Kenneth C. Williams

9.5k total citations · 1 hit paper
117 papers, 7.5k citations indexed

About

Kenneth C. Williams is a scholar working on Virology, Immunology and Neurology. According to data from OpenAlex, Kenneth C. Williams has authored 117 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Virology, 41 papers in Immunology and 36 papers in Neurology. Recurrent topics in Kenneth C. Williams's work include HIV Research and Treatment (82 papers), Neuroinflammation and Neurodegeneration Mechanisms (36 papers) and HIV-related health complications and treatments (34 papers). Kenneth C. Williams is often cited by papers focused on HIV Research and Treatment (82 papers), Neuroinflammation and Neurodegeneration Mechanisms (36 papers) and HIV-related health complications and treatments (34 papers). Kenneth C. Williams collaborates with scholars based in United States, Canada and Norway. Kenneth C. Williams's co-authors include Tricia H. Burdo, Andrew A. Lackner, Xavier Álvarez, Jack P. Antel, Elling Ulvestad, William F. Hickey, Susan V. Westmoreland, Steven Grinspoon, Patrick Autissier and Caroline Soulas and has published in prestigious journals such as JAMA, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Kenneth C. Williams

115 papers receiving 7.4k citations

Hit Papers

Arterial Inflammation in Patients With HIV 2012 2026 2016 2021 2012 100 200 300

Peers

Kenneth C. Williams
Joseph L. Mankowski United States
Leroy R. Sharer United States
Leon G. Epstein United States
Michael Bukrinsky United States
Joan W. Berman United States
Serena Spudich United States
Jeanne E. Bell United Kingdom
Tricia H. Burdo United States
Hans S.L.M. Nottet Netherlands
Joseph L. Mankowski United States
Kenneth C. Williams
Citations per year, relative to Kenneth C. Williams Kenneth C. Williams (= 1×) peers Joseph L. Mankowski

Countries citing papers authored by Kenneth C. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth C. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth C. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth C. Williams. A scholar is included among the top collaborators of Kenneth C. 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 Kenneth C. Williams. Kenneth C. Williams 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.
Midkiff, Cecily C., et al.. (2025). Novel Perineural Pathways and the Dynamics of SIV-Infected Macrophage Trafficking Out of the Central Nervous System. American Journal Of Pathology. 195(11). 2233–2246.
3.
Williams, Kenneth C., et al.. (2022). Monocytes in HIV and SIV Infection and Aging: Implications for Inflamm-Aging and Accelerated Aging. Viruses. 14(2). 409–409. 17 indexed citations
4.
Williams, Kenneth C., et al.. (2018). An SIV macaque model of SIV and HAND: the need for adjunctive therapies in HIV that target activated monocytes and macrophages. Journal of NeuroVirology. 24(2). 213–219. 14 indexed citations
5.
Fourman, Lindsay T., Sofia D. Shaikh, Takara L. Stanley, et al.. (2018). Insulin-like growth factor 1 inversely relates to monocyte/macrophage activation markers in HIV. AIDS. 32(7). 927–932. 8 indexed citations
6.
Lakritz, Jessica R., Derek Thibault, Jake A. Robinson, et al.. (2016). α4-Integrin Antibody Treatment Blocks Monocyte/Macrophage Traffic to, Vascular Cell Adhesion Molecule-1 Expression in, and Pathology of the Dorsal Root Ganglia in an SIV Macaque Model of HIV-Peripheral Neuropathy. American Journal Of Pathology. 186(7). 1754–1761. 17 indexed citations
7.
Williams, Kenneth C., et al.. (2016). Non-human primate models of SIV infection and CNS neuropathology. Current Opinion in Virology. 19. 92–98. 25 indexed citations
8.
Walker, Joshua, et al.. (2014). Elevated Numbers of CD163 + Macrophages in Hearts of Simian Immunodeficiency Virus-Infected Monkeys Correlate with Cardiac Pathology and Fibrosis. AIDS Research and Human Retroviruses. 30(7). 685–694. 35 indexed citations
9.
Strickland, Samantha L., Rebecca Gray, Susanna L. Lamers, et al.. (2011). Significant Genetic Heterogeneity of the SIVmac251 Viral Swarm Derived from Different Sources. AIDS Research and Human Retroviruses. 27(12). 1327–1332. 19 indexed citations
10.
Zanni, Markella V., Tricia H. Burdo, Hideo Makimura, Kenneth C. Williams, & Steven Grinspoon. (2011). Relationship between monocyte/macrophage activation marker soluble CD163 and insulin resistance in obese and normal‐weight subjects. Clinical Endocrinology. 77(3). 385–390. 72 indexed citations
11.
Ratai, Eva‐Maria, Lakshmanan Annamalai, Tricia H. Burdo, et al.. (2011). Brain creatine elevation and N‐acetylaspartate reduction indicates neuronal dysfunction in the setting of enhanced glial energy metabolism in a macaque model of NeuroAIDS. Magnetic Resonance in Medicine. 66(3). 625–634. 47 indexed citations
12.
Burdo, Tricia H., Caroline Soulas, Anitha Krishnan, et al.. (2010). Increased Monocyte Turnover from Bone Marrow Correlates with Severity of SIV Encephalitis and CD163 Levels in Plasma. PLoS Pathogens. 6(4). e1000842–e1000842. 163 indexed citations
13.
Annamalai, Lakshmanan, Douglas R. Pauley, Heather Knight, et al.. (2010). Impact of Short-Term Combined Antiretroviral Therapy on Brain Virus Burden in Simian Immunodeficiency Virus-Infected and CD8+ Lymphocyte-Depleted Rhesus Macaques. American Journal Of Pathology. 177(2). 777–791. 19 indexed citations
14.
Hasegawa, Atsuhiko, Binhua Ling, Juan T. Borda, et al.. (2009). The level of monocyte turnover predicts disease progression in the macaque model of AIDS. Blood. 114(14). 2917–2925. 113 indexed citations
15.
Veazey, Ronald S., Susanne H.C. Baumeister, Melisa D. Rett, et al.. (2008). Increased Loss of CCR5 + CD45RA CD4 + T Cells in CD8 + Lymphocyte-Depleted Simian Immunodeficiency Virus-Infected Rhesus Monkeys. Journal of Virology. 82(11). 5618–5630. 30 indexed citations
16.
Ratto‐Kim, Silvia, Thippawan Chuenchitra, Lynn Pulliam, et al.. (2008). Expression of monocyte markers in HIV-1 infected individuals with or without HIV associated dementia and normal controls in Bangkok Thailand. Journal of Neuroimmunology. 195(1-2). 100–107. 6 indexed citations
17.
Veazey, Ronald S., Jeffrey D. Lifson, Jörn E. Schmitz, et al.. (2003). Dynamics of Simian immunodeficiency virus‐specific cytotoxic T‐cell responses in tissues. Journal of Medical Primatology. 32(4-5). 194–200. 24 indexed citations
18.
Williams, Kenneth C., Annette Schwartz, Sarah Corey, et al.. (2002). Proliferating Cellular Nuclear Antigen Expression as a Marker of Perivascular Macrophages in Simian Immunodeficiency Virus Encephalitis. American Journal Of Pathology. 161(2). 575–585. 62 indexed citations
19.
MacLean, Andrew G., Marlene S. Orandle, J J MacKey, et al.. (2002). Characterization of an in vitro rhesus macaque blood–brain barrier. Journal of Neuroimmunology. 131(1-2). 98–103. 17 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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