Wade Blair

4.1k citations
45 papers · 2.2k · h-index 26

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV/AIDS drug development and treatment 17
    • Viral gastroenteritis research and epidemiology 6
    • HIV/AIDS Research and Interventions 5
    • HIV Research and Treatment 23

Wade Blair

44 papers receiving 2.1k citations

Peers

Wade Blair
Comparison fields: 5 of 79
  • Virology 992
  • Infectious Diseases 990
  • Immunology 376
  • Epidemiology 417
  • Hepatology 95
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Citations per field
00.5×4.0×
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Citations per year

Countries citing papers authored by Wade Blair

Since Specialization
Citations

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

Fields of papers citing papers by Wade Blair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003287
2 2010242
3 2014228
4 2000141
5 199495
6 201668
7 201267
8 200058
9 199352
10 199652
11 200951
12 201751
13 201447
14 199147
15 199845
16 199743
17 200940
18
Utilization of a mammalian cell-based RNA binding assay to characterize the RNA binding properties of picornavirus 3C proteinases.
199840
19 200935
20 199635

About Wade Blair

Wade Blair is a scholar working on Infectious Diseases, Virology, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (23 papers), HIV/AIDS drug development and treatment (17 papers), Viral Infections and Immunology Research (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Hepatitis C virus research (6 papers), Virus-based gene therapy research (6 papers), RNA Interference and Gene Delivery (5 papers) and HIV/AIDS Research and Interventions (5 papers). The work is most often cited by research in Virology (992 citations), Infectious Diseases (990 citations), Immunology (376 citations), Epidemiology (417 citations) and Hepatology (95 citations). Wade Blair has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Bryan R. Cullen, Bert L. Semler, Hal P. Bogerd, Robert A. Fridell, Nicholas A. Meanwell, Pin‐Fang Lin, Steven J. Madore, Jason Isaacson, Joan Cao and Amy K. Patick. Their work appears in journals such as Journal of Virology, Antimicrobial Agents and Chemotherapy, Bioorganic & Medicinal Chemistry Letters, Antiviral Research and Molecular and Cellular 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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