Gina S. Lee

1.2k citations
14 papers · 547 indexed · 1 hit paper · h-index 9
Topics
SARS-CoV-2 and COVID-19 Research (9 papers)Vaccine Coverage and Hesitancy (8 papers)COVID-19 Clinical Research Studies (5 papers)
Partner nations
United StatesFrance

In The Last Decade

Gina S. Lee

12 papers receiving 540 citations

Hit Papers

Effectiveness of mRNA-1273 against SARS-CoV-2 Omicron and...20222026202320242022100200300

Peers

Gina S. Lee
Comparison fields: 5 of 57
  • Infectious Diseases 491
  • Health 190
  • Molecular Biology 86
  • Modeling and Simulation 76
  • Animal Science and Zoology 64
Replace Michael Aragones with:
Michael Aragones United States
Sandra Hauka Germany
Ying Chang United States
Dennis Schaefer-Babajew United States
Lara Walotka Germany
Leo C. H. Tsang Hong Kong
Adam Brosz United States
Yotam Shenhar Israel
Gina S. Lee relative to Michael Aragones United States Michael Aragones's profile →
Citations per field
00.5×
Michael Aragones · 1×
Citations per year

Countries citing papers authored by Gina S. Lee

Since Specialization
Citations

This map shows the geographic impact of Gina S. Lee'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 Gina S. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina S. Lee more than expected).

Fields of papers citing papers by Gina S. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gina S. Lee. 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 Gina S. Lee. The network helps show where Gina S. Lee may publish in the future.

Co-authorship network of co-authors of Gina S. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Gina S. Lee. A scholar is included among the top collaborators of Gina S. Lee 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 Gina S. Lee. Gina S. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 10
6 47
7 4
8 9
9 36
10
Effectiveness of mRNA-1273 against SARS-CoV-2 Omicron and Delta variantsbreakdown →
315
11 17
12 12
13 64
14 29

About Gina S. Lee

Gina S. Lee is a scholar working on Health, Infectious Diseases and Animal Science and Zoology, having authored 14 papers that have together received 547 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Vaccine Coverage and Hesitancy (8 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Infectious Diseases (491 citations), Health (190 citations) and Modeling and Simulation (76 citations). Gina S. Lee has collaborated with scholars based in United States and France. Frequent co-authors include Julia E. Tubert, Bradley K. Ackerson, Carla Talarico, Katia Bruxvoort, Ana Florea, Yi Luo, Lei Qian, Lina S. Sy, Hung Fu Tseng and Harpreet S. Takhar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine 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.

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