Jenny G. Low

13.9k total citations · 2 hit papers
130 papers, 5.5k citations indexed

About

Jenny G. Low is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Jenny G. Low has authored 130 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Infectious Diseases, 44 papers in Public Health, Environmental and Occupational Health and 39 papers in Epidemiology. Recurrent topics in Jenny G. Low's work include Mosquito-borne diseases and control (41 papers), Viral Infections and Vectors (37 papers) and COVID-19 Clinical Research Studies (25 papers). Jenny G. Low is often cited by papers focused on Mosquito-borne diseases and control (41 papers), Viral Infections and Vectors (37 papers) and COVID-19 Clinical Research Studies (25 papers). Jenny G. Low collaborates with scholars based in Singapore, United States and United Kingdom. Jenny G. Low's 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 and has published in prestigious journals such as Nature, New England Journal of Medicine and The Lancet.

In The Last Decade

Jenny G. Low

125 papers receiving 5.4k citations

Hit Papers

SARS-CoV-2-specific T cell immunity in cases of COVID-19 ... 2020 2026 2022 2024 2020 2021 400 800 1.2k

Peers

Jenny G. Low
Comparison fields: 5 of 157
  • Infectious Diseases 3.7k
  • Public Health, Environmental and Occupational Health 1.4k
  • Molecular Biology 862
  • Immunology 769
  • Epidemiology 717
Replace Dana Scott with:
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Jian‐Piao Cai China
Emanuele Nicastri Italy
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Wan Beom Park South Korea
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Dana Scott United States View profile →
Citations per field, relative to Jenny G. Low
Jenny G. Low · 1×
Citations per year, relative to Jenny G. Low
Jenny G. Low · 1×

Countries citing papers authored by Jenny G. Low

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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 patients breakdown →
440
14 72
15 25
16 32
17 17
18 68
19 76
20 79

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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