Donald D. Anthony

5.4k total citations
128 papers, 3.9k citations indexed

About

Donald D. Anthony is a scholar working on Immunology, Hepatology and Virology. According to data from OpenAlex, Donald D. Anthony has authored 128 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Immunology, 36 papers in Hepatology and 27 papers in Virology. Recurrent topics in Donald D. Anthony's work include Hepatitis C virus research (35 papers), Immune Cell Function and Interaction (33 papers) and HIV Research and Treatment (27 papers). Donald D. Anthony is often cited by papers focused on Hepatitis C virus research (35 papers), Immune Cell Function and Interaction (33 papers) and HIV Research and Treatment (27 papers). Donald D. Anthony collaborates with scholars based in United States, China and France. Donald D. Anthony's co-authors include Michael M. Lederman, Tariq M. Haqqi, Benigno Rodríguez, David A. Goldthwait, Nicole L. Yonkers, Carey L. Shive, Anthony B. Post, Robert Asaad, William C. Merrick and Wei Jiang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Donald D. Anthony

122 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donald D. Anthony United States 36 1.3k 1.1k 756 632 580 128 3.9k
Jonathan P. Moorman United States 38 1.6k 1.3× 1.2k 1.1× 928 1.2× 464 0.7× 490 0.8× 128 3.7k
Vincent Lotteau France 45 2.3k 1.8× 2.0k 1.8× 2.2k 2.9× 816 1.3× 1.3k 2.2× 111 6.3k
Marcus J. Korth United States 36 1.7k 1.3× 1.7k 1.5× 2.1k 2.8× 1.2k 1.9× 1.3k 2.3× 63 5.6k
Sandra Gessani Italy 42 2.6k 2.0× 1.1k 1.0× 820 1.1× 695 1.1× 192 0.3× 122 5.0k
Michael R. Beard Australia 35 1.3k 1.0× 1.2k 1.1× 2.2k 2.9× 925 1.5× 2.2k 3.8× 84 5.0k
Hidemi Takahashi Japan 34 2.7k 2.1× 973 0.9× 779 1.0× 405 0.6× 288 0.5× 138 4.3k
Ping An United States 31 636 0.5× 701 0.6× 755 1.0× 550 0.9× 386 0.7× 76 2.5k
Anthony Meager United Kingdom 53 3.5k 2.7× 1.6k 1.4× 1.2k 1.6× 1.1k 1.8× 395 0.7× 167 8.1k
Ying Zhu China 40 1.3k 1.0× 2.0k 1.7× 1.2k 1.6× 857 1.4× 445 0.8× 159 4.7k
Georges Herbein France 46 2.4k 1.8× 1.4k 1.3× 1.7k 2.3× 1.3k 2.1× 210 0.4× 132 6.2k

Countries citing papers authored by Donald D. Anthony

Since Specialization
Citations

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

Fields of papers citing papers by Donald D. Anthony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald D. Anthony. 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 Donald D. Anthony. The network helps show where Donald D. Anthony may publish in the future.

Co-authorship network of co-authors of Donald D. Anthony

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

All Works

20 of 20 papers shown
1.
O’Mara, Megan L., et al.. (2024). Self-reported determinants of COVID-19 vaccine acceptance among persons with and without autoimmune disease. Vaccine. 42(12). 2994–3001. 1 indexed citations
2.
Malakooti, Shahdi K., Brigid Wilson, Megan L. O’Mara, et al.. (2024). Higher Vitamin D Levels before Methotrexate Therapy Initiation Are Associated with Lower Subsequent Mortality in Patients with Rheumatoid Arthritis. Nutrients. 16(3). 401–401. 1 indexed citations
4.
Davitkov, Perica, Yngve Falck–Ytter, Brigid Wilson, et al.. (2023). Increasing liver stiffness is associated with higher incidence of hepatocellular carcinoma in hepatitis C infection and non-alcoholic fatty liver disease–A population-based study. PLoS ONE. 18(1). e0280647–e0280647. 5 indexed citations
5.
Anthony, Donald D., et al.. (2021). Rapid, sensitive and cost-effective determination of immune checkpoint inhibitor activity using a magnetic bead-based binding assay. Journal of Immunological Methods. 498. 113134–113134. 2 indexed citations
7.
Черешнев, В. А., et al.. (2017). HCV coinfection of the HIV-infected patients with discordant CD4+ T-cell response to antiretroviral therapy leads to intense systemic inflammation. Doklady Biological Sciences. 477(1). 244–247. 6 indexed citations
8.
Soler, David, Anthony E. Ting, Nicholas Lehman, et al.. (2016). Development of a Functional Biomarker for Use in Cell-Based Therapy Studies in Seropositive Rheumatoid Arthritis. Stem Cells Translational Medicine. 5(5). 628–631. 2 indexed citations
10.
Hardy, Gareth, Nicole L. Yonkers, Amy Hirsch, et al.. (2012). Genetically Associated CD16+56− Natural Killer Cell Interferon (IFN)–αR Expression Regulates Signaling and Is Implicated in IFN-α–Induced Hepatitis C Virus Decline. The Journal of Infectious Diseases. 205(7). 1131–1141. 8 indexed citations
11.
Yonkers, Nicole L., Scott F. Sieg, Benigno Rodríguez, & Donald D. Anthony. (2011). Reduced Naive CD4 T Cell Numbers and Impaired Induction of CD27 in Response to T Cell Receptor Stimulation Reflect a State of Immune Activation in Chronic Hepatitis C Virus Infection. The Journal of Infectious Diseases. 203(5). 635–645. 48 indexed citations
12.
Schlatzer, Daniela, et al.. (2011). A quantitative proteomic approach for detecting protein profiles of activated human myeloid dendritic cells. Journal of Immunological Methods. 375(1-2). 39–45. 15 indexed citations
13.
Canaday, David H., et al.. (2010). Preserved MHC-II antigen processing and presentation function in chronic HCV infection. Cellular Immunology. 266(2). 187–191. 7 indexed citations
14.
Yonkers, Nicole L., Benigno Rodríguez, Anthony B. Post, et al.. (2006). HIV Coinfection Impairs CD28‐Mediated Costimulation of Hepatitis C Virus–Specific CD8 Cells. The Journal of Infectious Diseases. 194(3). 391–400. 14 indexed citations
15.
Berner, B, Magdalena Tary‐Lehmann, Nicole L. Yonkers, et al.. (2005). Phenotypic and functional analysis of EBV-specific memory CD8 cells in SLE. Cellular Immunology. 235(1). 29–38. 57 indexed citations
16.
Shata, Mohamed Tarek M., Donald D. Anthony, Linda Andrus, et al.. (2002). Characterization of the immune response against hepatitis C infection in recovered, and chronically infected chimpanzees. Journal of Viral Hepatitis. 9(6). 400–410. 36 indexed citations
17.
Valdez, Hernán, Donald D. Anthony, Abhay Patki, et al.. (2000). Immune responses to hepatitis C and non-hepatitis C antigens in hepatitis C virus infected and HIV-1 coinfected patients. AIDS. 14(15). 2239–2246. 62 indexed citations
18.
Shen, Feng, et al.. (1997). Effective tumor vaccines generated by in vitro modification of tumor cells with cytokines and bispecific monoclonal antibodies. Nature Medicine. 3(4). 451–455. 38 indexed citations
19.
Trojan, Jerzy, Đức Việt Hồ, C. Lafarge‐Frayssinet, et al.. (1996). [Immunotherapy of tumors expressing IGF-I].. PubMed. 190(1). 165–9. 2 indexed citations
20.
Anthony, Donald D., et al.. (1986). Affinity labeling of protein synthesis factors. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 46(21). 8836–42. 1 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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