Clare Hassett

443 total citations
9 papers, 374 citations indexed

About

Clare Hassett is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Molecular Biology. According to data from OpenAlex, Clare Hassett has authored 9 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Nephrology and 2 papers in Molecular Biology. Recurrent topics in Clare Hassett's work include Chronic Kidney Disease and Diabetes (3 papers), Estrogen and related hormone effects (2 papers) and Diabetes Treatment and Management (2 papers). Clare Hassett is often cited by papers focused on Chronic Kidney Disease and Diabetes (3 papers), Estrogen and related hormone effects (2 papers) and Diabetes Treatment and Management (2 papers). Clare Hassett collaborates with scholars based in United States. Clare Hassett's co-authors include Richard A. Patrick, James C. Hollers, C. Wayne Smith, Pedro Cortés, Christopher J. Guérin, Alicia Rodríguez‐Barbero, Bruce L. Riser, Jerry Yee, Mariela Méndez and Giovanna A. Giannico and has published in prestigious journals such as Journal of Clinical Investigation, JNCI Journal of the National Cancer Institute and Kidney International.

In The Last Decade

Clare Hassett

9 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clare Hassett United States 6 135 103 71 63 53 9 374
Annette Janning Germany 7 311 2.3× 170 1.7× 54 0.8× 16 0.3× 14 0.3× 8 441
Melanie Salvermoser Germany 11 177 1.3× 299 2.9× 105 1.5× 28 0.4× 35 0.7× 19 501
Lynelle K. Jones Australia 14 199 1.5× 159 1.5× 20 0.3× 58 0.9× 91 1.7× 19 522
Elena Schnabel‐Besson Germany 8 348 2.6× 43 0.4× 50 0.7× 288 4.6× 110 2.1× 17 582
Selina McHarg United Kingdom 12 223 1.7× 187 1.8× 19 0.3× 22 0.3× 21 0.4× 18 605
Sadashige Sakuma Japan 13 163 1.2× 53 0.5× 61 0.9× 16 0.3× 39 0.7× 33 387
Martine Huet France 9 183 1.4× 65 0.6× 39 0.5× 11 0.2× 52 1.0× 14 512
Marco Trevisán-Herraz Spain 10 306 2.3× 82 0.8× 13 0.2× 26 0.4× 18 0.3× 17 541
K Ohta Japan 13 117 0.9× 166 1.6× 16 0.2× 20 0.3× 85 1.6× 29 544
Masako Saka Japan 9 125 0.9× 99 1.0× 32 0.5× 22 0.3× 9 0.2× 11 461

Countries citing papers authored by Clare Hassett

Since Specialization
Citations

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

Fields of papers citing papers by Clare Hassett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clare Hassett

This figure shows the co-authorship network connecting the top 25 collaborators of Clare Hassett. A scholar is included among the top collaborators of Clare Hassett 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 Clare Hassett. Clare Hassett 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.
Umanath, Kausik, Ruicong She, Clare Hassett, et al.. (2023). Urine Cell Transcriptomes Implicate Specific Renal Inflammatory Pathways Associated With Difficult‐to‐Control Hypertension. Journal of the American Heart Association. 12(6). e026242–e026242. 1 indexed citations
2.
Zhu, Li, et al.. (2012). Glibenclamide Induces Collagen IV Catabolism in High Glucose-Stimulated Mesangial Cells. Experimental Diabetes Research. 2012. 1–9. 3 indexed citations
3.
Cortés, Pedro, et al.. (2007). Effects of long-term elevated glucose on collagen formation by mesangial cells. Kidney International. 72(10). 1216–1225. 19 indexed citations
4.
Giannico, Giovanna A., et al.. (2006). Glibenclamide prevents increased extracellular matrix formation induced by high glucose concentration in mesangial cells. American Journal of Physiology-Renal Physiology. 292(1). F57–F65. 20 indexed citations
5.
Hassett, Clare, et al.. (2005). Effects of sulfonylureas, α-endosulfine counterparts, on glomerulosclerosis in type 1 and type 2 models of diabetes. Kidney International. 67(2). 554–565. 12 indexed citations
6.
Cortés, Pedro, Mariela Méndez, Bruce L. Riser, et al.. (2000). F-actin fiber distribution in glomerular cells: Structural and functional implications. Kidney International. 58(6). 2452–2461. 71 indexed citations
7.
Smith, C. Wayne, James C. Hollers, Richard A. Patrick, & Clare Hassett. (1979). Motility and Adhesiveness in Human Neutrophils. Journal of Clinical Investigation. 63(2). 221–229. 229 indexed citations
8.
Welsch, C W, et al.. (1977). 17β-oestradiol and Enovid mammary tumorigenesis in C3H/HeJ female mice: counteraction by concurrent 2-bromo-α-ergocryptine. British Journal of Cancer. 35(3). 322–328. 15 indexed citations
9.
Welsch, Clifford W., Linda K. Lambrecht, & Clare Hassett. (1977). Suppression of Mammary Tumorigenesis in C3H/He Mice by Ovariectomy or Treatment With 2-Bromo- α -ergocryptine: A Comparison 2. JNCI Journal of the National Cancer Institute. 58(4). 1135–1138. 4 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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