Beth Sage

8 papers receiving 1.3k citations

Beth Sage's Hit Papers

Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease 2024 · 65 citations
650+1+3Years since publication100200300400

Peers

Beth Sage
Comparison fields: 5 of 103
  • Infectious Diseases 577
  • Applied Microbiology and Biotechnology 45
  • Insect Science 212
  • Internal Medicine 56
  • Cellular and Molecular Neuroscience 294
Replace Valéria Marini with:
Valéria Marini Italy
Daniel Augusto de Toledo-Teixeira Brazil
Nick A. Ciccone United Kingdom
Mustafa Idris Elbashir Sudan
Clementina Maria Galluzzo Italy
Yvonne Fitz United States
Sisi Huang China
Alan H. Reynolds United Kingdom
Rustom S. Wadia India
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Citations per year

Countries citing papers authored by Beth Sage

Since Specialization
Citations

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

Fields of papers citing papers by Beth Sage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Beth Sage, 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 Beth Sage Line = papers co-authored together Beth Sage links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Azithromycin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021403
2 1975372
3
Casirivimab and imdevimab in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2022282
4
Aspirin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
Hit paper breakdown →
2021211
5
Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease
Hit paper breakdown →
202465
6 202217
7 20092
8 20191
9 20260

About Beth Sage

Beth Sage is a scholar working on Infectious Diseases, Neurology, Emergency Medicine, Rheumatology and Neurology, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (1 paper), Insect Resistance and Genetics (1 paper), COVID-19 Clinical Research Studies (1 paper), Insect and Arachnid Ecology and Behavior (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Eosinophilic Disorders and Syndromes (1 paper), Infectious Diseases and Tuberculosis (1 paper) and Emergency and Acute Care Studies (1 paper). The work is most often cited by research in Infectious Diseases (577 citations), Applied Microbiology and Biotechnology (45 citations), Insect Science (212 citations), Internal Medicine (56 citations) and Cellular and Molecular Neuroscience (294 citations). Beth Sage has collaborated with scholars based in United Kingdom, Indonesia and Nepal. Frequent co-authors include Mathias Fuchs, Dorothy A. Schlaeger, Henry H. Hagedorn, John D. O’Connor, Robert T. Miller and Eui‐Sik Suh. Their work appears in journals such as The Lancet, Nature Immunology, Cytotherapy, The Lancet Respiratory Medicine and Proceedings of the National Academy of Sciences.

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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