Tim Rostron

3.6k total citations · 1 hit paper
28 papers, 2.6k citations indexed

About

Tim Rostron is a scholar working on Immunology, Virology and Infectious Diseases. According to data from OpenAlex, Tim Rostron has authored 28 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 21 papers in Virology and 9 papers in Infectious Diseases. Recurrent topics in Tim Rostron's work include Immune Cell Function and Interaction (22 papers), HIV Research and Treatment (21 papers) and T-cell and B-cell Immunology (10 papers). Tim Rostron is often cited by papers focused on Immune Cell Function and Interaction (22 papers), HIV Research and Treatment (21 papers) and T-cell and B-cell Immunology (10 papers). Tim Rostron collaborates with scholars based in United Kingdom, India and Kenya. Tim Rostron's co-authors include Craig M. Bielski, Dan R. Littman, José U. Scher, Andrew Sczesnak, Vincenzo Cerundolo, Eric G. Pamer, Randy Longman, Curtis Huttenhower, Steven B. Abramson and Nicola Segata and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Tim Rostron

28 papers receiving 2.5k citations

Hit Papers

Expansion of intestinal Prevotella copri correlates with ... 2013 2026 2017 2021 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim Rostron United Kingdom 19 1.2k 827 726 724 492 28 2.6k
Thomas Prindiville United States 26 467 0.4× 903 1.1× 992 1.4× 700 1.0× 1.0k 2.1× 64 3.3k
Michaela Lucas Australia 34 417 0.4× 1.8k 2.2× 607 0.8× 501 0.7× 1.4k 2.9× 140 4.2k
Cara C. Wilson United States 23 793 0.7× 968 1.2× 771 1.1× 721 1.0× 381 0.8× 45 2.4k
Carolina Scagnolari Italy 32 523 0.4× 646 0.8× 305 0.4× 1.1k 1.5× 1.6k 3.2× 169 3.3k
Sean P. Spencer United States 23 1.2k 1.1× 2.6k 3.2× 327 0.5× 603 0.8× 370 0.8× 29 4.6k
C Y Ou United States 26 601 0.5× 186 0.2× 789 1.1× 1.0k 1.4× 536 1.1× 38 2.3k
Martha M. Eibl Austria 31 464 0.4× 1.8k 2.2× 280 0.4× 642 0.9× 686 1.4× 175 3.5k
Stefania Piconi Italy 25 264 0.2× 812 1.0× 1.2k 1.7× 821 1.1× 616 1.3× 62 2.5k
Matthias Stoll Germany 29 428 0.4× 271 0.3× 930 1.3× 1.3k 1.8× 1.1k 2.3× 104 3.2k
Denise Lecossier France 25 537 0.5× 577 0.7× 894 1.2× 1.5k 2.1× 1.5k 3.0× 38 3.5k

Countries citing papers authored by Tim Rostron

Since Specialization
Citations

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

Fields of papers citing papers by Tim Rostron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Rostron

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Rostron. A scholar is included among the top collaborators of Tim Rostron 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 Tim Rostron. Tim Rostron 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.
Wang, Ruozheng, Yunhui Hu, L.‐M. Yindom, et al.. (2014). Association analysis between HLA-A, -B, -C, -DRB1, and -DQB1 with nasopharyngeal carcinoma among a Han population in Northwestern China. Human Immunology. 75(3). 197–202. 8 indexed citations
2.
Scher, José U., Andrew Sczesnak, Randy Longman, et al.. (2013). Expansion of intestinal Prevotella copri correlates with enhanced susceptibility to arthritis. eLife. 2. e01202–e01202. 1460 indexed citations breakdown →
3.
Zhang, Yonghong, L.‐M. Yindom, Jane Holmes, et al.. (2013). HLA correlates in a cohort of slow progressors from China. AIDS. 27(17). 2822–2824. 1 indexed citations
4.
Malavige, Gathsaurie Neelika, et al.. (2011). HLA Class I and Class II Associations in Dengue Viral Infections in a Sri Lankan Population. PLoS ONE. 6(6). e20581–e20581. 55 indexed citations
5.
Malavige, Gathsaurie Neelika, et al.. (2007). HLA analysis of Sri Lankan Sinhalese predicts North Indian origin. International Journal of Immunogenetics. 34(5). 313–315. 16 indexed citations
6.
Chakraborty, Rana, Milan Reiniš, Tim Rostron, et al.. (2006). nef gene sequence variation among HIV‐1‐infected African children*. HIV Medicine. 7(2). 75–84. 8 indexed citations
8.
Chakraborty, Rana, Anne‐Sophie Morel, Julian Sutton, et al.. (2005). Correlates of Delayed Disease Progression in HIV-1-Infected Kenyan Children. The Journal of Immunology. 174(12). 8191–8199. 18 indexed citations
9.
Beattie, Tara, Rupert Kaul, Tim Rostron, et al.. (2004). Screening for HIV-specific T-cell responses using overlapping 15-mer peptide pools or optimized epitopes. AIDS. 18(11). 1595–1598. 36 indexed citations
10.
Gillespie, Geraldine M., Rupert Kaul, Tao Dong, et al.. (2002). Cross-reactive cytotoxic T lymphocytes against a HIV-1 p24 epitope in slow progressors with B*57. AIDS. 16(7). 961–972. 92 indexed citations
11.
Chakraborty, Rana, Geraldine M. Gillespie, Milan Reiniš, et al.. (2002). HIV-1-specific CD8 T cell responses in a pediatric slow progressor infected as a premature neonate. AIDS. 16(15). 2085–2087. 4 indexed citations
12.
Willcox, Benjamin E., E. Yvonne Jones, Harr Freeya Njai, et al.. (2001). Cytotoxic T lymphocytes recognize structurally diverse, clade-specific and cross-reactive peptides in human immunodeficiency virus type-1 gag through HLA-B53. European Journal of Immunology. 31(6). 1747–1756. 43 indexed citations
13.
John, Grace C., Thomas G. Bird, Julie Overbaugh, et al.. (2001). CCR5 Promoter Polymorphisms in a Kenyan Perinatal Human Immunodeficiency Virus Type 1 Cohort: Association with Increased 2‐Year Maternal Mortality. The Journal of Infectious Diseases. 184(1). 89–92. 39 indexed citations
14.
Kaul, Rupert, Sarah Rowland‐Jones, Joshua Kimani, et al.. (2001). New insights into HIV-1 specific cytotoxic T-lymphocyte responses in exposed, persistently seronegative Kenyan sex workers. Immunology Letters. 79(1-2). 3–13. 89 indexed citations
15.
Tan, Linda, Alastair G. Mowat, Tim Rostron, et al.. (2000). Specificity of T cells in synovial fluid: high frequencies of CD8+ T cells that are specific for certain viral epitopes. Arthritis Research & Therapy. 2(2). 154–64. 64 indexed citations
16.
Callan, Margaret, et al.. (2000). CD8+ T-cell selection, function, and death in the primary immune response in vivo. Journal of Clinical Investigation. 106(10). 1251–1261. 116 indexed citations
17.
Easterbrook, Philippa, Tim Rostron, Natalie Ives, et al.. (1999). Chemokine Receptor Polymorphisms and Human Immunodeficiency Virus Disease Progression. The Journal of Infectious Diseases. 180(4). 1096–1105. 61 indexed citations
18.
Tan, Rusung, Xiao‐Ning Xu, Graham S. Ogg, et al.. (1999). Rapid Death of Adoptively Transferred T Cells in Acquired Immunodeficiency Syndrome. Blood. 93(5). 1506–1510. 101 indexed citations
19.
Tan, Rusung, Xiao‐Ning Xu, Graham S. Ogg, et al.. (1999). Rapid Death of Adoptively Transferred T Cells in Acquired Immunodeficiency Syndrome. Blood. 93(5). 1506–1510. 25 indexed citations
20.
Anzala, Aggrey O., Stephen J. O’Brien, Sarah Rowland‐Jones, et al.. (1998). The 64I allele of the CCR2 chemokine receptor is strongly associated with delayed disease progression in a cohort of African prostitutes. 1 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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