John W. Shiver

16.4k total citations · 4 hit papers
109 papers, 9.5k citations indexed

About

John W. Shiver is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, John W. Shiver has authored 109 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Immunology, 58 papers in Virology and 38 papers in Molecular Biology. Recurrent topics in John W. Shiver's work include HIV Research and Treatment (58 papers), Immune Cell Function and Interaction (35 papers) and Virus-based gene therapy research (22 papers). John W. Shiver is often cited by papers focused on HIV Research and Treatment (58 papers), Immune Cell Function and Interaction (35 papers) and Virus-based gene therapy research (22 papers). John W. Shiver collaborates with scholars based in United States, Japan and Italy. John W. Shiver's co-authors include Margaret A. Liu, Jeffrey B. Ulmer, John Donnelly, Helen C. Perry, Danilo R. Casimiro, Arthur Friedman, Donna L. Montgomery, Douglas Martinez, Emilio A. Emini and Karen Leander and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

John W. Shiver

107 papers receiving 9.2k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Heterologous Protection Against Influenza by Injection of DNA Encoding a Viral Protein

1993 1.9k citations Helen C. Perry, John W. Shiver et al. profile →
DNA VACCINES

1997 883 citations John W. Shiver et al. profile →
HIV-1 vaccine-induced immunity in the test-of-concept Step Study: a case–cohort analysis

2008 517 citations M. Juliana McElrath, Sheri Dubey et al. profile →
Next-generation influenza vaccines: opportunities and challenges

2020 234 citations Chih‐Jen Wei, Michelle C. Crank et al. Nature Reviews Drug Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John W. Shiver United States	48	4.8k	3.4k	3.3k	2.8k	2.3k	109	9.5k
Harriet L. Robinson United States	59	5.3k 1.1×	3.7k 1.1×	3.8k 1.2×	3.5k 1.3×	2.5k 1.1×	192	11.3k
Patricia L. Earl United States	54	3.5k 0.7×	3.6k 1.0×	3.0k 0.9×	7.0k 2.5×	2.4k 1.0×	131	9.4k
Jeffrey B. Ulmer United States	55	7.0k 1.4×	3.7k 1.1×	5.7k 1.8×	1.6k 0.6×	4.1k 1.8×	143	13.2k
Gerd Sutter Germany	54	4.4k 0.9×	3.9k 1.2×	2.4k 0.7×	3.7k 1.3×	2.4k 1.1×	211	10.0k
Danilo R. Casimiro United States	46	2.3k 0.5×	2.1k 0.6×	2.5k 0.8×	2.2k 0.8×	1.9k 0.9×	109	6.9k
Greg J. Towers United Kingdom	54	3.5k 0.7×	2.5k 0.7×	3.3k 1.0×	4.9k 1.7×	2.9k 1.3×	118	8.9k
Marjorie Robert-Guroff United States	53	7.1k 1.5×	2.2k 0.6×	1.8k 0.5×	5.1k 1.8×	2.3k 1.0×	195	11.4k
Zhi-Yong Yang United States	39	2.4k 0.5×	2.1k 0.6×	2.1k 0.6×	2.2k 0.8×	3.1k 1.4×	54	7.0k
Hana Golding United States	49	4.3k 0.9×	3.5k 1.0×	1.8k 0.5×	2.7k 0.9×	2.0k 0.9×	184	8.2k
Ronald C. Montelaro United States	58	2.5k 0.5×	3.5k 1.0×	3.4k 1.0×	5.2k 1.9×	2.4k 1.0×	224	11.4k

Countries citing papers authored by John W. Shiver

Since Specialization

Citations

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

Fields of papers citing papers by John W. Shiver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Shiver. 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 John W. Shiver. The network helps show where John W. Shiver may publish in the future.

Co-authorship network of co-authors of John W. Shiver

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

All Works

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20 of 20 papers shown

Guo, Hailong, Sha Ha, Jason Botten, et al.. (2024). SARS-CoV-2 Omicron: Viral Evolution, Immune Evasion, and Alternative Durable Therapeutic Strategies. Viruses. 16(5). 697–697. 6 indexed citations

Montefiori, David C., et al.. (2021). The high-affinity immunoglobulin receptor FcγRI potentiates HIV-1 neutralization via antibodies against the gp41 N-heptad repeat. Proceedings of the National Academy of Sciences. 118(3). 15 indexed citations

Deschamps, Isabelle, Julie L. Gerberding, Emmanuel Hanon, et al.. (2020). Developing Vaccines for SARS-CoV-2 and Future Epidemics and Pandemics: Applying Lessons from Past Outbreaks. Health Security. 18(3). 241–249. 27 indexed citations

Wei, Chih‐Jen, Michelle C. Crank, John W. Shiver, et al.. (2020). Next-generation influenza vaccines: opportunities and challenges. Nature Reviews Drug Discovery. 19(4). 239–252. 234 indexed citations breakdown →

Freed, Daniel C., Qi Tang, Aimin Tang, et al.. (2013). Pentameric complex of viral glycoprotein H is the primary target for potent neutralization by a human cytomegalovirus vaccine. Proceedings of the National Academy of Sciences. 110(51). E4997–5005. 111 indexed citations

Fu, Tong‐Ming, Dai Wang, Daniel C. Freed, et al.. (2012). Restoration of viral epithelial tropism improves immunogenicity in rabbits and rhesus macaques for a whole virion vaccine of human cytomegalovirus. Vaccine. 30(52). 7469–7474. 57 indexed citations

Hutnick, Natalie A., Lauren A. Hirao, Bernadette Ferraro, et al.. (2012). An optimized SIV DNA vaccine can serve as a boost for Ad5 and provide partial protection from a high-dose SIVmac251 challenge. Vaccine. 30(21). 3202–3208. 13 indexed citations

Li, Fusheng, Adam C. Finnefrock, Sheri Dubey, et al.. (2011). Mapping HIV-1 Vaccine Induced T-Cell Responses: Bias towards Less-Conserved Regions and Potential Impact on Vaccine Efficacy in the Step Study. PLoS ONE. 6(6). e20479–e20479. 56 indexed citations

Finnefrock, Adam C., Aimin Tang, Fengsheng Li, et al.. (2009). PD-1 Blockade in Rhesus Macaques: Impact on Chronic Infection and Prophylactic Vaccination. The Journal of Immunology. 182(2). 980–987. 100 indexed citations

10.

Cox, Kara S., James H. Clair, Kara J. Sykes, et al.. (2008). DNA gag/Adenovirus Type 5 (Ad5) gag and Ad5 gag/Ad5 gag Vaccines Induce Distinct T-Cell Response Profiles. Journal of Virology. 82(16). 8161–8171. 41 indexed citations

11.

Harro, Clayton, Michael Robertson, Michelle Lally, et al.. (2008). Safety and Immunogenicity of Adenovirus-Vectored Near-Consensus HIV Type 1 Clade B gag Vaccines in Healthy Adults. AIDS Research and Human Retroviruses. 25(1). 103–114. 46 indexed citations

12.

Finnefrock, Adam C., et al.. (2007). HIV Type 1 Vaccines for Worldwide Use: Predicting In-Clade and Cross-Clade Breadth of Immune Responses. AIDS Research and Human Retroviruses. 23(10). 1283–1292. 11 indexed citations

13.

Kierstead, Lisa, Sheri Dubey, Timothy W. Tobery, et al.. (2007). Enhanced Rates and Magnitude of Immune Responses Detected against an HIV Vaccine: Effect of Using an Optimized Process for Isolating PBMC. AIDS Research and Human Retroviruses. 23(1). 86–92. 60 indexed citations

14.

Zhang, Zhiqiang, Danilo R. Casimiro, William A. Schleif, et al.. (2007). Early depletion of proliferating B cells of germinal center in rapidly progressive simian immunodeficiency virus infection. Virology. 361(2). 455–464. 34 indexed citations

15.

Tobery, Timothy W., Sheri Dubey, Daniel C. Freed, et al.. (2006). A Comparison of Standard Immunogenicity Assays for Monitoring HIV Type 1 gag-Specific T Cell Responses in Ad5 HIV Type 1 gag Vaccinated Human Subjects. AIDS Research and Human Retroviruses. 22(11). 1081–1090. 26 indexed citations

16.

Davenport, Miles P., et al.. (2006). Influence of Peak Viral Load on the Extent of CD4+ T-Cell Depletion in Simian HIV Infection. JAIDS Journal of Acquired Immune Deficiency Syndromes. 41(3). 259–265. 35 indexed citations

17.

Trigona, Wendy L., James H. Clair, Natasha Persaud, et al.. (2003). Intracellular Staining for HIV-Specific IFN-γ Production: Statistical Analyses Establish Reproducibility and Criteria for Distinguishing Positive Responses. Journal of Interferon & Cytokine Research. 23(7). 369–377. 18 indexed citations

18.

Barouch, Dan H., Sampa Santra, Klara Tenner‐Racz, et al.. (2002). Potent CD4+ T Cell Responses Elicited by a Bicistronic HIV-1 DNA Vaccine Expressing gp120 and GM-CSF. The Journal of Immunology. 168(2). 562–568. 131 indexed citations

19.

Lekutis, Christine, et al.. (1997). HIV-1 env DNA vaccine administered to rhesus monkeys elicits MHC class II-restricted CD4+ T helper cells that secrete IFN-gamma and TNF-alpha. The Journal of Immunology. 158(9). 4471–4477. 54 indexed citations

20.

Shiver, John W. & J J Donovan. (1987). Interactions of diphtheria toxin with lipid vesicles: determinants of ion channel formation. Biochimica et Biophysica Acta (BBA) - Biomembranes. 903(1). 48–55. 26 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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