Ives Lim

556 total citations
10 papers, 241 citations indexed

About

Ives Lim is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ives Lim has authored 10 papers receiving a total of 241 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ives Lim's work include Epigenetics and DNA Methylation (8 papers), Genetic Syndromes and Imprinting (4 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Ives Lim is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Genetic Syndromes and Imprinting (4 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Ives Lim collaborates with scholars based in Singapore, New Zealand and Canada. Ives Lim's co-authors include Yap Seng Chong, Peter D. Gluckman, Ai Ling Teh, Xinyi Lin, Neerja Karnani, Michael S. Kobor, Julia L. MacIsaac, Joanna D. Holbrook, Michael J. Meaney and Hong Pan and has published in prestigious journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Human Molecular Genetics.

In The Last Decade

Ives Lim

10 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ives Lim Singapore 7 182 55 51 38 28 10 241
Qiaoyun Dai China 9 70 0.4× 68 1.2× 44 0.9× 13 0.3× 29 1.0× 16 236
A. Amante Italy 10 90 0.5× 77 1.4× 62 1.2× 38 1.0× 14 0.5× 36 311
Philip Titcombe United Kingdom 9 126 0.7× 99 1.8× 19 0.4× 9 0.2× 36 1.3× 14 235
Géraldine Gascoin-Lachambre France 8 136 0.7× 154 2.8× 82 1.6× 32 0.8× 31 1.1× 10 307
Mashael Al‐Shafai Qatar 9 195 1.1× 75 1.4× 110 2.2× 8 0.2× 13 0.5× 30 297
Phoebe Wright United States 7 153 0.8× 81 1.5× 34 0.7× 25 0.7× 5 0.2× 15 590
Shaoyan Chang China 14 263 1.4× 136 2.5× 100 2.0× 18 0.5× 51 1.8× 31 443
Hongjun Shi Australia 6 84 0.5× 37 0.7× 35 0.7× 15 0.4× 8 0.3× 10 180
Judith S. Renes Netherlands 10 101 0.6× 135 2.5× 118 2.3× 11 0.3× 8 0.3× 18 292
Diana Caprau United States 9 92 0.5× 139 2.5× 60 1.2× 53 1.4× 10 0.4× 10 321

Countries citing papers authored by Ives Lim

Since Specialization
Citations

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

Fields of papers citing papers by Ives Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ives Lim

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

All Works

10 of 10 papers shown
1.
Pan, Hong, Pei Fang Tan, Ives Lim, et al.. (2022). Integrative multi-omics database (iMOMdb) of Asian pregnant women. Human Molecular Genetics. 31(18). 3051–3067. 2 indexed citations
2.
Liew, Mei Fong, Hui Fang Lim, Mui Cheng Liang, et al.. (2022). Dominant Negative TRAF3 Variant With Recurrent Mycobacterium abscessus Infection and Bronchiectasis. Open Forum Infectious Diseases. 9(8). ofac379–ofac379. 1 indexed citations
3.
Lim, Ives, Xinyi Lin, Ai Ling Teh, et al.. (2021). Dichotomy in the Impact of Elevated Maternal Glucose Levels on Neonatal Epigenome. The Journal of Clinical Endocrinology & Metabolism. 107(3). e1277–e1292. 4 indexed citations
4.
Krause, Julia, Marc N. Hirt, Wilson Lek Wen Tan, et al.. (2021). Hypertrophic signaling compensates for contractile and metabolic consequences of DNA methyltransferase 3A loss in human cardiomyocytes. Journal of Molecular and Cellular Cardiology. 154. 115–123. 7 indexed citations
5.
Krause, Julia, Marc N. Hirt, Sandra D. Laufer, et al.. (2020). An Important Role for DNMT3A-Mediated DNA Methylation in Cardiomyocyte Metabolism and Contractility. Circulation. 142(16). 1562–1578. 56 indexed citations
6.
Wu, Yonghui, Xinyi Lin, Ives Lim, et al.. (2019). Analysis of two birth tissues provides new insights into the epigenetic landscape of neonates born preterm. Clinical Epigenetics. 11(1). 26–26. 24 indexed citations
7.
Lin, Xinyi, Ai Ling Teh, Ives Lim, et al.. (2018). Cell type-specific DNA methylation in neonatal cord tissue and cord blood: a 850K-reference panel and comparison of cell types. Epigenetics. 13(9). 941–958. 28 indexed citations
8.
Lin, Xinyi, Ai Ling Teh, Li Chen, et al.. (2017). Choice of surrogate tissue influences neonatal EWAS findings. BMC Medicine. 15(1). 211–211. 26 indexed citations
9.
Teh, Ai Ling, Hong Pan, Xinyi Lin, et al.. (2016). Comparison of Methyl-capture Sequencing vs. Infinium 450K methylation array for methylome analysis in clinical samples. Epigenetics. 11(1). 36–48. 36 indexed citations
10.
Pan, Hong, Li Chen, Shaillay Kumar Dogra, et al.. (2012). Measuring the methylome in clinical samples: Improved processing of the Infinium Human Methylation450 BeadChip Array. Epigenetics. 7(10). 1173–1187. 57 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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