David R. Milich

9.9k total citations
128 papers, 8.2k citations indexed

About

David R. Milich is a scholar working on Epidemiology, Immunology and Hepatology. According to data from OpenAlex, David R. Milich has authored 128 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Epidemiology, 62 papers in Immunology and 56 papers in Hepatology. Recurrent topics in David R. Milich's work include Hepatitis B Virus Studies (101 papers), Immunotherapy and Immune Responses (51 papers) and Hepatitis C virus research (47 papers). David R. Milich is often cited by papers focused on Hepatitis B Virus Studies (101 papers), Immunotherapy and Immune Responses (51 papers) and Hepatitis C virus research (47 papers). David R. Milich collaborates with scholars based in United States, Sweden and France. David R. Milich's co-authors include A. McLachlan, Janice Hughes, Joyce Jones, Francis V. Chisari, George B. Thornton, F. Schödel, Anneke K. Raney, Matti Sällberg, Jake T. Liang and Darrell L. Peterson and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David R. Milich

125 papers receiving 7.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David R. Milich United States 51 6.2k 4.3k 2.6k 1.5k 1.4k 128 8.2k
John L. Gerin United States 60 10.6k 1.7× 8.0k 1.9× 991 0.4× 1.9k 1.2× 3.2k 2.3× 209 12.7k
Matti Sällberg Sweden 36 2.3k 0.4× 2.1k 0.5× 1.1k 0.4× 812 0.5× 844 0.6× 162 4.3k
Gregory R. Reyes United States 39 2.1k 0.3× 4.3k 1.0× 1.5k 0.6× 1.0k 0.7× 4.3k 3.2× 76 8.1k
Christoph Seeger United States 38 5.6k 0.9× 4.0k 0.9× 753 0.3× 1.8k 1.2× 1.9k 1.4× 61 7.1k
Michael Roggendorf Germany 45 5.0k 0.8× 3.5k 0.8× 1.5k 0.6× 684 0.4× 1.6k 1.2× 225 7.0k
Arvind H. Patel United Kingdom 53 4.3k 0.7× 5.2k 1.2× 786 0.3× 1.9k 1.2× 1.1k 0.8× 158 8.1k
Philippe Roingeard France 42 2.2k 0.3× 1.9k 0.5× 780 0.3× 1.1k 0.7× 951 0.7× 146 4.6k
Krishna K. Murthy United States 30 3.0k 0.5× 3.1k 0.7× 1.4k 0.6× 947 0.6× 852 0.6× 73 5.6k
Makoto Mayumi Japan 43 7.6k 1.2× 6.8k 1.6× 451 0.2× 565 0.4× 1.9k 1.4× 99 9.2k
Janice Hughes United States 30 2.4k 0.4× 1.7k 0.4× 1.1k 0.4× 543 0.4× 573 0.4× 45 3.3k

Countries citing papers authored by David R. Milich

Since Specialization
Citations

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

Fields of papers citing papers by David R. Milich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David R. Milich. 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 David R. Milich. The network helps show where David R. Milich may publish in the future.

Co-authorship network of co-authors of David R. Milich

This figure shows the co-authorship network connecting the top 25 collaborators of David R. Milich. A scholar is included among the top collaborators of David R. Milich 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 David R. Milich. David R. Milich 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.
Whitacre, David C., Byung O. Lee, & David R. Milich. (2009). Use of hepadnavirus core proteins as vaccine platforms. Expert Review of Vaccines. 8(11). 1565–1573. 72 indexed citations
2.
Milich, David R. & Geert Leroux‐Roels. (2003). Immunogenetics of the response to HBsAg vaccination. Autoimmunity Reviews. 2(5). 248–257. 71 indexed citations
3.
Hultgren, Catharina, et al.. (1998). The antiviral compound ribavirin modulates the T helper (Th) 1/Th2 subset balance in hepatitis B and C virus-specific immune responses.. Journal of General Virology. 79(10). 2381–2391. 228 indexed citations
4.
Milich, David R., Margaret Chen, Janice Hughes, & Joyce Jones. (1998). The Secreted Hepatitis B Precore Antigen Can Modulate the Immune Response to the Nucleocapsid: A Mechanism for Persistence. The Journal of Immunology. 160(4). 2013–2021. 172 indexed citations
5.
6.
Zhang, Zhu‐Xu, David R. Milich, Darrell L. Peterson, et al.. (1997). Interferon‐α Treatment Induces Delayed CD4 Proliferative Responses to the Hepatitis C Virus Nonstructural Protein 3 Regardless of the Outcome of Therapy. The Journal of Infectious Diseases. 175(6). 1294–1301. 39 indexed citations
7.
Schödel, F., Sandra M. Kelly, Darrell L. Peterson, et al.. (1994). Development of recombinant Salmonellae expressing hybrid hepatitis B virus core particles as candidate oral vaccines.. PubMed. 82. 151–8. 9 indexed citations
8.
Schödel, F., et al.. (1994). Hepatitis B Virus Core Particles as a Vaccine Carrier Moiety. International Reviews of Immunology. 11(2). 153–165. 15 indexed citations
9.
Maruyama, Toshiyuki, Shiro Iino, Kazuhiko Koike, Kiyomi Yasuda, & David R. Milich. (1993). Serology of acute exacerbation in chronic hepatitis B virus infection. Gastroenterology. 105(4). 1141–1151. 79 indexed citations
10.
Peters, Marion G., John M. Vierling, Eric M. Gershwin, et al.. (1991). Immunology and the liver. Hepatology. 13(5). 977–994. 120 indexed citations
11.
Milich, David R.. (1991). Immune Response to Hepatitis B Virus Proteins: Relevance of the Murine Model. Seminars in Liver Disease. 11(2). 93–112. 64 indexed citations
12.
Raney, Anneke K., David R. Milich, Andrew J. Easton, & A. McLachlan. (1990). Differentiation-specific transcriptional regulation of the hepatitis B virus large surface antigen gene in human hepatoma cell lines. Journal of Virology. 64(5). 2360–2368. 79 indexed citations
13.
Milich, David R., Joyce Jones, A. McLachlan, et al.. (1990). Importance of subtype in the immune response to the pre-S(2) region of the hepatitis B surface antigen. II. Synthetic Pre-S(2) immunogen.. The Journal of Immunology. 144(9). 3544–3551. 41 indexed citations
14.
Milich, David R.. (1989). Molecular and Genetic Aspects of the Immune Responses to Hepatitis B Viral Antigens. Advances in experimental medicine and biology. 257. 115–133. 7 indexed citations
15.
Milich, David R. & George B. Thornton. (1989). [41] Use of synthetic T-cell epitopes as immunogens to induce antibodies to hepatitis B components. Methods in enzymology on CD-ROM/Methods in enzymology. 178. 634–659. 2 indexed citations
16.
Raney, Anneke K., David R. Milich, Janice Hughes, et al.. (1989). Retroviral-mediated transfer and expression of hepatitis B e antigen in human primary skin fibroblasts and Esptein-Barr virus-transformed B lymphocytes. Virology. 168(1). 31–39. 10 indexed citations
17.
Milich, David R.. (1987). Immunological Response to Pre-S Antigens of the Hepatitis B Virus. Viral Immunology. 1(2). 83–96. 15 indexed citations
18.
Chisari, Francis V., P Filippi, A. McLachlan, et al.. (1986). Expression of hepatitis B virus large envelope polypeptide inhibits hepatitis B surface antigen secretion in transgenic mice. Journal of Virology. 60(3). 880–887. 231 indexed citations
19.
Milich, David R., A. McLachlan, Francis V. Chisari, & George B. Thornton. (1986). Nonoverlapping T and B cell determinants on an hepatitis B surface antigen pre-S(2) region synthetic peptide.. The Journal of Experimental Medicine. 164(2). 532–547. 70 indexed citations
20.

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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