David Sahner

896 citations
11 papers · 297 · h-index 7

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment

Papers in

    • HIV/AIDS Research and Interventions 1
    • COVID-19 Clinical Research Studies 1
    • HIV/AIDS drug development and treatment 1
    • Antifungal resistance and susceptibility 1
    • HIV Research and Treatment 3

David Sahner

10 papers receiving 285 citations

Peers

David Sahner
Comparison fields: 5 of 43
  • Virology 183
  • Infectious Diseases 92
  • Immunology 88
  • Emergency Medicine 30
  • Hepatology 15
Replace Yanina Ghiglione with:
Yanina Ghiglione Argentina
Qingxia Zhao China
Asma Essat France
António Pires United Kingdom
Eulàlia Grau Spain
Heather A. Pilch-Cooper United States
Panita Pathipvanich Thailand
Erin Stuelke United States
Jean Pierre Routy Canada
Siriwat Akapirat Thailand
David Sahner relative to Yanina Ghiglione Argentina Yanina Ghiglione's profile →
Citations per field
00.5×1.5×1.9×
Yanina Ghiglione · 1×
Citations per year

Countries citing papers authored by David Sahner

Since Specialization
Citations

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

Fields of papers citing papers by David Sahner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Sahner, 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 David Sahner Line = papers co-authored together David Sahner links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2000143
2 200660
3 200347
4 202212
5 202310
6 20249
7 20087
8 20236
9 20072
10 20251
11 20250

About David Sahner

David Sahner is a scholar working on Infectious Diseases, Virology, Molecular Biology, Surgery and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 297 indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), HIV/AIDS Research and Interventions (1 paper), COVID-19 Clinical Research Studies (1 paper), HIV/AIDS drug development and treatment (1 paper), Pharmacological Receptor Mechanisms and Effects (1 paper), Antifungal resistance and susceptibility (1 paper), Inhalation and Respiratory Drug Delivery (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Virology (183 citations), Infectious Diseases (92 citations), Immunology (88 citations), Emergency Medicine (30 citations) and Hepatology (15 citations). David Sahner has collaborated with scholars based in United States, Italy and Puerto Rico. Frequent co-authors include Martin Giedlin, William B. Capra, Jeffrey P. Nadler, Robert L. Murphy, Robin Dewar, Andrew T. Pavia, James O. Kahn, Doreen Chaitt, Richard T. Davey and H. Clifford Lane. Their work appears in journals such as The Journal of Infectious Diseases, Computational and Structural Biotechnology Journal, Clinical Infectious Diseases, Journal of Pain and Diabetes Research and Clinical Practice.

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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