Don C. Wiley

48.6k citations
174 papers · 39.0k indexed · 18 hit papers · h-index 89

Don C. Wiley

173 papers receiving 37.7k citations

Hit Papers

Receptor Binding and Membrane Fusion in Virus Entr...2.2k198120261996201150010001.5k2.0k2.5k

Peers

Don C. Wiley
Comparison fields: 5 of 149
  • Virology 4.2k
  • Immunology 18.1k
  • Epidemiology 13.8k
  • Radiology, Nuclear Medicine and Imaging 7.2k
  • Infectious Diseases 5.1k
Replace J.J. Skehel with:
J.J. Skehel United States
Rolf M. Zinkernagel Switzerland
Hilary Koprowski United States
Richard W. Compans United States
Gary J. Nabel United States
James C. Paulson United States
Peter C. Doherty United States
Jonathan W. Yewdell United States
John Sidney United States
Rafi Ahmed United States
Don C. Wiley relative to J.J. Skehel United States J.J. Skehel's profile →
Citations per field
00.5×2.5×
J.J. Skehel · 1×
Citations per year

Countries citing papers authored by Don C. Wiley

Since Specialization
Citations

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

Fields of papers citing papers by Don C. Wiley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Don C. Wiley. 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 Don C. Wiley. The network helps show where Don C. Wiley may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200455
2 2003120
3 200174
4 2001190
5 2001322
6 2000150
7 200031
8 200092
9 1999320
10 199914
11 199772
12 1996107
13 199516
14 19944
15 199429
16
Three-dimensional structure of the human class II histocompatibility antigen HLA-DR1breakdown →
19931930
17 1992209
18 199117
19
The foreign antigen binding site and T cell recognition regions of class I histocompatibility antigensbreakdown →
19871894
20
THE STRUCTURE OF ACUMYCIN: A 16-MEMBERED RING MACROLIDE ANTIBIOTIC
19816

About Don C. Wiley

Don C. Wiley is a scholar working on Virology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 174 papers that have together received 39.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (62 papers), T-cell and B-cell Immunology (52 papers), Influenza Virus Research Studies (46 papers), Immunotherapy and Immune Responses (42 papers), Immune Cell Function and Interaction (42 papers), Glycosylation and Glycoproteins Research (24 papers), HIV Research and Treatment (17 papers) and Diabetes and associated disorders (15 papers). The work is most often cited by research in Virology (4.2k citations), Immunology (18.1k citations) and Epidemiology (13.8k citations). Don C. Wiley has collaborated with scholars based in United States, United Kingdom and Tanzania. Frequent co-authors include J.J. Skehel, Jack L. Strominger, Pamela J. Björkman, Mark A. Saper, Ian A. Wilson, Boudjéma Samraoui, William S. Bennett, Theodore S. Jardetzky, Jerry H. Brown and Lawrence J. Stern. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Virology, The EMBO Journal and Journal of Molecular Biology.

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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