Sheon Mary

1.0k total citations
31 papers, 668 citations indexed

About

Sheon Mary is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sheon Mary has authored 31 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sheon Mary's work include Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (6 papers) and Thermoregulation and physiological responses (4 papers). Sheon Mary is often cited by papers focused on Pregnancy and preeclampsia studies (6 papers), Birth, Development, and Health (6 papers) and Thermoregulation and physiological responses (4 papers). Sheon Mary collaborates with scholars based in United Kingdom, India and Germany. Sheon Mary's co-authors include Sundaram Selvam, Chamukuttan Snehalatha, Ambady Ramachandran, Christian Delles, Sathishkumar Chandrakumar, Vijay Viswanathan, Ashok P. Giri, Mahesh J. Kulkarni, Rhian M. Touyz and Karla B Neves and has published in prestigious journals such as Nature Communications, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Sheon Mary

28 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheon Mary United Kingdom 13 263 127 106 92 90 31 668
Zbigniew Bartoszewicz Poland 15 110 0.4× 97 0.8× 69 0.7× 77 0.8× 173 1.9× 46 615
Mirosława Urban Poland 14 209 0.8× 104 0.8× 191 1.8× 148 1.6× 95 1.1× 74 796
Minerva Granado-Casas Spain 13 186 0.7× 65 0.5× 88 0.8× 63 0.7× 73 0.8× 35 448
Abdallah Al‐Salameh France 11 159 0.6× 124 1.0× 74 0.7× 155 1.7× 92 1.0× 39 608
Chiara Zusi Italy 15 211 0.8× 102 0.8× 78 0.7× 326 3.5× 69 0.8× 47 696
Roman Janas Poland 15 153 0.6× 112 0.9× 253 2.4× 107 1.2× 152 1.7× 42 812
Ismail H. Kocar Türkiye 18 130 0.5× 111 0.9× 59 0.6× 95 1.0× 79 0.9× 29 702
Taner Bayraktaroğlu Türkiye 12 197 0.7× 76 0.6× 52 0.5× 79 0.9× 177 2.0× 71 659
Helle C. Thiesson Denmark 15 125 0.5× 228 1.8× 53 0.5× 65 0.7× 52 0.6× 47 700
Sean Heffron United States 16 106 0.4× 101 0.8× 125 1.2× 121 1.3× 220 2.4× 52 682

Countries citing papers authored by Sheon Mary

Since Specialization
Citations

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

Fields of papers citing papers by Sheon Mary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheon Mary

This figure shows the co-authorship network connecting the top 25 collaborators of Sheon Mary. A scholar is included among the top collaborators of Sheon Mary 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 Sheon Mary. Sheon Mary 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.
2.
Mary, Sheon, Alan D. Robertson, Fiona Jordan, et al.. (2025). Nanobody-thioesterase chimeras to specifically target protein palmitoylation. Nature Communications. 16(1). 1445–1445. 2 indexed citations
3.
Mary, Sheon, Christian Delles, Sandosh Padmanabhan, et al.. (2024). Insights into Uromodulin and Blood Pressure. Current Hypertension Reports. 26(12). 497–504. 1 indexed citations
4.
Mary, Sheon, Frances Conti‐Ramsden, Jessica Fleminger, et al.. (2024). Pregnancy-associated changes in urinary uromodulin excretion in chronic hypertension. Journal of Nephrology. 37(3). 597–610. 1 indexed citations
5.
Mary, Sheon, et al.. (2023). Skin-specific mechanisms of body fluid regulation in hypertension. Clinical Science. 137(3). 239–250. 6 indexed citations
6.
Mels, Catharina M. C., Aletta E. Schutte, Christian Delles, et al.. (2023). Identifying a urinary peptidomics profile for hypertension in young adults: The African‐PREDICT study. PROTEOMICS. 23(11). e2200444–e2200444. 6 indexed citations
7.
Mels, Catharina M. C., Aletta E. Schutte, Christian Delles, et al.. (2023). Urinary Peptidomics and Pulse Wave Velocity: The African-PREDICT Study. Journal of Proteome Research. 22(10). 3282–3289.
8.
Montezano, Augusto C., Lívia L. Camargo, Sheon Mary, et al.. (2023). SARS-CoV-2 spike protein induces endothelial inflammation via ACE2 independently of viral replication. Scientific Reports. 13(1). 14086–14086. 32 indexed citations
9.
Mary, Sheon, Sandosh Padmanabhan, Martin McBride, et al.. (2022). Role of Uromodulin in Salt-Sensitive Hypertension. Hypertension. 79(11). 2419–2429. 18 indexed citations
10.
Gao, Xing, Elaine Brown, Francisco J. Rios, et al.. (2022). Palmitoylation regulates cellular distribution of and transmembrane Ca flux through TrpM7. Cell Calcium. 106. 102639–102639. 16 indexed citations
11.
Mels, Catharina M. C., Aletta E. Schutte, Christian Delles, et al.. (2022). A urinary peptidomics approach for early stages of cardiovascular disease risk: The African-PREDICT study. Hypertension Research. 46(2). 485–494. 2 indexed citations
12.
Mary, Sheon, Giacomo Rossitto, Lesley Graham, et al.. (2021). Salt loading decreases urinary excretion and increases intracellular accumulation of uromodulin in stroke-prone spontaneously hypertensive rats. Clinical Science. 135(24). 2749–2761. 7 indexed citations
13.
Rossitto, Giacomo, Sheon Mary, Karla B Neves, et al.. (2020). Reduced Lymphatic Reserve in Heart Failure With Preserved Ejection Fraction. Journal of the American College of Cardiology. 76(24). 2817–2829. 50 indexed citations
14.
Rossitto, Giacomo, Sheon Mary, Karla B Neves, et al.. (2020). Tissue sodium excess is not hypertonic and reflects extracellular volume expansion. Nature Communications. 11(1). 4222–4222. 67 indexed citations
15.
Small, Heather Yvonne, et al.. (2019). Resistin Mediates Sex-Dependent Effects of Perivascular Adipose Tissue on Vascular Function in the Shrsp. Scientific Reports. 9(1). 6897–6897. 23 indexed citations
16.
Currie, Gemma, Bernt Johan von Scholten, Sheon Mary, et al.. (2018). Urinary proteomics for prediction of mortality in patients with type 2 diabetes and microalbuminuria. Cardiovascular Diabetology. 17(1). 50–50. 38 indexed citations
17.
Mary, Sheon, Mahesh J. Kulkarni, Savita Mehendale, Sadhana Joshi, & Ashok P. Giri. (2017). Tubulointerstitial nephritis antigen-like 1 protein is downregulated in the placenta of pre-eclamptic women. Clinical Proteomics. 14(1). 8–8. 10 indexed citations
18.
Mary, Sheon, Asmita Kulkarni, Mahesh J. Kulkarni, et al.. (2012). Dynamic proteome in enigmatic preeclampsia: An account of molecular mechanisms and biomarker discovery. PROTEOMICS - CLINICAL APPLICATIONS. 6(1-2). 79–90. 8 indexed citations
19.
20.
Snehalatha, Chamukuttan, Sheon Mary, Sathishkumar Chandrakumar, et al.. (2004). Temporal changes in prevalence of diabetes and impaired glucose tolerance associated with lifestyle transition occurring in the rural population in India. Diabetologia. 47(5). 860–865. 197 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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