David Ryan

3.0k citations
11 papers · 2.5k · 1 hit paper · h-index 11

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Carbohydrate Chemistry and Synthesis

Papers in

David Ryan

11 papers receiving 2.4k citations

David Ryan's Hit Papers

Rational design of potent sialidase-based inhibitors of influenza virus replication 1993 · 1.6k citations
1.6k0+11+22Years since publication50010001.5k

Peers

David Ryan
Comparison fields: 5 of 111
  • Epidemiology 1.5k
  • Organic Chemistry 572
  • Immunology 361
  • Molecular Biology 1.2k
  • Infectious Diseases 285
Replace Betty Jin with:
Betty Jin Australia
Yih‐Shyun E. Cheng Taiwan
Stuart W. Oliver Australia
Joseph Varghese Australia
Rupert J. Russell United Kingdom
Ming S. Chen United States
Apurba K. Bhattacharjee United States
Arianna Loregian Italy
О. И. Киселев Russia
Choung U. Kim United States
David Ryan relative to Betty Jin Australia Betty Jin's profile →
Citations per field
00.5×1.7×
Betty Jin · 1×
Citations per year

Countries citing papers authored by David Ryan

Since Specialization
Citations

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

Fields of papers citing papers by David Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Rational design of potent sialidase-based inhibitors of influenza virus replication
Hit paper breakdown →
19931606
2 1993273
3 1994130
4 200395
5 199586
6 200284
7 200882
8 200873
9 200949
10 200946
11 198914

About David Ryan

David Ryan is a scholar working on Epidemiology, Immunology, Molecular Biology, Agronomy and Crop Science and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 2.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Immune Response and Inflammation (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Animal Disease Management and Epidemiology (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Glycosylation and Glycoproteins Research (1 paper), Protein purification and stability (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Epidemiology (1.5k citations), Organic Chemistry (572 citations), Immunology (361 citations), Molecular Biology (1.2k citations) and Infectious Diseases (285 citations). David Ryan has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Charles R. Penn, Richard C. Bethell, J. M. Cameron, Betty Jin, Michael S. Pegg, Jeffrey C. Dyason, Joseph Varghese, Mark L. Smythe, Mark von Itzstein and Wen‐Yang Wu. Their work appears in journals such as Vaccine, Antimicrobial Agents and Chemotherapy, Journal of Virology, American Journal of Forensic Medicine & Pathology and Nature.

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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