John T. Bates

2.2k total citations
37 papers, 1.1k citations indexed

About

John T. Bates is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, John T. Bates has authored 37 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 17 papers in Infectious Diseases and 14 papers in Immunology. Recurrent topics in John T. Bates's work include SARS-CoV-2 and COVID-19 Research (10 papers), Respiratory viral infections research (9 papers) and Influenza Virus Research Studies (8 papers). John T. Bates is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), Respiratory viral infections research (9 papers) and Influenza Virus Research Studies (8 papers). John T. Bates collaborates with scholars based in United States, China and Australia. John T. Bates's co-authors include Steven B. Mizel, James E. Crowe, Satoshi Uematsu, J. A. Mumford, Shizuo Akira, Aaron H. Graff, Ritesh Tandon, Fuming Zhang, Robert J. Linhardt and Xiaolin Wen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

John T. Bates

35 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John T. Bates United States 20 410 378 323 219 98 37 1.1k
Vincent Pavot France 18 505 1.2× 347 0.9× 343 1.1× 331 1.5× 46 0.5× 34 1.1k
Nicolas Rochereau France 17 566 1.4× 183 0.5× 241 0.7× 335 1.5× 73 0.7× 30 1.1k
Barry Benaissa-Trouw Netherlands 16 362 0.9× 280 0.7× 358 1.1× 378 1.7× 69 0.7× 49 1.2k
Ruizhong Shen United States 18 500 1.2× 217 0.6× 317 1.0× 291 1.3× 108 1.1× 28 1.2k
Julia Romanova Austria 20 576 1.4× 1.0k 2.7× 369 1.1× 331 1.5× 103 1.1× 45 1.4k
Jaang-Jiun Wang United States 17 354 0.9× 285 0.8× 558 1.7× 346 1.6× 88 0.9× 24 1.4k
Catherine L. Wilhelmsen United States 20 328 0.8× 272 0.7× 334 1.0× 335 1.5× 130 1.3× 35 1.3k
Gabriel Kristian Pedersen Denmark 21 671 1.6× 415 1.1× 304 0.9× 278 1.3× 31 0.3× 59 1.2k
Boris Ferko Austria 26 658 1.6× 948 2.5× 404 1.3× 441 2.0× 126 1.3× 38 1.6k
Shahriar Behboudi United Kingdom 25 984 2.4× 640 1.7× 242 0.7× 321 1.5× 99 1.0× 63 1.7k

Countries citing papers authored by John T. Bates

Since Specialization
Citations

This map shows the geographic impact of John T. Bates'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 T. Bates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Bates more than expected).

Fields of papers citing papers by John T. Bates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John T. Bates

This figure shows the co-authorship network connecting the top 25 collaborators of John T. Bates. A scholar is included among the top collaborators of John T. Bates 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 T. Bates. John T. Bates 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.
Song, Yuefan, Weihua Jin, Ke Xia, et al.. (2024). Sulfated Glycans Inhibit the Interaction of MERS-CoV Receptor Binding Domain with Heparin. Viruses. 16(2). 237–237. 7 indexed citations
2.
Watts, Douglas M., et al.. (2024). Evidence of SARS-CoV-2 Antibody in Mississippi White-Tailed Deer. Vector-Borne and Zoonotic Diseases. 24(10). 682–688. 1 indexed citations
3.
Dixit, Naznin, et al.. (2024). New-onset diabetes in children during the COVID-19 Pandemic: an assessment of biomarkers and psychosocial risk factors at play in Mississippi. Annals of Pediatric Endocrinology & Metabolism. 29(4). 234–241. 1 indexed citations
4.
He, Peng, Yuefan Song, Weihua Jin, et al.. (2024). Marine sulfated glycans inhibit the interaction of heparin with S-protein of SARS-CoV-2 Omicron XBB variant. Glycoconjugate Journal. 41(2). 163–174. 6 indexed citations
5.
6.
Song, Yuefan, Peng He, P.K. Datta, et al.. (2021). Anti-SARS-CoV-2 Activity of Rhamnan Sulfate from Monostroma nitidum. Marine Drugs. 19(12). 685–685. 42 indexed citations
7.
Mitra, Dipanwita, Mohammad Hasan, John T. Bates, Gene L. Bidwell, & Ritesh Tandon. (2021). Tegument Protein pp150 Sequence-Specific Peptide Blocks Cytomegalovirus Infection. Viruses. 13(11). 2277–2277. 6 indexed citations
8.
Yan, Lufeng, Yuefan Song, Ke Xia, et al.. (2021). Heparan sulfates from bat and human lung and their binding to the spike protein of SARS-CoV-2 virus. Carbohydrate Polymers. 260. 117797–117797. 26 indexed citations
9.
Mitra, Dipanwita, Mohammad Hasan, John T. Bates, et al.. (2021). The degree of polymerization and sulfation patterns in heparan sulfate are critical determinants of cytomegalovirus entry into host cells. PLoS Pathogens. 17(8). e1009803–e1009803. 25 indexed citations
10.
Tandon, Ritesh, Dipanwita Mitra, Poonam Sharma, et al.. (2020). Effective screening of SARS-CoV-2 neutralizing antibodies in patient serum using lentivirus particles pseudotyped with SARS-CoV-2 spike glycoprotein. Scientific Reports. 10(1). 19076–19076. 23 indexed citations
11.
Wen, Xiaolin, Jarrod J. Mousa, John T. Bates, et al.. (2017). Structural basis for antibody cross-neutralization of respiratory syncytial virus and human metapneumovirus. Nature Microbiology. 2(4). 16272–16272. 60 indexed citations
12.
Bates, John T., Jennifer E. Schuster, Monika Johnson, et al.. (2016). Immunogenicity and efficacy of alphavirus-derived replicon vaccines for respiratory syncytial virus and human metapneumovirus in nonhuman primates. Vaccine. 34(7). 950–956. 25 indexed citations
13.
Galliher-Beckley, Amy, Xiangdong Li, John T. Bates, et al.. (2015). Pigs immunized with Chinese highly pathogenic PRRS virus modified live vaccine are protected from challenge with North American PRRSV strain NADC-20. Vaccine. 33(30). 3518–3525. 19 indexed citations
14.
Bates, John T., Christopher J. Keefer, James C. Slaughter, et al.. (2014). Escape from neutralization by the respiratory syncytial virus-specific neutralizing monoclonal antibody palivizumab is driven by changes in on-rate of binding to the fusion protein. Virology. 454-455. 139–144. 32 indexed citations
15.
Zeitlin, Larry, Ognian Bohorov, Natasha Bohorova, et al.. (2013). Prophylactic and therapeutic testing of Nicotiana-derived RSV-neutralizing human monoclonal antibodies in the cotton rat model. mAbs. 5(2). 263–269. 24 indexed citations
16.
Bates, John T., Anna N. Honko, Aaron H. Graff, Nancy D. Kock, & Steven B. Mizel. (2008). Mucosal adjuvant activity of flagellin in aged mice. Mechanisms of Ageing and Development. 129(5). 271–281. 53 indexed citations
17.
Bates, John T. & R. Pat Bucy. (2005). Enhanced responsiveness to antigen contributes more to immunological memory in CD4 T cells than increases in the number of cells. Immunology. 116(3). 318–327. 5 indexed citations
18.
Deliyannis, Georgia, David C. Jackson, Wayne B. Dyer, et al.. (1998). Immunopotentiation of humoral and cellular responses to inactivated influenza vaccines by two different adjuvants with potential for human use. Vaccine. 16(20). 2058–2068. 26 indexed citations
19.
20.
Rolton, Hilary A., John T. Bates, & H.M. Keir. (1972). Some physical and kinetic properties of deoxycytidylate deaminase from normal and virus-infected mammalian cells. Biochemical Journal. 129(2). 14P–15P.

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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