Jaclyn K. Mann

1.3k total citations
36 papers, 678 citations indexed

About

Jaclyn K. Mann is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Jaclyn K. Mann has authored 36 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Virology, 19 papers in Infectious Diseases and 12 papers in Immunology. Recurrent topics in Jaclyn K. Mann's work include HIV Research and Treatment (30 papers), HIV/AIDS Research and Interventions (15 papers) and HIV/AIDS drug development and treatment (11 papers). Jaclyn K. Mann is often cited by papers focused on HIV Research and Treatment (30 papers), HIV/AIDS Research and Interventions (15 papers) and HIV/AIDS drug development and treatment (11 papers). Jaclyn K. Mann collaborates with scholars based in South Africa, United States and United Kingdom. Jaclyn K. Mann's co-authors include Thumbi Ndung’u, Bruce D. Walker, Saleha Omarjee, Arup K. Chakraborty, Andrew L. Ferguson, Mark A. Brockman, Zabrina L. Brumme, John P. Barton, Philip Goulder and Zaza M. Ndhlovu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jaclyn K. Mann

35 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaclyn K. Mann South Africa 13 391 276 221 184 128 36 678
Jonathan E. Dickerson United Kingdom 9 393 1.0× 249 0.9× 396 1.8× 73 0.4× 91 0.7× 16 834
Jana L. Jacobs United States 16 273 0.7× 438 1.6× 290 1.3× 222 1.2× 37 0.3× 34 877
William E. Dowling United States 13 250 0.6× 480 1.7× 154 0.7× 96 0.5× 83 0.6× 18 736
Amit Sharma United States 18 492 1.3× 465 1.7× 788 3.6× 125 0.7× 165 1.3× 39 1.2k
Kshitij Wagh United States 16 489 1.3× 568 2.1× 294 1.3× 281 1.5× 101 0.8× 28 1.1k
Mattias Mild Sweden 14 399 1.0× 312 1.1× 165 0.7× 70 0.4× 46 0.4× 19 555
Omar Perez United States 11 554 1.4× 352 1.3× 262 1.2× 150 0.8× 71 0.6× 19 768
Concha Casado Spain 17 636 1.6× 497 1.8× 114 0.5× 152 0.8× 113 0.9× 48 806
Jonathan M. Wagner United States 12 268 0.7× 257 0.9× 266 1.2× 110 0.6× 59 0.5× 12 583
Paul T. Edlefsen United States 13 679 1.7× 506 1.8× 213 1.0× 306 1.7× 71 0.6× 31 991

Countries citing papers authored by Jaclyn K. Mann

Since Specialization
Citations

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

Fields of papers citing papers by Jaclyn K. Mann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaclyn K. Mann. 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 Jaclyn K. Mann. The network helps show where Jaclyn K. Mann may publish in the future.

Co-authorship network of co-authors of Jaclyn K. Mann

This figure shows the co-authorship network connecting the top 25 collaborators of Jaclyn K. Mann. A scholar is included among the top collaborators of Jaclyn K. Mann 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 Jaclyn K. Mann. Jaclyn K. Mann 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.
Williams, Monray Edward, Jaclyn K. Mann, Thumbi Ndung’u, et al.. (2025). To end the HIV-1 pandemic, concerted research efforts must focus on sub-Saharan Africa. Nature Reviews Microbiology. 23(7). 403–404.
2.
Gounder, Kamini, Martin J. Deymier, Krista L. Dong, et al.. (2023). Generation and characterization of infectious molecular clones of transmitted/founder HIV-1 subtype C viruses. Virology. 583. 14–26. 3 indexed citations
3.
Ndhlovu, Zaza M., et al.. (2023). Partial compartmentalisation of HIV-1 subtype C between lymph nodes, peripheral blood mononuclear cells and plasma. Virology. 582. 62–70. 2 indexed citations
4.
Reddy, Tarylee, et al.. (2023). HIV-1 subtype C Nef-mediated SERINC5 down-regulation significantly contributes to overall Nef activity. Retrovirology. 20(1). 3–3. 3 indexed citations
6.
Mann, Jaclyn K., Tarylee Reddy, Mary van der Stok, et al.. (2023). Hen Egg White Bovine Colostrum Supplement Reduces Symptoms of mild/moderate COVID-19: a Randomized Control Trial. Future Science OA. 9(8). FSO882–FSO882. 3 indexed citations
7.
Mann, Jaclyn K., Thandeka Nkosi, Funsho Ogunshola, et al.. (2022). CD8 lymphocytes mitigate HIV-1 persistence in lymph node follicular helper T cells during hyperacute-treated infection. Nature Communications. 13(1). 4041–4041. 14 indexed citations
8.
Mann, Jaclyn K., Zenele Mncube, Philip Goulder, et al.. (2021). HIV-1 evades a Gag mutation that abrogates killer cell immunoglobulin-like receptor binding and disinhibits natural killer cells in infected individuals with KIR2DL2+/HLA-C∗03:04+ genotype. UCL Discovery (University College London). 1 indexed citations
9.
Gounder, Kamini, Tarylee Reddy, Marcel Tongo, et al.. (2021). Subtype-specific differences in Gag-protease replication capacity of HIV-1 isolates from East and West Africa. Retrovirology. 18(1). 11–11. 3 indexed citations
10.
Gordon, Michelle, et al.. (2020). Vulnerable targets in HIV-1 Pol for attenuation-based vaccine design. Virology. 554. 1–8. 2 indexed citations
11.
Muema, Daniel, Nasreen Ismail, Mary Dong, et al.. (2020). Association between the cytokine storm, immune cell dynamics, and viral replicative capacity in hyperacute HIV infection. BMC Medicine. 18(1). 81–81. 50 indexed citations
12.
Mwimanzi, Francis, Jaclyn K. Mann, Mwebesa Bwana, et al.. (2020). Variation in HIV-1 Nef function within and among viral subtypes reveals genetically separable antagonism of SERINC3 and SERINC5. PLoS Pathogens. 16(9). e1008813–e1008813. 21 indexed citations
14.
Reddy, Tarylee, et al.. (2019). Nef-mediated inhibition of NFAT following TCR stimulation differs between HIV-1 subtypes. Virology. 531. 192–202. 8 indexed citations
15.
Mann, Jaclyn K., et al.. (2015). Genetic determinants of Nef-mediated CD4 and HLA class I down-regulation differences between HIV-1 subtypes B and C. Virology Journal. 12(1). 200–200. 7 indexed citations
16.
Payne, Rebecca, Maximilian Muenchhoff, Jaclyn K. Mann, et al.. (2014). Impact of HLA-driven HIV adaptation on virulence in populations of high HIV seroprevalence. Proceedings of the National Academy of Sciences. 111(50). E5393–400. 62 indexed citations
17.
Mann, Jaclyn K., Denis Chopera, Saleha Omarjee, et al.. (2014). Nef-mediated down-regulation of CD4 and HLA class I in HIV-1 subtype C infection: Association with disease progression and influence of immune pressure. Virology. 468-470. 214–225. 18 indexed citations
18.
Mann, Jaclyn K., John P. Barton, Andrew L. Ferguson, et al.. (2014). The Fitness Landscape of HIV-1 Gag: Advanced Modeling Approaches and Validation of Model Predictions by In Vitro Testing. PLoS Computational Biology. 10(8). e1003776–e1003776. 92 indexed citations
19.
Ferguson, Andrew L., Jaclyn K. Mann, Saleha Omarjee, et al.. (2013). Translating HIV Sequences into Quantitative Fitness Landscapes Predicts Viral Vulnerabilities for Rational Immunogen Design. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
20.
Ferguson, Andrew L., Jaclyn K. Mann, Saleha Omarjee, et al.. (2013). Translating HIV Sequences into Quantitative Fitness Landscapes Predicts Viral Vulnerabilities for Rational Immunogen Design. Immunity. 38(3). 606–617. 171 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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