Chay Ngee Lim

425 total citations
11 papers, 319 citations indexed

About

Chay Ngee Lim is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Chay Ngee Lim has authored 11 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Chay Ngee Lim's work include Renal and related cancers (2 papers), Renal Diseases and Glomerulopathies (2 papers) and Diabetes Treatment and Management (2 papers). Chay Ngee Lim is often cited by papers focused on Renal and related cancers (2 papers), Renal Diseases and Glomerulopathies (2 papers) and Diabetes Treatment and Management (2 papers). Chay Ngee Lim collaborates with scholars based in United States, Singapore and United Kingdom. Chay Ngee Lim's co-authors include Haoda Fu, Parag Garhyan, Mark A. Deeg, Thomas A. Hardy, David E. Watson, Ying Ding, Chunxue Shi, Andrew Lewin, Ronan P. Kelly and David E. Moller and has published in prestigious journals such as Diabetes Care, Clinical Pharmacokinetics and Urology.

In The Last Decade

Chay Ngee Lim

11 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chay Ngee Lim United States 7 218 168 125 32 32 11 319
Ariadni Spyroglou Germany 13 255 1.2× 166 1.0× 95 0.8× 13 0.4× 28 0.9× 31 442
Masahiko Miyagi Japan 6 244 1.1× 87 0.5× 100 0.8× 30 0.9× 23 0.7× 15 321
Alena Welters Germany 9 154 0.7× 101 0.6× 72 0.6× 13 0.4× 62 1.9× 24 262
Koichiro Nabe Japan 10 132 0.6× 159 0.9× 111 0.9× 16 0.5× 41 1.3× 15 287
Seizo Okauchi Japan 11 282 1.3× 218 1.3× 169 1.4× 25 0.8× 39 1.2× 27 389
Shaista Quddusi United States 5 237 1.1× 169 1.0× 81 0.6× 25 0.8× 30 0.9× 6 312
Elizabeth Bandeira-Echtler Germany 4 345 1.6× 116 0.7× 156 1.2× 49 1.5× 22 0.7× 5 409
M Hosoi Japan 13 117 0.5× 63 0.4× 120 1.0× 27 0.8× 21 0.7× 25 374
Phyllis Y. Reaves United States 10 117 0.5× 81 0.5× 212 1.7× 37 1.2× 32 1.0× 12 454
Namita G. Hattangady United States 9 516 2.4× 345 2.1× 219 1.8× 39 1.2× 66 2.1× 12 609

Countries citing papers authored by Chay Ngee Lim

Since Specialization
Citations

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

Fields of papers citing papers by Chay Ngee Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chay Ngee Lim. 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 Chay Ngee Lim. The network helps show where Chay Ngee Lim may publish in the future.

Co-authorship network of co-authors of Chay Ngee Lim

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

All Works

11 of 11 papers shown
1.
Lim, Chay Ngee, et al.. (2023). Using Mitra Sampling to Support First-in-Human Pharmacokinetic Evaluations for PF-07059013. Bioanalysis. 15(17). 1083–1094. 2 indexed citations
2.
Beck, Laurence H., Stephen P. Berasi, J. Brian Copley, et al.. (2021). PODO: Trial Design: Phase 2 Study of PF-06730512 in Focal Segmental Glomerulosclerosis. Kidney International Reports. 6(6). 1629–1633. 10 indexed citations
3.
Lim, Chay Ngee, et al.. (2021). A Phase 1 first‐in‐human study of the safety, tolerability, and pharmacokinetics of the ROBO2 fusion protein PF‐06730512 in healthy participants. Pharmacology Research & Perspectives. 9(4). e00813–e00813. 4 indexed citations
4.
Lim, Chay Ngee, et al.. (2016). Phxnlme: An R package that facilitates pharmacometric workflow of Phoenix NLME analyses. Computer Methods and Programs in Biomedicine. 140. 121–129. 2 indexed citations
5.
6.
Kelly, Raymond P., Parag Garhyan, Eyas Raddad, et al.. (2015). Short‐term administration of the glucagon receptor antagonist LY2409021 lowers blood glucose in healthy people and in those with type 2 diabetes. Diabetes Obesity and Metabolism. 17(4). 414–422. 92 indexed citations
7.
Kazda, Christof, Ying Ding, Ronan P. Kelly, et al.. (2015). Evaluation of Efficacy and Safety of the Glucagon Receptor Antagonist LY2409021 in Patients With Type 2 Diabetes: 12- and 24-Week Phase 2 Studies. Diabetes Care. 39(7). 1241–1249. 163 indexed citations
8.
Lim, Chay Ngee, Angela K. Birnbaum, Richard C. Brundage, et al.. (2015). Pharmacokinetic‐Pharmacodynamic Modeling of Intravenous and Oral Topiramate and Its Effect on the Symbol‐Digit Modalities Test in Adult Healthy Volunteers. The Journal of Clinical Pharmacology. 56(6). 714–722. 6 indexed citations
9.
Chen, Christopher, Brian A. Willis, Louise Mooney, et al.. (2010). Cortisol response to individualised graded insulin infusions: a reproducible biomarker for CNS compounds inhibiting HPA activation. British Journal of Clinical Pharmacology. 70(6). 886–894. 7 indexed citations
10.
11.
Fok, Tai Fai, et al.. (2001). Oxygen consumption and resting energy expenditure during phototherapy in full term and preterm newborn infants. Archives of Disease in Childhood Fetal & Neonatal. 85(1). F49–F52. 11 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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2026