Sok Cin Tye

2.0k total citations
8 papers, 54 citations indexed

About

Sok Cin Tye is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Nephrology. According to data from OpenAlex, Sok Cin Tye has authored 8 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Surgery and 3 papers in Nephrology. Recurrent topics in Sok Cin Tye's work include Diabetes Treatment and Management (6 papers), Chronic Kidney Disease and Diabetes (3 papers) and Pancreatic function and diabetes (3 papers). Sok Cin Tye is often cited by papers focused on Diabetes Treatment and Management (6 papers), Chronic Kidney Disease and Diabetes (3 papers) and Pancreatic function and diabetes (3 papers). Sok Cin Tye collaborates with scholars based in Netherlands, Australia and United States. Sok Cin Tye's co-authors include Hiddo J.L. Heerspink, Petra Denig, Sieta T. de Vries, Christoph Wanner, Johannes F.E. Mann, Robin P.F. Dullaart, Gérard Hopfgartner, Bruce Neal, Vlado Perkovic and Niels Jongs and has published in prestigious journals such as Diabetologia, Clinical Journal of the American Society of Nephrology and Nephrology Dialysis Transplantation.

In The Last Decade

Sok Cin Tye

7 papers receiving 52 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sok Cin Tye Netherlands 5 29 20 17 15 7 8 54
Yingying Sang United States 4 48 1.7× 45 2.3× 15 0.9× 14 0.9× 13 1.9× 5 97
Nino Cristiano Chilelli Italy 4 29 1.0× 5 0.3× 17 1.0× 14 0.9× 15 2.1× 7 59
Yongze Zhuang China 5 14 0.5× 42 2.1× 9 0.5× 12 0.8× 5 0.7× 11 66
Jayakumari Chellamma India 6 59 2.0× 5 0.3× 16 0.9× 15 1.0× 4 0.6× 14 97
B. Krtalic Croatia 3 9 0.3× 8 0.4× 9 0.5× 14 0.9× 8 1.1× 7 53
Fritz-Line Vélayoudom France 5 49 1.7× 6 0.3× 15 0.9× 8 0.5× 10 1.4× 10 78
Cijang He United Kingdom 2 30 1.0× 16 0.8× 20 1.2× 9 0.6× 4 0.6× 2 99
Cielo Alleyn United States 4 41 1.4× 21 1.1× 24 1.4× 3 0.2× 9 1.3× 4 86
Azra Durak-Nalbantić Bosnia and Herzegovina 5 14 0.5× 11 0.6× 12 0.7× 13 0.9× 42 6.0× 19 76
Sara Mazzocut Italy 3 75 2.6× 22 1.1× 9 0.5× 28 1.9× 2 0.3× 3 103

Countries citing papers authored by Sok Cin Tye

Since Specialization
Citations

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

Fields of papers citing papers by Sok Cin Tye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sok Cin Tye. 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 Sok Cin Tye. The network helps show where Sok Cin Tye may publish in the future.

Co-authorship network of co-authors of Sok Cin Tye

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

All Works

8 of 8 papers shown
1.
Kobayashi, Hiroki, Helen C. Looker, Zaipul I. Md Dom, et al.. (2024). Classification of Predictors of Rapid Development of Kidney Failure and Short-Term Changes in Concentration of Circulating Proteins. Clinical Journal of the American Society of Nephrology. 20(2). 186–196.
3.
Klont, Frank, Sok Cin Tye, Daan Kremer, et al.. (2022). Association of diuretic use with increased risk for long-term post-transplantation diabetes mellitus in kidney transplant recipients. Nephrology Dialysis Transplantation. 37(7). 1375–1383. 5 indexed citations
4.
Tye, Sok Cin, Sieta T. de Vries, Christoph Wanner, Petra Denig, & Hiddo J.L. Heerspink. (2022). Prediction of the Effects of Empagliflozin on Cardiovascular and Kidney Outcomes Based on Short-Term Changes in Multiple Risk Markers. Frontiers in Pharmacology. 12. 786706–786706. 8 indexed citations
5.
Tye, Sok Cin, Niels Jongs, Steven G. Coca, et al.. (2022). Initiation of the SGLT2 inhibitor canagliflozin to prevent kidney and heart failure outcomes guided by HbA1c, albuminuria, and predicted risk of kidney failure. Cardiovascular Diabetology. 21(1). 194–194. 6 indexed citations
6.
Tye, Sok Cin, Sieta T. de Vries, Johannes F.E. Mann, et al.. (2022). Prediction of the Effects of Liraglutide on Kidney and Cardiovascular Outcomes Based on Short-Term Changes in Multiple Risk Markers. Frontiers in Pharmacology. 13. 786767–786767. 5 indexed citations
7.
Tye, Sok Cin, Petra Denig, & Hiddo J.L. Heerspink. (2021). Precision medicine approaches for diabetic kidney disease: opportunities and challenges. Nephrology Dialysis Transplantation. 36(Supplement_2). ii3–ii9. 26 indexed citations
8.
Tye, Sok Cin, et al.. (2021). A novel drug response score more accurately predicts renoprotective drug effects than existing renal risk scores. Therapeutic Advances in Endocrinology and Metabolism. 12. 2389894767–2389894767. 2 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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