Amanda L. Posgai

3.5k total citations
60 papers, 1.3k citations indexed

About

Amanda L. Posgai is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Amanda L. Posgai has authored 60 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Genetics, 37 papers in Surgery and 30 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Amanda L. Posgai's work include Diabetes and associated disorders (47 papers), Pancreatic function and diabetes (37 papers) and Diabetes Management and Research (29 papers). Amanda L. Posgai is often cited by papers focused on Diabetes and associated disorders (47 papers), Pancreatic function and diabetes (37 papers) and Diabetes Management and Research (29 papers). Amanda L. Posgai collaborates with scholars based in United States, United Kingdom and China. Amanda L. Posgai's co-authors include Mark A. Atkinson, Todd M. Brusko, Michael J. Haller, Clive Wasserfall, Desmond Schatz, Howard R. Seay, Clayton E. Mathews, Daniel J. Perry, Leeana D. Peters and Martha Campbell‐Thompson and has published in prestigious journals such as Nature Communications, The Journal of Immunology and PLoS ONE.

In The Last Decade

Amanda L. Posgai

58 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda L. Posgai United States 21 792 645 506 474 171 60 1.3k
Hisafumi Yasuda Japan 17 374 0.5× 313 0.5× 203 0.4× 243 0.5× 188 1.1× 49 764
Štěpánka Průhová Czechia 21 918 1.2× 984 1.5× 652 1.3× 74 0.2× 483 2.8× 66 1.4k
John Marker United States 6 597 0.8× 241 0.4× 192 0.4× 858 1.8× 53 0.3× 7 1.2k
Fleur S. Kleijwegt Netherlands 9 265 0.3× 163 0.3× 126 0.2× 539 1.1× 84 0.5× 10 836
William Bennet Sweden 19 534 0.7× 1.3k 2.0× 314 0.6× 70 0.1× 206 1.2× 61 1.6k
Sunanda Babu United States 26 1.5k 1.9× 1.0k 1.6× 969 1.9× 513 1.1× 146 0.9× 51 1.9k
Susie I. Ymer Australia 14 276 0.3× 218 0.3× 712 1.4× 193 0.4× 344 2.0× 25 1.1k
Pál Pánczél Hungary 12 367 0.5× 295 0.5× 307 0.6× 92 0.2× 116 0.7× 26 580
José Luis Santiago Spain 17 214 0.3× 187 0.3× 73 0.1× 236 0.5× 148 0.9× 40 717
Ryuichi Kuromaru Japan 16 259 0.3× 108 0.2× 234 0.5× 244 0.5× 138 0.8× 31 803

Countries citing papers authored by Amanda L. Posgai

Since Specialization
Citations

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

Fields of papers citing papers by Amanda L. Posgai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda L. Posgai. 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 Amanda L. Posgai. The network helps show where Amanda L. Posgai may publish in the future.

Co-authorship network of co-authors of Amanda L. Posgai

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda L. Posgai. A scholar is included among the top collaborators of Amanda L. Posgai 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 Amanda L. Posgai. Amanda L. Posgai 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
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David, S., Justin A. Smith, Amanda L. Posgai, et al.. (2025). Loss of Insulin-Positive Cell Clusters Precedes the Decrease in Islet Frequency and β-Cell Area in Type 1 Diabetes. Diabetes. 74(11). 2008–2015. 1 indexed citations
3.
Peters, Leeana D., Amanda L. Posgai, Maigan A. Brusko, et al.. (2024). Inhibition of CD226 co-stimulation suppresses diabetes development in the NOD mouse by augmenting regulatory T cells and diminishing effector T cell function. Diabetologia. 68(2). 397–418. 4 indexed citations
4.
Posgai, Amanda L., et al.. (2024). Leveraging artificial intelligence and machine learning to accelerate discovery of disease-modifying therapies in type 1 diabetes. Diabetologia. 68(3). 477–494. 3 indexed citations
5.
6.
Yeh, Wen-I, et al.. (2023). Treg-Specific CD226 Deletion Reduces Diabetes Incidence in NOD Mice by Improving Regulatory T-Cell Stability. Diabetes. 72(11). 1629–1640. 15 indexed citations
7.
Dong, Xiaoru, Daniel J. Perry, Amanda L. Posgai, et al.. (2023). Human immune phenotyping reveals accelerated aging in type 1 diabetes. JCI Insight. 8(17). 21 indexed citations
8.
Peters, Leeana D., et al.. (2023). Insulin-like Growth Factor-1 Synergizes with IL-2 to Induce Homeostatic Proliferation of Regulatory T Cells. The Journal of Immunology. 211(7). 1108–1122. 8 indexed citations
9.
Guevara‐Aguirre, Jaime, Arlan L. Rosenbloom, Alexandra Guevara, et al.. (2022). Divergent metabolic phenotypes in two genetic syndromes of low insulin secretion. Diabetes Research and Clinical Practice. 196. 110228–110228. 1 indexed citations
10.
Hiller, Helmut, Changjun Yang, Irina Kusmartseva, et al.. (2021). Altered cellular localisation and expression, together with unconventional protein trafficking, of prion protein, PrPC, in type 1 diabetes. Diabetologia. 64(10). 2279–2291. 6 indexed citations
11.
Dunne, Jessica L., et al.. (2021). The Women’s Leadership Gap in Diabetes: A Call for Equity and Excellence. Diabetes. 70(8). 1623–1633. 6 indexed citations
12.
Hiller, Helmut, Joseph J. Lebowitz, Stefanie Engler, et al.. (2021). Monogenic Diabetes and Integrated Stress Response Genes Display Altered Gene Expression in Type 1 Diabetes. Diabetes. 70(8). 1885–1897. 7 indexed citations
13.
Posgai, Amanda L., et al.. (2021). The Immunoregulatory Role of the Signal Regulatory Protein Family and CD47 Signaling Pathway in Type 1 Diabetes. Frontiers in Immunology. 12. 739048–739048. 11 indexed citations
14.
Dunne, Jessica L., et al.. (2021). The Women’s Leadership Gap in Diabetes: A Call for Equity and Excellence. Diabetes Care. 44(8). 1734–1743. 6 indexed citations
15.
Brusko, Maigan A., Joshua M. Stewart, Amanda L. Posgai, et al.. (2020). Immunomodulatory Dual-Sized Microparticle System Conditions Human Antigen Presenting Cells Into a Tolerogenic Phenotype In Vitro and Inhibits Type 1 Diabetes-Specific Autoreactive T Cell Responses. Frontiers in Immunology. 11. 574447–574447. 20 indexed citations
16.
Marshall, Gregory P., Daniel J. Perry, Wen-I Yeh, et al.. (2018). Clinical Applications of Regulatory T cells in Adoptive Cell Therapies. Cell and Gene Therapy Insights. 4(1). 405–429. 11 indexed citations
17.
Wasserfall, Clive, Harry S. Nick, Martha Campbell‐Thompson, et al.. (2017). Persistence of Pancreatic Insulin mRNA Expression and Proinsulin Protein in Type 1 Diabetes Pancreata. Cell Metabolism. 26(3). 568–575.e3. 73 indexed citations
18.
Jacobsen, Laura M., Amanda L. Posgai, Howard R. Seay, Michael J. Haller, & Todd M. Brusko. (2017). T Cell Receptor Profiling in Type 1 Diabetes. Current Diabetes Reports. 17(11). 118–118. 30 indexed citations
19.
Buschard, Karsten, Andrew T. Magis, Thomas Østerbye, et al.. (2016). Sulfatide Preserves Insulin Crystals Not by Being Integrated in the Lattice but by Stabilizing Their Surface. Journal of Diabetes Research. 2016. 1–4. 9 indexed citations
20.
Gagliani, Nicola, Tatiana Jofra, Amanda L. Posgai, Mark A. Atkinson, & Manuela Battaglia. (2015). Immune Depletion in Combination with Allogeneic Islets Permanently Restores Tolerance to Self-Antigens in Diabetic NOD Mice. PLoS ONE. 10(11). e0142318–e0142318. 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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