Woon‐Kai Low
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 3
- Chemical Synthesis and Analysis 2
- Biochemical and Molecular Research 2
- Signaling Pathways in Disease 2
- Biotechnology top 10%
- Aquatic Science top 10%
-
- Physiological and biochemical adaptations 3
-
- Meat and Animal Product Quality 3
-
- Toxin Mechanisms and Immunotoxins 2
-
- Neurobiology and Insect Physiology Research 2
- Co-authors
- Jun O. LiuYongjun DangDaniel RomoShridhar BhatArnold L. DemainJames A. GoodrichQingli HeJennifer F. Kugel
- Journals
- Journal of Biological Chemistry (5 papers)Pharmaceutical Research (1 paper)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesCanadaSingapore
In The Last Decade
Woon‐Kai Low
15 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Complementary and alternative medicine 156
- Molecular Biology 852
- Biotechnology 49
- Aquatic Science 36
- Aging 8
Countries citing papers authored by Woon‐Kai Low
This map shows the geographic impact of Woon‐Kai Low'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 Woon‐Kai Low with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Woon‐Kai Low more than expected).
Fields of papers citing papers by Woon‐Kai Low
This network shows the impact of papers produced by Woon‐Kai Low. 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 Woon‐Kai Low. The network helps show where Woon‐Kai Low may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Woon‐Kai Low, 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 | 2024 | 1 | |
| 2 | 2020 | 6 | |
| 3 | 2020 | 5 | |
| 4 | 2014 | 53 | |
| 5 | 2012 | 46 | |
| 6 | 2011 | 397 | |
| 7 | 2009 | 54 | |
| 8 | 2007 | 41 | |
| 9 | 2007 | 27 | |
| 10 | 2006 | 222 | |
| 11 | 2006 | 8 | |
| 12 | 2005 | 191 | |
| 13 | 2003 | 4 | |
| 14 | 2001 | 28 | |
| 15 | 1998 | 32 |
About Woon‐Kai Low
Woon‐Kai Low is a scholar working on Animal Science and Zoology, Cellular and Molecular Neuroscience, Oncology, Aquatic Science and Molecular Biology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Physiological and biochemical adaptations (3 papers), Meat and Animal Product Quality (3 papers), Chemical Synthesis and Analysis (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Biochemical and Molecular Research (2 papers), Neurobiology and Insect Physiology Research (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Complementary and alternative medicine (156 citations), Molecular Biology (852 citations), Biotechnology (49 citations), Aquatic Science (36 citations) and Aging (8 citations). Woon‐Kai Low has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Jun O. Liu, Yongjun Dang, Daniel Romo, Shridhar Bhat, Arnold L. Demain, James A. Goodrich, Qingli He, Jennifer F. Kugel, Benjamin Gilman and Paul S. Miller. Their work appears in journals such as Journal of Biological Chemistry, Pharmaceutical Research, European Journal of Medicinal Chemistry, Biochemistry and Cell Biology and Organic Letters.
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.