Wei Keat Lim
- Molecular Biology top 2%
- Cancer Research top 2%
- Immunology top 5%
- Oncology top 5%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Andrea CalifanoKai WangRiccardo Dalla‐FaveraAdam A. MargolinMariano J. AlvarezAnna LasorellaAntonio IavaroneMaria Stella Carro
- Topics
- Bioinformatics and Genomic Networks (9 papers)IL-33, ST2, and ILC Pathways (8 papers)Eosinophilic Esophagitis (6 papers)
- Cited by
- GeneticsCancer ResearchImmunology
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Wei Keat Lim
41 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 2.5k
- Cancer Research 854
- Immunology 838
- Oncology 753
- Pathology and Forensic Medicine 671
Countries citing papers authored by Wei Keat Lim
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 12 | |
| 10 | 54 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 87 | |
| 14 | 32 | |
| 15 | 8 | |
| 16 | 260 | |
| 17 | The transcriptional network for mesenchymal transformation of brain tumoursbreakdown → | 919 |
| 18 | 181 | |
| 19 | Mutations of multiple genes cause deregulation of NF-κB in diffuse large B-cell lymphomabreakdown → | 795 |
| 20 | NOTCH1 directly regulates c-MYC and activates a feed-forward-loop transcriptional network promoting leukemic cell growthbreakdown → | 639 |
About Wei Keat Lim
Wei Keat Lim is a scholar working on Immunology, Immunology and Allergy and Dermatology, having authored 43 papers that have together received 4.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), IL-33, ST2, and ILC Pathways (8 papers) and Eosinophilic Esophagitis (6 papers). The work is most often cited by research in Genetics (624 citations), Cancer Research (854 citations) and Immunology (838 citations). Wei Keat Lim has collaborated with scholars based in United States, Singapore and Canada. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.