Nancy Sue

904 total citations
9 papers, 736 citations indexed

About

Nancy Sue is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Nancy Sue has authored 9 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Surgery. Recurrent topics in Nancy Sue's work include Endoplasmic Reticulum Stress and Disease (4 papers), Pancreatic function and diabetes (4 papers) and Cellular transport and secretion (2 papers). Nancy Sue is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Pancreatic function and diabetes (4 papers) and Cellular transport and secretion (2 papers). Nancy Sue collaborates with scholars based in Australia, United Kingdom and United States. Nancy Sue's co-authors include Trevor J. Biden, Ebru Boslem, Kwan Yi Chu, Alister P. W. Funnell, Merlin Crossley, Sally A. Eaton, Richard C. M. Pearson, Karen J. Smillie, Michael A. Cousin and Phillip J. Robinson and has published in prestigious journals such as Journal of Biological Chemistry, Nature Neuroscience and Molecular and Cellular Biology.

In The Last Decade

Nancy Sue

9 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nancy Sue Australia 7 485 219 177 145 115 9 736
Isabelle Guillet-Deniau France 11 552 1.1× 113 0.5× 153 0.9× 94 0.6× 248 2.2× 13 834
Neelanjan Vishnu Sweden 15 487 1.0× 89 0.4× 205 1.2× 64 0.4× 158 1.4× 17 747
David C. Bedford United States 10 464 1.0× 57 0.3× 142 0.8× 102 0.7× 107 0.9× 12 774
Gökhan Dalgin United States 8 481 1.0× 79 0.4× 134 0.8× 110 0.8× 284 2.5× 12 816
Edwin Kwan Canada 15 526 1.1× 351 1.6× 534 3.0× 134 0.9× 129 1.1× 17 1.0k
P.G. Suh South Korea 15 495 1.0× 151 0.7× 49 0.3× 57 0.4× 101 0.9× 28 732
Benjamin Turgeon Canada 12 582 1.2× 102 0.5× 76 0.4× 90 0.6× 43 0.4× 14 781
Sonal S. Sheth United States 9 520 1.1× 160 0.7× 76 0.4× 67 0.5× 130 1.1× 10 683
Klaas Romanino Switzerland 8 889 1.8× 237 1.1× 81 0.5× 46 0.3× 377 3.3× 8 1.1k
Mariella Iezzi Switzerland 13 580 1.2× 499 2.3× 527 3.0× 175 1.2× 167 1.5× 17 989

Countries citing papers authored by Nancy Sue

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Sue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy Sue

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

All Works

9 of 9 papers shown
1.
Sue, Nancy, Ebru Boslem, Kwan Yi Chu, et al.. (2025). ER stress disrupts insulin release in murine models of type 2 diabetes by impairing retromer action and constitutive secretion. Cell Reports. 44(5). 115691–115691. 1 indexed citations
2.
Sue, Nancy, Atsushi Saito, Chenxu Yan, et al.. (2023). Independent activation of CREB3L2 by glucose fills a regulatory gap in mouse β-cells by co-ordinating insulin biosynthesis with secretory granule formation. Molecular Metabolism. 79. 101845–101845. 4 indexed citations
3.
Hill, James R., Rebecca C. Coll, Nancy Sue, et al.. (2017). Sulfonylureas as Concomitant Insulin Secretagogues and NLRP3 Inflammasome Inhibitors. ChemMedChem. 12(17). 1449–1457. 49 indexed citations
4.
Biden, Trevor J., Ebru Boslem, Kwan Yi Chu, & Nancy Sue. (2014). Lipotoxic endoplasmic reticulum stress, β cell failure, and type 2 diabetes mellitus. Trends in Endocrinology and Metabolism. 25(8). 389–398. 164 indexed citations
5.
Boslem, Ebru, Jacquelyn M. Weir, Gemma L. MacIntosh, et al.. (2013). Alteration of Endoplasmic Reticulum Lipid Rafts Contributes to Lipotoxicity in Pancreatic β-Cells. Journal of Biological Chemistry. 288(37). 26569–26582. 104 indexed citations
6.
Xue, Jing, Mark E. Graham, Nancy Sue, et al.. (2011). Calcineurin Selectively Docks with the Dynamin Ixb Splice Variant to Regulate Activity-dependent Bulk Endocytosis. Journal of Biological Chemistry. 286(35). 30295–30303. 33 indexed citations
7.
Clayton, Emma L., Nancy Sue, Karen J. Smillie, et al.. (2010). Dynamin I phosphorylation by GSK3 controls activity-dependent bulk endocytosis of synaptic vesicles. Nature Neuroscience. 13(7). 845–851. 134 indexed citations
8.
Eaton, Sally A., Alister P. W. Funnell, Nancy Sue, et al.. (2008). A Network of Krüppel-like Factors (Klfs). Journal of Biological Chemistry. 283(40). 26937–26947. 95 indexed citations
9.
Sue, Nancy, Sally A. Eaton, Richard C. M. Pearson, et al.. (2008). Targeted Disruption of the Basic Krüppel-Like Factor Gene (Klf3) Reveals a Role in Adipogenesis. Molecular and Cellular Biology. 28(12). 3967–3978. 152 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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