Daniel E. McCallus

1.2k citations
18 papers · 966 indexed · h-index 15

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immunotherapy and Immune Responses 7
    • RNA Interference and Gene Delivery 3
    • vaccines and immunoinformatics approaches 3
    • Glycosylation and Glycoproteins Research 2

Daniel E. McCallus

18 papers receiving 920 citations

Peers

Daniel E. McCallus
Comparison fields: 5 of 74
  • Virology 309
  • Immunology 443
  • Biotechnology 67
  • Endocrinology 37
  • Infectious Diseases 128
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Citations per field
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Citations per year

Countries citing papers authored by Daniel E. McCallus

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. McCallus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. McCallus. 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 Daniel E. McCallus. The network helps show where Daniel E. McCallus may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1997300
2 2002102
3 199591
4 199885
5 199981
6 199450
7 199242
8 201335
9 200630
10 198729
11 199725
12 199625
13 199515
14
Engineering of DNA vaccines using molecular adjuvant plasmids.
200015
15 199514
16 199412
17 19928
18 19887

About Daniel E. McCallus

Daniel E. McCallus is a scholar working on Immunology, Molecular Biology, Virology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 18 papers that have together received 966 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), HIV Research and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), RNA Interference and Gene Delivery (3 papers), vaccines and immunoinformatics approaches (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Virology (309 citations), Immunology (443 citations), Biotechnology (67 citations), Endocrinology (37 citations) and Infectious Diseases (128 citations). Daniel E. McCallus has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Ching-Hsing Liao, David B. Weiner, William V. Williams, Kenneth E. Ugen, Michael G. Agadjanyan, David J. Shuey, Tony Giordano, Jean Boyer, Leslie R. Coney and Lori Gilbert. Their work appears in journals such as Canadian Journal of Microbiology, Nature Medicine, Infection and Immunity, Vaccine and Drug Discovery Today.

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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