Natalie Amirian

1.5k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Natalie Amirian is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Natalie Amirian has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 14 papers in Genetics and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Natalie Amirian's work include Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (14 papers) and Diabetes Management and Research (9 papers). Natalie Amirian is often cited by papers focused on Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (14 papers) and Diabetes Management and Research (9 papers). Natalie Amirian collaborates with scholars based in United States, Australia and Netherlands. Natalie Amirian's co-authors include Ken Coppieters, Teresa Rodríguez-Calvo, Matthias G. von Herrath, Matthias G. von Herrath, Thomas W. H. Kay, Francesco Dotta, Bart O. Roep, Mark A. Atkinson, Jose Zapardiel‐Gonzalo and Olov Ekwall and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Natalie Amirian

14 papers receiving 1.1k citations

Hit Papers

Demonstration of islet-autoreactive CD8 T cells in insuli... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Natalie Amirian United States 12 909 784 584 313 120 14 1.1k
Akira Kasuga Japan 20 900 1.0× 600 0.8× 595 1.0× 299 1.0× 183 1.5× 44 1.3k
Matthias G. von Herrath United States 9 676 0.7× 489 0.6× 365 0.6× 359 1.1× 78 0.7× 13 908
Oskar Skog Sweden 18 741 0.8× 621 0.8× 465 0.8× 237 0.8× 140 1.2× 34 1.1k
Jeffrey D. Ansite United States 12 703 0.8× 1.2k 1.5× 516 0.9× 84 0.3× 195 1.6× 19 1.3k
F. Vargas Spain 11 341 0.4× 281 0.4× 186 0.3× 232 0.7× 101 0.8× 17 574
Alexis Styche United States 13 322 0.4× 212 0.3× 148 0.3× 284 0.9× 183 1.5× 19 693
Jasmin Lebastchi United States 10 353 0.4× 382 0.5× 256 0.4× 61 0.2× 240 2.0× 13 630
S Shintani Japan 8 376 0.4× 226 0.3× 176 0.3× 232 0.7× 50 0.4× 11 504
Jose Paredes United States 12 285 0.3× 430 0.5× 175 0.3× 32 0.1× 265 2.2× 16 760
Christian Pfleger Germany 10 214 0.2× 139 0.2× 156 0.3× 129 0.4× 59 0.5× 12 376

Countries citing papers authored by Natalie Amirian

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Amirian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie Amirian

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

All Works

14 of 14 papers shown
1.
Rodríguez-Calvo, Teresa, et al.. (2021). One in Ten CD8+ Cells in the Pancreas of Living Individuals With Recent-Onset Type 1 Diabetes Recognizes the Preproinsulin Epitope PPI15-24. Diabetes. 70(3). 752–758. 20 indexed citations
2.
Rodríguez-Calvo, Teresa, et al.. (2020). The healthy exocrine pancreas contains preproinsulin-specific CD8 T cells that attack islets in type 1 diabetes. Science Advances. 6(42). 64 indexed citations
3.
Rodríguez-Calvo, Teresa, et al.. (2017). Increase in Pancreatic Proinsulin and Preservation of β-Cell Mass in Autoantibody-Positive Donors Prior to Type 1 Diabetes Onset. Diabetes. 66(5). 1334–1345. 91 indexed citations
4.
Anquetil, Florence, Charles Thivolet, Teresa Rodríguez-Calvo, et al.. (2017). Alpha cells, the main source of IL-1β in human pancreas. Journal of Autoimmunity. 81. 68–73. 27 indexed citations
5.
Rodríguez-Calvo, Teresa, et al.. (2015). Heterogeneity and Lobularity of Pancreatic Pathology in Type 1 Diabetes during the Prediabetic Phase. Journal of Histochemistry & Cytochemistry. 63(8). 626–636. 63 indexed citations
6.
Belle, Tom L. Van, Philippe P. Pagni, Sowbarnika Sachithanantham, et al.. (2014). Beta-cell specific production of IL6 in conjunction with a mainly intracellular but not mainly surface viral protein causes diabetes. Journal of Autoimmunity. 55. 24–32. 11 indexed citations
7.
Pagni, Philippe P., Damien Bresson, Teresa Rodríguez-Calvo, et al.. (2014). Combination Therapy With an Anti–IL-1β Antibody and GAD65 DNA Vaccine Can Reverse Recent-Onset Diabetes in the RIP-GP Mouse Model. Diabetes. 63(6). 2015–2025. 18 indexed citations
8.
Rodríguez-Calvo, Teresa, Olov Ekwall, Natalie Amirian, Jose Zapardiel‐Gonzalo, & Matthias G. von Herrath. (2014). Increased Immune Cell Infiltration of the Exocrine Pancreas: A Possible Contribution to the Pathogenesis of Type 1 Diabetes. Diabetes. 63(11). 3880–3890. 179 indexed citations
9.
Coppieters, Ken, Natalie Amirian, Philippe P. Pagni, et al.. (2013). Functional Redundancy of CXCR3/CXCL10 Signaling in the Recruitment of Diabetogenic Cytotoxic T Lymphocytes to Pancreatic Islets in a Virally Induced Autoimmune Diabetes Model. Diabetes. 62(7). 2492–2499. 23 indexed citations
10.
Coppieters, Ken, Francesco Dotta, Natalie Amirian, et al.. (2012). Demonstration of islet-autoreactive CD8 T cells in insulitic lesions from recent onset and long-term type 1 diabetes patients. The Journal of Experimental Medicine. 209(1). 51–60. 509 indexed citations breakdown →
11.
Coppieters, Ken, Natalie Amirian, & Matthias von Herrath. (2011). Intravital imaging of CTLs killing islet cells in diabetic mice. Journal of Clinical Investigation. 122(1). 119–131. 66 indexed citations
12.
Coppieters, Ken, Anna Wiberg, Natalie Amirian, Thomas W. H. Kay, & Matthias G. von Herrath. (2011). Persistent glucose transporter expression on pancreatic beta cells from longstanding type 1 diabetic individuals. Diabetes/Metabolism Research and Reviews. 27(8). 746–754. 29 indexed citations
13.
Coppieters, Ken, Natalie Amirian, & Matthias G. von Herrath. (2011). Incidental CD8 T cell reactivity against caspase-cleaved apoptotic self-antigens from ubiquitously expressed proteins in islets from prediabetic human leucocyte antigen-A2 transgenic non-obese diabetic mice. Clinical & Experimental Immunology. 165(2). 155–162. 7 indexed citations
14.
Coppieters, Ken, Marianne M. Martinic, William B. Kiosses, Natalie Amirian, & Matthias von Herrath. (2010). A Novel Technique for the In Vivo Imaging of Autoimmune Diabetes Development in the Pancreas by Two-Photon Microscopy. PLoS ONE. 5(12). e15732–e15732. 41 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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