Daniel C. St. Louis

997 total citations
16 papers, 855 citations indexed

About

Daniel C. St. Louis is a scholar working on Immunology, Virology and Epidemiology. According to data from OpenAlex, Daniel C. St. Louis has authored 16 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 11 papers in Virology and 5 papers in Epidemiology. Recurrent topics in Daniel C. St. Louis's work include HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (11 papers) and T-cell and B-cell Immunology (6 papers). Daniel C. St. Louis is often cited by papers focused on HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (11 papers) and T-cell and B-cell Immunology (6 papers). Daniel C. St. Louis collaborates with scholars based in United States and Egypt. Daniel C. St. Louis's co-authors include Carl H. June, Richard G. Carroll, Bruce L. Levine, James L. Riley, O. S. Weislow, Sumesh Kaushal, Donald S. Burke, Kenneth F. Wagner, Douglas L. Mayers and Linda L. Jagodzinski and has published in prestigious journals such as Science, The Journal of Immunology and Journal of Virology.

In The Last Decade

Daniel C. St. Louis

16 papers receiving 836 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 C. St. Louis United States 13 547 400 209 161 158 16 855
Kozo Yokomuro Japan 14 663 1.2× 159 0.4× 185 0.9× 119 0.7× 155 1.0× 56 971
Leigh A. O’Mara United States 10 715 1.3× 168 0.4× 137 0.7× 174 1.1× 227 1.4× 12 916
Yohko Nakagawa Japan 14 647 1.2× 198 0.5× 226 1.1× 101 0.6× 194 1.2× 33 877
Michael J. Fuller United States 12 1.0k 1.9× 131 0.3× 88 0.4× 261 1.6× 212 1.3× 14 1.3k
P T Schellekens Netherlands 10 490 0.9× 211 0.5× 79 0.4× 153 1.0× 52 0.3× 13 712
Rose Parkinson United States 13 461 0.8× 182 0.5× 203 1.0× 142 0.9× 190 1.2× 34 815
Michael I. Zimmer United States 11 571 1.0× 76 0.2× 180 0.9× 87 0.5× 109 0.7× 11 722
Max W. Richardson United States 17 516 0.9× 355 0.9× 244 1.2× 159 1.0× 341 2.2× 24 927
Si‐Hua Mao United States 7 335 0.6× 495 1.2× 279 1.3× 82 0.5× 155 1.0× 8 728
Manja Burggraf Germany 8 306 0.6× 380 0.9× 171 0.8× 158 1.0× 47 0.3× 8 637

Countries citing papers authored by Daniel C. St. Louis

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. St. Louis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. St. Louis. 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 C. St. Louis. The network helps show where Daniel C. St. Louis may publish in the future.

Co-authorship network of co-authors of Daniel C. St. Louis

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. St. Louis. A scholar is included among the top collaborators of Daniel C. St. Louis 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 C. St. Louis. Daniel C. St. Louis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Louis, Daniel C. St., Juliana B. Woodcock, Patrick J. Blair, et al.. (2004). Evidence for Distinct Intracellular Signaling Pathways in CD34+ Progenitor to Dendritic Cell Differentiation from a Human Cell Line Model. The Journal of Immunology. 173(10). 6490–6490. 67 indexed citations
2.
Kaushal, Sumesh, Alan Landay, Michael M. Lederman, et al.. (1999). Increases in T Cell Telomere Length in HIV Infection after Antiretroviral Combination Therapy for HIV-1 Infection Implicate Distinct Population Dynamics in CD4+ and CD8+ T Cells. Clinical Immunology. 92(1). 14–24. 29 indexed citations
3.
Louis, Daniel C. St., Juliana B. Woodcock, Patrick J. Blair, et al.. (1999). Evidence for Distinct Intracellular Signaling Pathways in CD34+ Progenitor to Dendritic Cell Differentiation from a Human Cell Line Model. The Journal of Immunology. 162(6). 3237–3248. 83 indexed citations
4.
Carroll, Richard G., James L. Riley, Bruce L. Levine, et al.. (1998). The role of co-stimulation in regulation of chemokine receptor expression and HIV-1 infection in primary T lymphocytes. Seminars in Immunology. 10(3). 195–202. 20 indexed citations
5.
Perrin, P J, Juliana B. Woodcock, Josephine H. Cox, et al.. (1998). Nucleic Acid Vaccine-Induced Immune Responses Require CD28 Costimulation and Are Regulated by CTLA4. The Journal of Immunology. 160(6). 2706–2714. 37 indexed citations
6.
Louis, Daniel C. St., Deanna Gotte, Eric Sanders‐Buell, et al.. (1998). Infectious Molecular Clones with the Nonhomologous Dimer Initiation Sequences Found in Different Subtypes of Human Immunodeficiency Virus Type 1 Can Recombine and Initiate a Spreading Infection In Vitro. Journal of Virology. 72(5). 3991–3998. 61 indexed citations
7.
Blair, Patrick J., Lawrence Boise, Stephen P. Perfetto, et al.. (1997). Impaired Induction of the Apoptosis-Protective Protein Bcl-xL in Activated PBMC from Asymptomatic HIV-Infected Individuals. Journal of Clinical Immunology. 17(3). 234–246. 14 indexed citations
8.
Carroll, Richard G., James L. Riley, Bruce L. Levine, et al.. (1997). Response from Carroll et al.. Trends in Microbiology. 5(8). 302–303. 2 indexed citations
9.
Riley, James L., Richard G. Carroll, Bruce L. Levine, et al.. (1997). Intrinsic resistance to T cell infection with HIV type 1 induced by CD28 costimulation. The Journal of Immunology. 158(11). 5545–5553. 68 indexed citations
10.
Carroll, Richard G., James L. Riley, Bruce L. Levine, et al.. (1997). Differential Regulation of HIV-1 Fusion Cofactor Expression by CD28 Costimulation of CD4 + T Cells. Science. 276(5310). 273–276. 178 indexed citations
11.
Blair, Patrick J., James L. Riley, Richard G. Carroll, et al.. (1997). CD28 co-receptor signal transduction in T-cell activation. Biochemical Society Transactions. 25(2). 651–657. 15 indexed citations
12.
Hickey, Theresa E., Patrick J. Blair, Stephen P. Perfetto, et al.. (1996). Intact antigen receptor-mediated calcium signals in patients with early stage HIV-1 infection. The Journal of Immunology. 156(10). 4012–4017. 7 indexed citations
13.
Levine, Bruce L., Joseph D. Mosca, James L. Riley, et al.. (1996). Antiviral Effect and Ex Vivo CD4 + T Cell Proliferation in HIV-Positive Patients as a Result of CD28 Costimulation. Science. 272(5270). 1939–1943. 192 indexed citations
14.
Mosca, Joseph D., Sumesh Kaushal, Suzanne Gartner, et al.. (1995). Characterization of a human stromal cell line supporting hematopoietic progenitor cell proliferation: Effect of HIV expression. Journal of Biomedical Science. 2(4). 330–342. 5 indexed citations
15.
Carroll, Richard G., et al.. (1994). A human immunodeficiency virus type 1 (HIV-1)-based retroviral vector system utilizing stable HIV-1 packaging cell lines. Journal of Virology. 68(9). 6047–6051. 41 indexed citations
16.
Warner, John F., et al.. (1991). Induction of HIV-Specific CTL and Antibody Responses in Mice Using Retroviral Vector-Transduced Cells. AIDS Research and Human Retroviruses. 7(8). 645–655. 36 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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