Keng-Thye Woo

417 total citations
12 papers, 214 citations indexed

About

Keng-Thye Woo is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Keng-Thye Woo has authored 12 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nephrology, 8 papers in Cardiology and Cardiovascular Medicine and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Keng-Thye Woo's work include Renin-Angiotensin System Studies (8 papers), Renal Diseases and Glomerulopathies (7 papers) and Hormonal Regulation and Hypertension (5 papers). Keng-Thye Woo is often cited by papers focused on Renin-Angiotensin System Studies (8 papers), Renal Diseases and Glomerulopathies (7 papers) and Hormonal Regulation and Hypertension (5 papers). Keng-Thye Woo collaborates with scholars based in Singapore, United States and France. Keng-Thye Woo's co-authors include Kok‐Seng Wong, G.S.C. Chiang, Stephanie Fook‐Chong, Anantharaman Vathsala, Marjorie Foo, Hui‐Kim Yap, Yi Zhao, Evan Lee, Puay Hoon Tan and Chorh Chuan Tan and has published in prestigious journals such as Kidney International, American Journal of Nephrology and Nephrology.

In The Last Decade

Keng-Thye Woo

12 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keng-Thye Woo Singapore 8 148 98 58 38 31 12 214
Gema Fernández Juárez Spain 2 210 1.4× 41 0.4× 28 0.5× 10 0.3× 92 3.0× 7 255
Isabella Barzon Italy 5 162 1.1× 52 0.5× 89 1.5× 5 0.1× 22 0.7× 7 256
Diana Moldovan Romania 11 111 0.8× 30 0.3× 22 0.4× 6 0.2× 27 0.9× 42 244
Stefan Holzmann Germany 3 178 1.2× 49 0.5× 19 0.3× 23 0.6× 45 1.5× 6 321
Kristian B. Buhl Denmark 9 143 1.0× 48 0.5× 47 0.8× 19 0.5× 118 3.8× 11 335
Kenichiro Shigemoto Japan 10 117 0.8× 50 0.5× 14 0.2× 7 0.2× 44 1.4× 34 206
Francesca Calero Spain 9 70 0.5× 53 0.5× 6 0.1× 10 0.3× 43 1.4× 17 170
Daan A M J Hollander Netherlands 6 121 0.8× 25 0.3× 12 0.2× 11 0.3× 39 1.3× 7 170
Roger Wyndham Australia 7 48 0.3× 22 0.2× 22 0.4× 7 0.2× 19 0.6× 9 110
Ewelina Łukaszyk Poland 7 46 0.3× 11 0.1× 11 0.2× 34 0.9× 42 1.4× 9 207

Countries citing papers authored by Keng-Thye Woo

Since Specialization
Citations

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

Fields of papers citing papers by Keng-Thye Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keng-Thye Woo. 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 Keng-Thye Woo. The network helps show where Keng-Thye Woo may publish in the future.

Co-authorship network of co-authors of Keng-Thye Woo

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

All Works

12 of 12 papers shown
1.
Woo, Keng-Thye, Cynthia Lim, Jason Choo, et al.. (2019). Changes in primary glomerulonephritis in Singapore over four decades. Clinical Nephrology. 91(3). 155–161. 4 indexed citations
2.
Woo, Keng-Thye, Kok‐Seng Wong, Marjorie Foo, et al.. (2014). Aliskiren and losartan trial in non-diabetic chronic kidney disease. Journal of the Renin-Angiotensin-Aldosterone System. 15(4). 515–522. 15 indexed citations
3.
Woo, Keng-Thye, et al.. (2013). A retrospective Aliskiren and Losartan study in non-diabetic chronic kidney disease.. PubMed. 2(4). 129–35. 1 indexed citations
4.
Woo, Keng-Thye, Marjorie Foo, Anantharaman Vathsala, et al.. (2010). Global Evolutionary Trend of the Prevalence of Primary Glomerulonephritis over the Past Three Decades. Nephron Clinical Practice. 116(4). c337–c346. 49 indexed citations
5.
Woo, Keng-Thye, et al.. (2009). Clinical Trials of the Past Decade in the Management of Chronic Kidney Disease. Reviews on Recent Clinical Trials. 4(3). 159–162. 8 indexed citations
6.
Woo, Keng-Thye, et al.. (2008). Angiotensin-Converting Enzyme Inhibitor versus Angiotensin 2 Receptor Antagonist Therapy and the Influence of Angiotensin-Converting Enzyme Gene Polymorphism in IgA Nephritis. Annals of the Academy of Medicine Singapore. 37(5). 372–376. 5 indexed citations
7.
Woo, Keng-Thye, Marjorie Foo, Evan J.C. Lee, et al.. (2008). High dose Losartan and ACE gene polymorphism in IgA nephritis. PubMed. 2(3-4). 83–91. 7 indexed citations
8.
Woo, Keng-Thye, et al.. (2006). Clinical Trials and Management of Chronic Kidney Disease. Asia-Pacific Biotech News. 10(21). 1221–1227. 1 indexed citations
9.
Woo, Keng-Thye, et al.. (2004). Polymorphism of renin‐angiotensin system genes in IgA nephropathy. Nephrology. 9(5). 304–309. 16 indexed citations
10.
11.
Woo, Keng-Thye, et al.. (2000). ACEI/ATRA therapy decreases proteinuria by improving glomerular permselectivity in IgA nephritis. Kidney International. 58(6). 2485–2491. 84 indexed citations
12.
Lee, Bee-Wah, Hui‐Kim Yap, Richard Guan, et al.. (1991). Cell-Mediated Immunity in Patients on Hemodialysis: Relationship with Hepatitis B Carrier Status. American Journal of Nephrology. 11(2). 98–101. 9 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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