Stephen Noell

5 papers receiving 264 citations

Stephen Noell's Hit Papers

Structural basis for the in vitro efficacy of nirmatrelvir against SARS-CoV-2 variants 2022 · 120 citations
1200+1+2Years since publication4080120

Peers

Stephen Noell
Comparison fields: 5 of 58
  • Infectious Diseases 83
  • Computational Theory and Mathematics 76
  • Spectroscopy 55
  • Organic Chemistry 61
  • Molecular Biology 97
Replace Archie C. Reyes with:
Archie C. Reyes United States
Johayra Simithy United States
Giampiero Colombano Italy
Gurubasavaraj V. Pujar India
Yulong Shi China
David Schaller Germany
John Sherrill United States
Sabine Schultes Austria
Olivier Pamlard France
Giovanni Bolcato Italy
Stephen Noell relative to Archie C. Reyes United States Archie C. Reyes's profile →
Citations per field
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Archie C. Reyes · 1×
Citations per year

Countries citing papers authored by Stephen Noell

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Noell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Noell. 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 Stephen Noell. The network helps show where Stephen Noell may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen Noell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Noell Line = papers co-authored together Stephen Noell links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Structural basis for the in vitro efficacy of nirmatrelvir against SARS-CoV-2 variants
Hit paper breakdown →
2022120
2 202176
3 201253
4 201716
5 201511

About Stephen Noell

Stephen Noell is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Organic Chemistry and Genetics, having authored 5 papers that have together received 276 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Carbohydrate Chemistry and Synthesis (1 paper), Cellular transport and secretion (1 paper), Mass Spectrometry Techniques and Applications (1 paper), SARS-CoV-2 detection and testing (1 paper), Neurogenetic and Muscular Disorders Research (1 paper), Analytical Chemistry and Chromatography (1 paper) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). The work is most often cited by research in Infectious Diseases (83 citations), Computational Theory and Mathematics (76 citations), Spectroscopy (55 citations), Organic Chemistry (61 citations) and Molecular Biology (97 citations). Stephen Noell has collaborated with scholars based in United States. Frequent co-authors include Claire M. Steppan, Ben Bolaños, Olga Plotnikova, Timothy K. Craig, Kimberly F. Fennell, Rose Ann Ferre, Al Stewart, S.E. Greasley, Sammy S. Datwani and Hui Zhang. Their work appears in journals such as Journal of Medicinal Chemistry, Analytical Chemistry, Journal of Biological Chemistry and PLoS ONE.

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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