are targeted to kill β cells in patients with type 1 diabetes through recognition of a glucose-regulated preproinsulin epitope. Journal of Clinical Investigation. 119(9). 2844–2844. 3 indexed citations
13.
Skowera, Ania, Richard J. Ellis, Rubén Varela‐Calviño, et al.. (2008). CTLs are targeted to kill β cells in patients with type 1 diabetes through recognition of a glucose-regulated preproinsulin epitope. Journal of Clinical Investigation. 118(10). 3390–402. 298 indexed citations
14.
Arif, Sefina, Timothy Tree, Jennifer Tremble, et al.. (2004). Autoreactive T cell responses show proinflammatory polarization in diabetes but a regulatory phenotype in health. Journal of Clinical Investigation. 113(3). 451–463. 401 indexed citations
15.
Ellis, Richard J., et al.. (2003). Promiscuous binding of proinsulin peptides to Type 1 diabetes-permissive and -protective HLA class II molecules. Diabetologia. 46(4). 496–503. 20 indexed citations
16.
Arif, Sefina, Rubén Varela‐Calviño, Gerard S. Conway, & Mark Peakman. (2001). 3β Hydroxysteroid Dehydrogenase Autoantibodies in Patients with Idiopathic Premature Ovarian Failure Target N- and C-Terminal Epitopes. The Journal of Clinical Endocrinology & Metabolism. 86(12). 5892–5897. 3 indexed citations
17.
Varela‐Calviño, Rubén, et al.. (2000). T-Cell Reactivity to the P2C Nonstructural Protein of a Diabetogenic Strain of Coxsackievirus B4. Virology. 274(1). 56–64. 26 indexed citations
18.
Arif, Sefina, James A. Underhill, Peter T. Donaldson, Gerard S. Conway, & Mark Peakman. (1999). Human Leukocyte Antigen-DQB1*Genotypes Encoding Aspartate at Position 57 Are Associated with 3β-Hydroxysteroid Dehydrogenase Autoimmunity in Premature Ovarian Failure. The Journal of Clinical Endocrinology & Metabolism. 84(3). 1056–1060. 12 indexed citations
19.
Ejskjær, Niels, Sefina Arif, W. J. Dodds, et al.. (1999). Prevalence of autoantibodies to autonomic nervous tissue structures in Type 1 diabetes mellitus. Diabetic Medicine. 16(7). 544–549. 20 indexed citations
20.
Raziuddin, Syed, et al.. (1988). Peripheral T Cell Lymphomas: An Immunological Study of Seven Unusual Cases. Scandinavian Journal of Immunology. 27(5). 495–501. 1 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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