Wei Keat Lim

6.6k total citations · 4 hit papers
43 papers, 4.4k citations indexed

About

Wei Keat Lim is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Wei Keat Lim has authored 43 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Immunology and 7 papers in Physiology. Recurrent topics in Wei Keat Lim's work include Bioinformatics and Genomic Networks (9 papers), IL-33, ST2, and ILC Pathways (8 papers) and Eosinophilic Esophagitis (6 papers). Wei Keat Lim is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), IL-33, ST2, and ILC Pathways (8 papers) and Eosinophilic Esophagitis (6 papers). Wei Keat Lim collaborates with scholars based in United States, Singapore and Canada. Wei Keat Lim's co-authors include Andrea Califano, Kai Wang, Riccardo Dalla‐Favera, Adam A. Margolin, Mariano J. Alvarez, Anna Lasorella, Antonio Iavarone, Maria Stella Carro, Xudong Zhao and Céline Lefèbvre and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Wei Keat Lim

41 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The transcriptional network for mesenchymal transformation of brain tumours

2009 919 citations Maria Stella Carro, Wei Keat Lim et al. Nature profile →
Mutations of multiple genes cause deregulation of NF-κB in diffuse large B-cell lymphoma

2009 795 citations Mara Compagno, Wei Keat Lim et al. Nature profile →
NOTCH1 directly regulates c-MYC and activates a feed-forward-loop transcriptional network promoting leukemic cell growth

2006 639 citations Teresa Palomero, Wei Keat Lim et al. Proceedings of the National Academy of Sciences profile →
Dual blockade of IL‐4 and IL‐13 with dupilumab, an IL‐4Rα antibody, is required to broadly inhibit type 2 inflammation

2019 330 citations Audrey Le Floc’h, Jeanne Allinne et al. Allergy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Keat Lim United States	19	2.5k	854	838	753	671	43	4.4k
Mariona Graupera Spain	35	2.4k 1.0×	546 0.6×	493 0.6×	978 1.3×	328 0.5×	59	4.6k
Sandra E. Dunn Canada	43	3.5k 1.4×	1.1k 1.3×	339 0.4×	1.5k 2.0×	351 0.5×	99	5.1k
Kan Lu United States	22	1.9k 0.7×	1.1k 1.3×	532 0.6×	868 1.2×	236 0.4×	38	3.4k
Michael Kluk United States	29	2.9k 1.1×	369 0.4×	492 0.6×	606 0.8×	454 0.7×	53	4.3k
Yan W. Asmann United States	45	3.1k 1.2×	1.1k 1.3×	514 0.6×	1.0k 1.3×	650 1.0×	154	5.9k
Lauri Eklund Finland	31	2.2k 0.9×	700 0.8×	380 0.5×	1.1k 1.4×	258 0.4×	63	4.6k
Thomas Tousseyn Belgium	41	1.4k 0.6×	399 0.5×	711 0.8×	1.9k 2.5×	1.6k 2.4×	162	5.0k
Ruud Delwel Netherlands	50	5.4k 2.1×	1.1k 1.3×	1.4k 1.6×	951 1.3×	401 0.6×	163	9.1k
Xiao-Fan Wang United States	30	3.9k 1.5×	1.3k 1.5×	567 0.7×	1.9k 2.5×	427 0.6×	43	6.0k
Patrick N. Harter Germany	38	1.9k 0.7×	971 1.1×	962 1.1×	1.2k 1.6×	223 0.3×	181	4.8k

Countries citing papers authored by Wei Keat Lim

Since Specialization

Citations

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

Fields of papers citing papers by Wei Keat Lim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Keat Lim

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

All Works

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20 of 20 papers shown

Halász, Gábor, Jennifer Schmahl, Nicole Negron, et al.. (2025). Optimized murine sample sizes for RNA sequencing studies revealed from large scale comparative analysis. Nature Communications. 16(1). 10173–10173. 1 indexed citations

Wipperman, Matthew F., Kaitlyn Gayvert, Amanda Atanasio, et al.. (2024). Differential modulation of allergic rhinitis nasal transcriptome by dupilumab and allergy immunotherapy. Allergy. 79(4). 894–907. 12 indexed citations

Kim, Hyunjin, Wei Keat Lim, Christina Adler, et al.. (2024). Peripheral human red blood cell development in human immune system mouse model with heme oxygenase-1 deficiency. Blood Advances. 8(23). 5975–5987.

Srivatsan, Subhashini, Kirsten Nagashima, Wei Keat Lim, et al.. (2023). IL-4 And IL-13 Have Distinct And Overlapping Effects On Key Cell Types Involved In The Pathobiology Of Atopic Dermatitis. Journal of Allergy and Clinical Immunology. 151(2). AB149–AB149. 2 indexed citations

Srivatsan, Subhashini, Seblewongel Asrat, Kirsten Nagashima, et al.. (2023). Interleukin-33 (IL-33) Drives Type 1 and Type 2 Inflammation and Instructs Airway Remodeling. A4473–A4473.

Gayvert, Kaitlyn, Sheldon McKay, Wei Keat Lim, et al.. (2023). Evolutionary trajectory of SARS-CoV-2 genome shifts during widespread vaccination and emergence of Omicron variant. PubMed. 1(1). 5–5. 7 indexed citations

Dhanik, Ankur, Wei Keat Lim, Christina Adler, et al.. (2023). Spontaneous tumor regression mediated by human T cells in a humanized immune system mouse model. Communications Biology. 6(1). 444–444. 3 indexed citations

Asrat, Seblewongel, Joseph C. Devlin, Andrea Vecchione, et al.. (2023). TRAPnSeq allows high-throughput profiling of antigen-specific antibody-secreting cells. Cell Reports Methods. 3(7). 100522–100522. 7 indexed citations

Wang, Claire Q., Sokol Haxhinasto, Sandra Garcet, et al.. (2022). Comparison of the Inflammatory Circuits in Psoriasis Vulgaris, Non‒Pustular Palmoplantar Psoriasis, and Palmoplantar Pustular Psoriasis. Journal of Investigative Dermatology. 143(1). 87–97.e14. 12 indexed citations

10.

Scott, George, Seblewongel Asrat, Jeanne Allinne, et al.. (2022). IL-4 and IL-13, not eosinophils, drive type 2 airway inflammation, remodeling and lung function decline. Cytokine. 162. 156091–156091. 54 indexed citations

11.

Zhang, Ruoyu, Gurinder S. Atwal, & Wei Keat Lim. (2021). Noise regularization removes correlation artifacts in single-cell RNA-seq data preprocessing. Patterns. 2(3). 100211–100211. 8 indexed citations

12.

Panea, Casandra, Ruoyu Zhang, Min Ni, et al.. (2021). Butyrophilin-like 2 regulates site-specific adaptations of intestinal γδ intraepithelial lymphocytes. Communications Biology. 4(1). 913–913. 2 indexed citations

13.

Allinne, Jeanne, George Scott, Wei Keat Lim, et al.. (2019). IL-33 blockade affects mediators of persistence and exacerbation in a model of chronic airway inflammation. Journal of Allergy and Clinical Immunology. 144(6). 1624–1637.e10. 87 indexed citations

14.

Basso, Katia, Lara Mussolin, Antonella Lettieri, et al.. (2011). T‐cell lymphoblastic lymphoma shows differences and similarities with T‐cell acute lymphoblastic leukemia by genomic and gene expression analyses. Genes Chromosomes and Cancer. 50(12). 1063–1075. 32 indexed citations

15.

Cadeiras, Martín, Khurram Shahzad, F. Latif, et al.. (2010). Drawing networks of rejection - a systems biological approach to the identification of candidate genes in heart transplantation. Journal of Cellular and Molecular Medicine. 15(4). 949–956. 8 indexed citations

16.

Lefèbvre, Céline, Presha Rajbhandari, Mariano J. Alvarez, et al.. (2010). A human B‐cell interactome identifies MYB and FOXM1 as master regulators of proliferation in germinal centers. Molecular Systems Biology. 6(1). 377–377. 260 indexed citations

17.

Carro, Maria Stella, Wei Keat Lim, Mariano J. Alvarez, et al.. (2009). The transcriptional network for mesenchymal transformation of brain tumours. Nature. 463(7279). 318–325. 919 indexed citations breakdown →

18.

Wang, Kai, Masumichi Saito, Brygida Bisikirska, et al.. (2009). Genome-wide identification of post-translational modulators of transcription factor activity in human B cells. Nature Biotechnology. 27(9). 829–837. 181 indexed citations

19.

Compagno, Mara, Wei Keat Lim, Adina Grunn, et al.. (2009). Mutations of multiple genes cause deregulation of NF-κB in diffuse large B-cell lymphoma. Nature. 459(7247). 717–721. 795 indexed citations breakdown →

20.

Palomero, Teresa, Wei Keat Lim, Duncan T. Odom, et al.. (2006). NOTCH1 directly regulates c-MYC and activates a feed-forward-loop transcriptional network promoting leukemic cell growth. Proceedings of the National Academy of Sciences. 103(48). 18261–18266. 639 indexed citations breakdown →

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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