LaTonya D. Williams

1.1k total citations
9 papers, 272 citations indexed

About

LaTonya D. Williams is a scholar working on Virology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, LaTonya D. Williams has authored 9 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Virology, 6 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in LaTonya D. Williams's work include HIV Research and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and T-cell and B-cell Immunology (4 papers). LaTonya D. Williams is often cited by papers focused on HIV Research and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and T-cell and B-cell Immunology (4 papers). LaTonya D. Williams collaborates with scholars based in United States, Germany and United Kingdom. LaTonya D. Williams's co-authors include Steffanie Sabbaj, Sonya L. Heath, Paul A. Goepfert, Anju Bansal, Allan Zajac, Jianming Tang, Wei Song, Georgia D. Tomaras, Thomas J. Hope and M. Anthony Moody and has published in prestigious journals such as Journal of Virology, Frontiers in Immunology and PLoS Pathogens.

In The Last Decade

LaTonya D. Williams

8 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
LaTonya D. Williams United States 6 151 119 66 54 48 9 272
Brigitte Müllauer Austria 9 234 1.5× 89 0.7× 37 0.6× 50 0.9× 48 1.0× 12 339
Katija Jelicic United States 6 149 1.0× 175 1.5× 23 0.3× 42 0.8× 61 1.3× 12 272
I. AXBERG Sweden 10 316 2.1× 101 0.8× 112 1.7× 68 1.3× 57 1.2× 16 442
Kateřina Zachová Czechia 8 109 0.7× 107 0.9× 49 0.7× 129 2.4× 47 1.0× 13 285
Lucie Bracq France 8 146 1.0× 144 1.2× 15 0.2× 111 2.1× 127 2.6× 10 366
Marie‐Ève Blais United Kingdom 10 237 1.6× 102 0.9× 13 0.2× 72 1.3× 60 1.3× 12 344
Sophie Gratton Canada 11 306 2.0× 301 2.5× 30 0.5× 89 1.6× 148 3.1× 12 518
Indira K. Hewlett United States 4 133 0.9× 278 2.3× 30 0.5× 64 1.2× 131 2.7× 4 362
Cecilia M. O’Brien United States 3 198 1.3× 30 0.3× 29 0.4× 26 0.5× 66 1.4× 3 357
Joey Lai Australia 9 304 2.0× 198 1.7× 11 0.2× 71 1.3× 38 0.8× 16 429

Countries citing papers authored by LaTonya D. Williams

Since Specialization
Citations

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

Fields of papers citing papers by LaTonya D. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of LaTonya D. Williams

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

All Works

9 of 9 papers shown
1.
Montefiori, David C., Guido Ferrari, Dieter Mielke, LaTonya D. Williams, & Georgia D. Tomaras. (2025). Current Approaches for Assessments of Neutralizing, Binding, and Effector Functions of Antibodies on the Path to Antibody-Mediated Prevention Strategies for HIV-1. Current HIV Research. 23(6). 428–441.
2.
Rahman, Mohammad Arif, Y. Patskovsky, Massimiliano Bissa, et al.. (2023). Cholera toxin B scaffolded, focused SIV V2 epitope elicits antibodies that influence the risk of SIVmac251 acquisition in macaques. Frontiers in Immunology. 14. 1139402–1139402. 1 indexed citations
3.
Verma, Anil, Sonny R. Elizaldi, Justin C. Smith, et al.. (2023). Tailoring Tfh profiles enhances antibody persistence to a clade C HIV-1 vaccine in rhesus macaques. eLife. 12. 5 indexed citations
4.
Tay, Matthew Zirui, Pinghuang Liu, LaTonya D. Williams, et al.. (2016). Antibody-Mediated Internalization of Infectious HIV-1 Virions Differs among Antibody Isotypes and Subclasses. PLoS Pathogens. 12(8). e1005817–e1005817. 79 indexed citations
5.
Liu, Pinghuang, LaTonya D. Williams, Xiaoying Shen, et al.. (2014). Capacity for Infectious HIV-1 Virion Capture Differs by Envelope Antibody Specificity. Journal of Virology. 88(9). 5165–5170. 28 indexed citations
6.
Williams, LaTonya D., Nilesh Amatya, Anju Bansal, et al.. (2014). Immune Activation Is Associated with CD8 T Cell Interleukin-21 Production in HIV-1-Infected Individuals. Journal of Virology. 88(17). 10259–10263. 10 indexed citations
7.
Williams, LaTonya D., Anju Bansal, Steffanie Sabbaj, et al.. (2010). Interleukin-21-Producing HIV-1-Specific CD8 T Cells Are Preferentially Seen in Elite Controllers. Journal of Virology. 85(5). 2316–2324. 75 indexed citations
8.
Kanangat, Siva, et al.. (2007). Modulation of virulence gene expression in Staphylococcus aureus by interleukin-1β: Novel implications in bacterial pathogenesis. Microbes and Infection. 9(3). 408–415. 26 indexed citations
9.
Lichtner, Rosemarie B., Andreas M. Kaufmann, Jürgen Walter, et al.. (1995). Ligand mediated activation of ectopic EGF receptor promotes matrix protein adhesion and lung colonization of rat mammary adenocarcinoma cells.. PubMed. 10(9). 1823–32. 48 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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