Kevin Lim

1.1k total citations
15 papers, 305 citations indexed

About

Kevin Lim is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Kevin Lim has authored 15 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Biomedical Engineering and 2 papers in Surgery. Recurrent topics in Kevin Lim's work include Advanced Chemical Sensor Technologies (4 papers), Bioinformatics and Genomic Networks (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Kevin Lim is often cited by papers focused on Advanced Chemical Sensor Technologies (4 papers), Bioinformatics and Genomic Networks (2 papers) and Neurobiology and Insect Physiology Research (2 papers). Kevin Lim collaborates with scholars based in Singapore, China and Sweden. Kevin Lim's co-authors include Limsoon Wong, Niranjan Nagarajan, Zhe Yu, Choon Kiat Ong, Cedric Chuan Young Ng, Sanjay Swarup, Patrick Tan, Vikneswari Rajasegaran, Chern Han Yong and Weng Khong Lim and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Kevin Lim

14 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Lim Singapore 7 178 94 35 32 31 15 305
Binjie Xu China 13 169 0.9× 264 2.8× 32 0.9× 10 0.3× 12 0.4× 28 439
Wook Jin Kim South Korea 13 250 1.4× 143 1.5× 14 0.4× 22 0.7× 41 1.3× 40 389
Christine L. Kirkpatrick United States 8 277 1.6× 22 0.2× 19 0.5× 16 0.5× 26 0.8× 14 341
Xiaofeng Chi China 12 211 1.2× 131 1.4× 9 0.3× 34 1.1× 57 1.8× 41 400
Xuechun Zhao United States 7 230 1.3× 106 1.1× 52 1.5× 9 0.3× 32 1.0× 13 351
Jong Bok Seo South Korea 13 252 1.4× 176 1.9× 8 0.2× 7 0.2× 30 1.0× 38 496
Zhao Song China 7 241 1.4× 240 2.6× 24 0.7× 18 0.6× 16 0.5× 21 422
Annunziata Cascone Italy 11 125 0.7× 301 3.2× 16 0.5× 9 0.3× 55 1.8× 12 489
Federico Martínez-Seidel Germany 10 234 1.3× 165 1.8× 24 0.7× 8 0.3× 17 0.5× 22 322

Countries citing papers authored by Kevin Lim

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Lim

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

All Works

15 of 15 papers shown
1.
Wu, Xiaorong, Xianning Lai, Huan Fan, et al.. (2025). A legume-enriched diet improves metabolic health in prediabetes mediated through gut microbiome: a randomized controlled trial. Nature Communications. 16(1). 942–942. 6 indexed citations
2.
Ding, Yi, et al.. (2025). EmT: A Novel Transformer for Generalized Cross-Subject EEG Emotion Recognition. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10381–10393. 8 indexed citations
3.
Ding, Yi, Aung Aung Phyo Wai, H.C. Chua, et al.. (2025). Decoding olfactory response from neurophysiological signal with a multi modal deep learning framework. Neural Networks. 191. 107775–107775.
4.
Ding, Yi, et al.. (2024). TASA: Temporal Attention With Spatial Autoencoder Network for Odor-Induced Emotion Classification Using EEG. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 1944–1954. 2 indexed citations
5.
Yu, Zhe, et al.. (2023). Class-specific correction and classification of NIR spectra of edible oils. Chemometrics and Intelligent Laboratory Systems. 241. 104977–104977. 2 indexed citations
6.
Lim, Kevin, et al.. (2022). Genetic Algorithm Predicts Blended Oil Formulations with Improved Nutrition, Prolonged Frying Life, and Low Cost. ACS Food Science & Technology. 2(10). 1517–1524. 1 indexed citations
7.
Park, Mi Ae, Sumanto Haldar, Kevin Lim, et al.. (2022). Gut microbiome responses to dietary intervention with hypocholesterolemic vegetable oils. npj Biofilms and Microbiomes. 8(1). 24–24. 24 indexed citations
8.
Lim, Kevin, Eva Rambech, Mads Hald Andersen, et al.. (2021). Lynch syndrome-associated epithelial ovarian cancer and its immunological profile. Gynecologic Oncology. 162(3). 686–693. 10 indexed citations
9.
10.
Lim, Kevin, et al.. (2020). Volatile analysis of palm kernel cake for inclusion in pig feed. All Life. 13(1). 634–643. 1 indexed citations
11.
Lim, Kevin, et al.. (2020). Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures. Nature Communications. 11(1). 5353–5353. 45 indexed citations
12.
Teh, Bin Tean, Kevin Lim, Chern Han Yong, et al.. (2017). The draft genome of tropical fruit durian (Durio zibethinus). Nature Genetics. 49(11). 1633–1641. 146 indexed citations
13.
Lim, Kevin, Zhenhua Li, Kwok Pui Choi, & Limsoon Wong. (2015). A quantum leap in the reproducibility, precision, and sensitivity of gene expression profile analysis even when sample size is extremely small. Journal of Bioinformatics and Computational Biology. 13(4). 1550018–1550018. 18 indexed citations
14.
Buonamici, Silvia, Kevin Lim, Jacob Feala, et al.. (2014). 456 SF3B1 mutations induce disease relevant aberrant mRNA splicing in cancer and confer sensitivity to spliceosome inhibition. European Journal of Cancer. 50. 149–149. 2 indexed citations
15.
Lim, Kevin & Limsoon Wong. (2013). Finding consistent disease subnetworks using PFSNet. Bioinformatics. 30(2). 189–196. 35 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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