Ned Sacktor

1.8k total citations
18 papers, 1.4k citations indexed

About

Ned Sacktor is a scholar working on Virology, Emergency Medicine and Infectious Diseases. According to data from OpenAlex, Ned Sacktor has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Virology, 10 papers in Emergency Medicine and 9 papers in Infectious Diseases. Recurrent topics in Ned Sacktor's work include HIV Research and Treatment (14 papers), HIV-related health complications and treatments (10 papers) and HIV/AIDS Research and Interventions (8 papers). Ned Sacktor is often cited by papers focused on HIV Research and Treatment (14 papers), HIV-related health complications and treatments (10 papers) and HIV/AIDS Research and Interventions (8 papers). Ned Sacktor collaborates with scholars based in United States, Uganda and Canada. Ned Sacktor's co-authors include Eric N. Miller, Justin C. McArthur, Bruce A. Cohen, James T. Becker, Ola A. Selnes, Cynthia A. Kleeberger, Robert H. Lyles, Richard L. Skolasky, Michael R. Watters and Cecilia Shikuma and has published in prestigious journals such as American Journal of Clinical Nutrition, Neurology and Annals of Neurology.

In The Last Decade

Ned Sacktor

18 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ned Sacktor United States 15 984 645 574 235 183 18 1.4k
Daniel McClernon United States 18 1.3k 1.3× 898 1.4× 466 0.8× 318 1.4× 307 1.7× 27 1.6k
T. E. Nance‐Sproson United States 12 1.0k 1.1× 592 0.9× 390 0.7× 206 0.9× 319 1.7× 13 1.3k
Aylin Yilmaz Sweden 24 876 0.9× 1.1k 1.7× 361 0.6× 256 1.1× 227 1.2× 68 1.8k
Simonetta Galgani Italy 20 745 0.8× 580 0.9× 435 0.8× 179 0.8× 154 0.8× 46 1.5k
Valerio Tozzi Italy 21 1.2k 1.2× 1.2k 1.8× 637 1.1× 281 1.2× 117 0.6× 40 1.7k
Cecilia Shikuma United States 24 1.5k 1.5× 1.0k 1.6× 1.0k 1.8× 329 1.4× 284 1.6× 41 2.1k
Scott Letendre United States 9 843 0.9× 587 0.9× 443 0.8× 163 0.7× 134 0.7× 14 1.0k
Thep Chalermchai Thailand 20 758 0.8× 480 0.7× 363 0.6× 244 1.0× 180 1.0× 41 1.2k
JT Becker United States 6 688 0.7× 393 0.6× 294 0.5× 138 0.6× 169 0.9× 7 871
Rita Bellagamba Italy 19 871 0.9× 782 1.2× 497 0.9× 196 0.8× 101 0.6× 50 1.2k

Countries citing papers authored by Ned Sacktor

Since Specialization
Citations

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

Fields of papers citing papers by Ned Sacktor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ned Sacktor. 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 Ned Sacktor. The network helps show where Ned Sacktor may publish in the future.

Co-authorship network of co-authors of Ned Sacktor

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

All Works

18 of 18 papers shown
1.
Thakur, Kiran T., Noeline Nakasujja, Gertrude Nakigozi, et al.. (2020). Evaluation of a screening tool for the identification of neurological disorders in rural Uganda. Journal of the Neurological Sciences. 421. 117273–117273. 2 indexed citations
2.
Skolasky, Richard L., Henrik Zetterberg, Kaj Blennow, et al.. (2019). Neurofilament Light Chain Protein Levels in HIV Positive Subjects with Neuropathy (P4.9-005). Neurology. 92(15_supplement). 1 indexed citations
3.
Goodkin, Karl, Eric N. Miller, Christopher Cox, et al.. (2017). Effect of ageing on neurocognitive function by stage of HIV infection: evidence from the Multicenter AIDS Cohort Study. The Lancet HIV. 4(9). e411–e422. 87 indexed citations
4.
Lloyd, Thomas E., Iago Pinal‐Fernandez, Lisa Christopher‐Stine, et al.. (2017). Overlapping features of polymyositis and inclusion body myositis in HIV-infected patients. Neurology. 88(15). 1454–1460. 36 indexed citations
5.
Tashima, Karen T., Victor Valcour, Ned Sacktor, & Robert Paul. (2009). HIV and the Brain. Humana Press eBooks. 2 indexed citations
6.
Becker, James T., Lawrence Kingsley, J. Mullen, et al.. (2009). Vascular risk factors, HIV serostatus, and cognitive dysfunction in gay and bisexual men. Neurology. 73(16). 1292–1299. 138 indexed citations
7.
Robertson, Kevin R., Noeline Nakasujja, Matthew C. Wong, et al.. (2007). Pattern of neuropsychological performance among HIV positive patients in Uganda. BMC Neurology. 7(1). 8–8. 62 indexed citations
8.
Sacktor, Ned, Noeline Nakasujja, Kevin Robertson, & David B. Clifford. (2007). HIV-associated cognitive impairment in sub-Saharan Africa—the potential effect of clade diversity. Nature Clinical Practice Neurology. 3(8). 436–443. 37 indexed citations
9.
Sevigny, Jeffrey, Steven M. Albert, Michael McDermott, et al.. (2007). An Evaluation of Neurocognitive Status and Markers of Immune Activation as Predictors of Time to Death in Advanced HIV Infection. Archives of Neurology. 64(1). 97–97. 82 indexed citations
10.
Cole, Mark A., Joseph B. Margolick, Christopher Cox, et al.. (2007). Longitudinally preserved psychomotor performance in long-term asymptomatic HIV-infected individuals. Neurology. 69(24). 2213–2220. 57 indexed citations
11.
Riedel, David J., Manisha Ghate, Ramesh Paranjape, et al.. (2006). Screening for human immunodeficiency virus (HIV) dementia in an HIV clade C–infected population in India. Journal of NeuroVirology. 12(1). 34–38. 33 indexed citations
12.
Irani, David N., Caroline Anderson, Rebekah L. Gundry, et al.. (2006). Cleavage of cystatin C in the cerebrospinal fluid of patients with multiple sclerosis. Annals of Neurology. 59(2). 237–247. 79 indexed citations
13.
Cysique, Lucette A., Bruce J. Brew, Mark Halman, et al.. (2005). Undetectable Cerebrospinal Fluid HIV RNA and β-2 Microglobulin Do Not Indicate Inactive AIDS Dementia Complex in Highly Active Antiretroviral Therapy-Treated Patients. JAIDS Journal of Acquired Immune Deficiency Syndromes. 39(4). 426–429. 44 indexed citations
14.
Valcour, Victor, Cecilia Shikuma, Michael R. Watters, & Ned Sacktor. (2004). Cognitive impairment in older HIV-1-seropositive individuals. AIDS. 18(Supplement 1). 79–86. 143 indexed citations
15.
Sacktor, Ned, Robert H. Lyles, Richard L. Skolasky, et al.. (2001). HIV-associated neurologic disease incidence changes:. Neurology. 56(2). 257–260. 469 indexed citations
16.
Sacktor, Ned & Justin C. McArthur. (1997). Prospects for therapy of HIV-associated neurologic diseases. Journal of NeuroVirology. 3(2). 89–101. 25 indexed citations
17.
Marder, Karen, X. Liu, Yaakov Stern, et al.. (1995). Neurologic signs and symptoms in a cohort of homosexual men followed for 4.5 years. Neurology. 45(2). 261–267. 25 indexed citations
18.
Duyn, Mary Ann Van, et al.. (1984). The design of a diet restricted in saturated very long-chain fatty acids: therapeutic application in adrenoleukodystrophy. American Journal of Clinical Nutrition. 40(2). 277–284. 32 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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