Katharine S. Tuttle

1.4k citations
9 papers · 850 indexed · 1 hit paper · h-index 9
Topics
SARS-CoV-2 and COVID-19 Research (5 papers)SARS-CoV-2 detection and testing (3 papers)COVID-19 Clinical Research Studies (2 papers)
Partner nations
CanadaUnited StatesChina

In The Last Decade

Katharine S. Tuttle

9 papers receiving 842 citations

Hit Papers

SARS-CoV-2 Omicron variant: Antibody evasion and cryo-EM ...20222026202320242022100200300400

Peers

Katharine S. Tuttle
Comparison fields: 5 of 84
  • Infectious Diseases 619
  • Molecular Biology 343
  • Computational Theory and Mathematics 109
  • Radiology, Nuclear Medicine and Imaging 98
  • Animal Science and Zoology 79
Replace Dhiraj Mannar with:
Dhiraj Mannar Canada
Alison Berezuk Canada
Shanti Swaroop Srivastava India
Pengqi Xu Netherlands
Brandon Malone United States
Pedro Serrano United States
Zhaoxia Huang China
Xiaojun Huang China
Neha Vithani India
Hanna Kratzat Germany
Katharine S. Tuttle relative to Dhiraj Mannar Canada Dhiraj Mannar's profile →
Citations per field
00.5×1.5×
Dhiraj Mannar · 1×
Citations per year

Countries citing papers authored by Katharine S. Tuttle

Since Specialization
Citations

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

Fields of papers citing papers by Katharine S. Tuttle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharine S. Tuttle

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 12
2
SARS-CoV-2 Omicron variant: Antibody evasion and cryo-EM structure of spike protein–ACE2 complexbreakdown →
408
3 38
4 63
5 135
6 62
7 14
8 38
9 80

About Katharine S. Tuttle

Katharine S. Tuttle is a scholar working on Infectious Diseases, Physiology and Molecular Biology, having authored 9 papers that have together received 850 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), SARS-CoV-2 detection and testing (3 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (619 citations), Structural Biology (12 citations) and Animal Science and Zoology (79 citations). Katharine S. Tuttle has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Sriram Subramaniam, Xing Zhu, Alison Berezuk, James W. Saville, Dhiraj Mannar, Shanti Swaroop Srivastava, Inna Sekirov, Ana Márquez, Steven Zhou and Dimiter S. Dimitrov. Their work appears in journals such as Science, Journal of Biological Chemistry 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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