Leng-Siew Yeap
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Molecular Biology top 10%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Renal and related cancers
- Genomics and Chromatin Dynamics
Papers in
- Immunology 11
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 4
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- CRISPR and Genetic Engineering 6
- DNA Repair Mechanisms 2
- Pluripotent Stem Cells Research 2
- Co-authors
- Huck‐Hui Ng (1 shared paper)Pin Li (1 shared paper)Wai Leong Tam (1 shared paper)Paul Robson (1 shared paper)Yuin‐Han Loh (1 shared paper)Wensheng Zhang (1 shared paper)Xi Chen (1 shared paper)Bing Lim (1 shared paper)
- Journals
- Cell Research (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)The Journal of Experimental Medicine (1 paper)Nature (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Leng-Siew Yeap
15 papers receiving 1.1k citations
Leng-Siew Yeap's Hit Papers
Peers
Comparison fields: 5 of 72
- Immunology 270
- Molecular Biology 842
- Genetics 107
- Aging 16
- Oncology 135
Countries citing papers authored by Leng-Siew Yeap
This map shows the geographic impact of Leng-Siew Yeap'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 Leng-Siew Yeap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leng-Siew Yeap more than expected).
Fields of papers citing papers by Leng-Siew Yeap
This network shows the impact of papers produced by Leng-Siew Yeap. 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 Leng-Siew Yeap. The network helps show where Leng-Siew Yeap may publish in the future.
Co-authors
The 25 scholars most cited alongside Leng-Siew Yeap, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Reciprocal Transcriptional Regulation of Pou5f1 and Sox2 via the Oct4/Sox2 Complex in Embryonic Stem Cells Hit paper breakdown → | 2005 | 534 |
| 2 | 2015 | 115 | |
| 3 | 2009 | 102 | |
| 4 | 2017 | 92 | |
| 5 | 2015 | 75 | |
| 6 | 2020 | 43 | |
| 7 | 2018 | 27 | |
| 8 | 2017 | 27 | |
| 9 | 2019 | 26 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2023 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 |
About Leng-Siew Yeap
Leng-Siew Yeap is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Genetics, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), CRISPR and Genetic Engineering (6 papers), Immune Cell Function and Interaction (4 papers), Chronic Lymphocytic Leukemia Research (2 papers), DNA Repair Mechanisms (2 papers), CAR-T cell therapy research (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Immunology (270 citations), Molecular Biology (842 citations), Genetics (107 citations), Aging (16 citations) and Oncology (135 citations). Leng-Siew Yeap has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Huck‐Hui Ng, Pin Li, Wai Leong Tam, Paul Robson, Yuin‐Han Loh, Wensheng Zhang, Xi Chen, Bing Lim, Yen-Sin Ang and Fei‐Long Meng. Their work appears in journals such as Cell Research, Nature Communications, Cell Reports, The Journal of Experimental Medicine and Nature.
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.