Jenny G. Low
- Infectious Diseases top 0.2%
- Public Health, Environmental and Occupational Health top 1%
- Molecular Biology top 10%
- Immunology top 5%
- Epidemiology top 5%
- Co-authors
- Eng Eong OoiShirin KalimuddinAntonio BertolettiSubhash G. VasudevanAnthony T. TanNina Le BertC ThamLin‐Fa Wang
- Topics
- Mosquito-borne diseases and control (41 papers)Viral Infections and Vectors (37 papers)COVID-19 Clinical Research Studies (25 papers)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Jenny G. Low
125 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Infectious Diseases 3.7k
- Public Health, Environmental and Occupational Health 1.4k
- Molecular Biology 862
- Immunology 769
- Epidemiology 717
Countries citing papers authored by Jenny G. Low
This map shows the geographic impact of Jenny G. 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 Jenny G. Low with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenny G. Low more than expected).
Fields of papers citing papers by Jenny G. Low
This network shows the impact of papers produced by Jenny G. 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 Jenny G. Low. The network helps show where Jenny G. Low may publish in the future.
Co-authorship network of co-authors of Jenny G. Low
This figure shows the co-authorship network connecting the top 25 collaborators of Jenny G. Low. A scholar is included among the top collaborators of Jenny G. Low 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 Jenny G. Low. Jenny G. Low 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 | 3 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 12 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | 72 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 3 | |
| 13 | Early induction of functional SARS-CoV-2-specific T cells associates with rapid viral clearance and mild disease in COVID-19 patientsbreakdown → | 440 |
| 14 | 72 | |
| 15 | 25 | |
| 16 | 32 | |
| 17 | 17 | |
| 18 | 68 | |
| 19 | 76 | |
| 20 | 79 |
About Jenny G. Low
Jenny G. Low is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Microbiology, having authored 130 papers that have together received 5.5k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (41 papers), Viral Infections and Vectors (37 papers) and COVID-19 Clinical Research Studies (25 papers). The work is most often cited by research in Infectious Diseases (3.7k citations), Modeling and Simulation (311 citations) and Virology (244 citations). Jenny G. Low has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Eng Eong Ooi, Shirin Kalimuddin, Antonio Bertoletti, Subhash G. Vasudevan, Anthony T. Tan, Nina Le Bert, C Tham, Lin‐Fa Wang, Kamini Kunasegaran and Adeline Chia. Their work appears in journals such as Nature, New England Journal of Medicine and The Lancet.
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.