Daniel E. McCallus

1.2k total citations
18 papers, 966 citations indexed

About

Daniel E. McCallus is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Daniel E. McCallus has authored 18 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Molecular Biology and 6 papers in Virology. Recurrent topics in Daniel E. McCallus's work include Immunotherapy and Immune Responses (7 papers), HIV Research and Treatment (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Daniel E. McCallus is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), HIV Research and Treatment (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Daniel E. McCallus collaborates with scholars based in United States, Switzerland and Australia. Daniel E. McCallus's co-authors include Ching-Hsing Liao, David B. Weiner, William V. Williams, Kenneth E. Ugen, Michael G. Agadjanyan, Tony Giordano, David J. Shuey, Jean Boyer, Leslie R. Coney and Lori Gilbert and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Applied and Environmental Microbiology.

In The Last Decade

Daniel E. McCallus

18 papers receiving 920 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel E. McCallus United States 15 443 435 309 199 128 18 966
Gregory J. Tobin United States 21 346 0.8× 517 1.2× 253 0.8× 324 1.6× 226 1.8× 49 1.3k
Jan zur Megede United States 19 557 1.3× 377 0.9× 587 1.9× 302 1.5× 359 2.8× 32 1.1k
Barbara Doe United States 15 823 1.9× 627 1.4× 316 1.0× 277 1.4× 286 2.2× 25 1.4k
Lizhong Luo Canada 13 166 0.4× 274 0.6× 341 1.1× 218 1.1× 251 2.0× 24 710
Timothy Lockey United States 21 964 2.2× 595 1.4× 327 1.1× 150 0.8× 153 1.2× 47 1.6k
B Wang United States 8 630 1.4× 398 0.9× 282 0.9× 265 1.3× 185 1.4× 8 1.0k
K Okuda Japan 24 862 1.9× 642 1.5× 279 0.9× 261 1.3× 179 1.4× 66 1.7k
Jens Wild Germany 16 404 0.9× 297 0.7× 184 0.6× 288 1.4× 99 0.8× 29 785
D Schmitt France 20 413 0.9× 487 1.1× 681 2.2× 394 2.0× 325 2.5× 55 1.5k
Minchao Chen United States 7 645 1.5× 507 1.2× 198 0.6× 210 1.1× 266 2.1× 9 1.1k

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-authorship network of co-authors of Daniel E. McCallus

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. McCallus. A scholar is included among the top collaborators of Daniel E. McCallus based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel E. McCallus. Daniel E. McCallus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Berger, Melvin, Daniel E. McCallus, & Cindy Lin. (2013). Rapid and reversible responses to IVIG in autoimmune neuromuscular diseases suggest mechanisms of action involving competition with functionally important autoantibodies. Journal of the Peripheral Nervous System. 18(4). 275–296. 35 indexed citations
2.
McCallus, Daniel E., et al.. (2006). RNA interference-mediated prevention and therapy for hepatocellular carcinoma. Oncogene. 25(27). 3857–3865. 30 indexed citations
3.
Shuey, David J., Daniel E. McCallus, & Tony Giordano. (2002). RNAi: gene-silencing in therapeutic intervention. Drug Discovery Today. 7(20). 1040–1046. 102 indexed citations
4.
Sin, Jeong‐Im, J Kim, Michael A. Chattergoon, et al.. (2000). Engineering of DNA vaccines using molecular adjuvant plasmids.. PubMed. 104. 187–98. 15 indexed citations
5.
Sin, Jeong‐Im, Kesen Dang, Junghwan Oh, et al.. (1999). Cytokine Molecular Adjuvants Modulate Immune Responses Induced by DNA Vaccine Constructs for HIV-1 and SIV. Journal of Interferon & Cytokine Research. 19(1). 77–84. 81 indexed citations
6.
Liao, Ching-Hsing & Daniel E. McCallus. (1998). Biochemical and Genetic Characterization of an Extracellular Protease from Pseudomonas fluorescens CY091. Applied and Environmental Microbiology. 64(3). 914–921. 85 indexed citations
7.
Liao, Ching-Hsing, et al.. (1997). Identification of gene loci controlling pectate lyase production and soft-rot pathogenicity in Pseudomonas marginalis. Canadian Journal of Microbiology. 43(5). 425–431. 25 indexed citations
8.
Boyer, Jean, Kenneth E. Ugen, Bin Wang, et al.. (1997). Protection of chimpanzees from high-dose heterologous HIV-1 challenge by DNA vaccination. Nature Medicine. 3(5). 526–532. 300 indexed citations
10.
Wang, Bin, Jean Boyer, Vasantha Srikantan, et al.. (1995). Induction of Humoral and Cellular Immune Responses to the Human Immunodeficiency Type 1 Virus in Nonhuman Primates by in Vivo DNA Inoculation. Virology. 211(1). 102–112. 91 indexed citations
11.
Monfardini, Cristina, Thomas Kieber‐Emmons, H. Rosenbaum, et al.. (1995). Recombinant Antibodies in Bioactive Peptide Design. Journal of Biological Chemistry. 270(12). 6628–6638. 14 indexed citations
12.
Wang, Bin, Jean Boyer, Vasantha Srikantan, et al.. (1995). DNA Inoculation Induces Cross Clade Anti‐HIV‐1 Responses. Annals of the New York Academy of Sciences. 772(1). 186–197. 15 indexed citations
13.
Coney, Leslie R., Kenneth E. Ugen, Jean Boyer, et al.. (1994). Facilitated DNA inoculation induces anti-HIV-1 immunity in vivo. Vaccine. 12(16). 1545–1550. 50 indexed citations
14.
Kieber‐Emmons, Thomas, Joan M. Von Feldt, Daniel E. McCallus, et al.. (1994). Isolated VH4 Heavy Chain Variable Regions Bind DNA Characterization of a Recombinant Antibody Heavy Chain Library Derived from Patient(s) with Active SLE. Lupus. 3(5). 379–392. 12 indexed citations
15.
McCallus, Daniel E., Kenneth E. Ugen, Alice I. Sato, William V. Williams, & David B. Weiner. (1992). Construction of a Recombinant Bacterial Human CD4 Expression System Producing a Bioactive CD4 Molecule. Viral Immunology. 5(2). 163–172. 42 indexed citations
16.
Ugen, Kenneth E., Daniel E. McCallus, Joan M. Von Feldt, et al.. (1992). Ocular tissue involvement in HIV infection: Immunological and pathological aspects. Immunologic Research. 11(2). 141–153. 8 indexed citations
17.
McCallus, Daniel E., et al.. (1988). Development and evaluation of an enzyme-linked immunosorbent assay for endotoxin in milk. Veterinary Microbiology. 18(1). 27–39. 7 indexed citations
18.
McCallus, Daniel E. & N. L. Norcross. (1987). Antibody specific for Escherichia coli J5 cross-reacts to various degrees with an Escherichia coli clinical isolate grown for different lengths of time. Infection and Immunity. 55(5). 1042–1046. 29 indexed citations

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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