Daniel E. McCallus
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Virology 6
- HIV Research and Treatment 6
- Immunology 10
- Immunotherapy and Immune Responses 7
- Co-authors
- Ching-Hsing Liao (2 shared papers)David B. Weiner (11 shared papers)William V. Williams (10 shared papers)Kenneth E. Ugen (6 shared papers)Michael G. Agadjanyan (4 shared papers)David J. Shuey (1 shared paper)Tony Giordano (1 shared paper)Jean Boyer (5 shared papers)
- Journals
- Canadian Journal of Microbiology (2 papers)Lupus (1 paper)Infection and Immunity (1 paper)Oncogene (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Daniel E. McCallus
20 papers receiving 976 citations
Peers
Comparison fields: 5 of 77
- Virology 318
- Immunology 460
- Biotechnology 76
- Infectious Diseases 145
- Endocrinology 39
Countries citing papers authored by Daniel E. McCallus
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 315 | |
| 2 | 2002 | 111 | |
| 3 | 1995 | 98 | |
| 4 | 1998 | 94 | |
| 5 | 1999 | 86 | |
| 6 | 1994 | 56 | |
| 7 | 2013 | 42 | |
| 8 | 1992 | 41 | |
| 9 | 1996 | 31 | |
| 10 | 1987 | 31 | |
| 11 | 2006 | 30 | |
| 12 | 1997 | 29 | |
| 13 | 1992 | 18 | |
| 14 | 1995 | 16 | |
| 15 | Engineering of DNA vaccines using molecular adjuvant plasmids. | 2000 | 15 |
| 16 | 1995 | 15 | |
| 17 | 1994 | 13 | |
| 18 | 1988 | 9 | |
| 19 | 1992 | 8 | |
| 20 | 1991 | 1 |
About Daniel E. McCallus
Daniel E. McCallus is a scholar working on Virology, Immunology, Radiology, Nuclear Medicine and Imaging, Microbiology and Biotechnology, having authored 20 papers that have together received 1.1k 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), Glycosylation and Glycoproteins Research (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and Plant Pathogenic Bacteria Studies (2 papers). The work is most often cited by research in Virology (318 citations), Immunology (460 citations), Biotechnology (76 citations), Infectious Diseases (145 citations) and Endocrinology (39 citations). Daniel E. McCallus has collaborated with scholars based in United States, Australia and Switzerland. 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, Lupus, Infection and Immunity, Oncogene 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.