John Archer

2.0k total citations · 1 hit paper
37 papers, 1.5k citations indexed

About

John Archer is a scholar working on Molecular Biology, Virology and Genetics. According to data from OpenAlex, John Archer has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Virology and 10 papers in Genetics. Recurrent topics in John Archer's work include HIV Research and Treatment (13 papers), Genomics and Phylogenetic Studies (10 papers) and HIV/AIDS drug development and treatment (5 papers). John Archer is often cited by papers focused on HIV Research and Treatment (13 papers), Genomics and Phylogenetic Studies (10 papers) and HIV/AIDS drug development and treatment (5 papers). John Archer collaborates with scholars based in United Kingdom, Portugal and United States. John Archer's co-authors include David L. Robertson, Andrew Rambaut, Michael H. Malim, Yoon‐Seok Chung, Steven M. Wolinsky, Sudhir Penugonda, Ramón Lorenzo-Redondo, Eun‐Young Kim, Courtney V. Fletcher and Angela R. McLean and has published in prestigious journals such as Nature, Nucleic Acids Research and Bioinformatics.

In The Last Decade

John Archer

37 papers receiving 1.4k citations

Hit Papers

Persistent HIV-1 replication maintains the tissue reservo... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Archer United Kingdom 19 857 743 415 246 199 37 1.5k
Nancy McKinney United States 10 587 0.7× 879 1.2× 620 1.5× 305 1.2× 216 1.1× 12 2.0k
Brendan B. Larsen United States 11 530 0.6× 552 0.7× 281 0.7× 162 0.7× 217 1.1× 20 1.1k
Masako Nomaguchi Japan 22 711 0.8× 568 0.8× 337 0.8× 213 0.9× 315 1.6× 83 1.3k
Melissa Kane United States 13 530 0.6× 506 0.7× 493 1.2× 311 1.3× 678 3.4× 22 1.5k
Benjamin J. Burwitz United States 20 732 0.9× 246 0.3× 249 0.6× 305 1.2× 723 3.6× 47 1.2k
George Lin United States 15 510 0.6× 296 0.4× 318 0.8× 347 1.4× 601 3.0× 24 1.4k
Francesca Di Giallonardo Australia 20 237 0.3× 543 0.7× 347 0.8× 191 0.8× 133 0.7× 49 1.2k
Xiaoyun Wu China 16 464 0.5× 395 0.5× 330 0.8× 135 0.5× 109 0.5× 25 836
Bangdong L. Wei United States 11 590 0.7× 361 0.5× 697 1.7× 236 1.0× 380 1.9× 13 1.6k
Juan Lama United States 20 587 0.7× 597 0.8× 375 0.9× 317 1.3× 446 2.2× 26 1.4k

Countries citing papers authored by John Archer

Since Specialization
Citations

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

Fields of papers citing papers by John Archer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Archer

This figure shows the co-authorship network connecting the top 25 collaborators of John Archer. A scholar is included among the top collaborators of John Archer 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 John Archer. John Archer 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.
Morales, Hernán E., Cock van Oosterhout, José Vicente López‐Bao, et al.. (2025). Ancient dog introgression into the Iberian wolf genome may have facilitated adaptation to human-dominated landscapes. Genome Research. 35(3). 432–445. 1 indexed citations
2.
Carqueijeiro, Inês, et al.. (2023). The leaf idioblastome of the medicinal plantCatharanthus roseusis associated with stress resistance and alkaloid metabolism. Journal of Experimental Botany. 75(1). 274–299. 8 indexed citations
3.
Linheiro, Raquel, et al.. (2022). CView: A network based tool for enhanced alignment visualization. PLoS ONE. 17(6). e0259726–e0259726. 1 indexed citations
4.
Vonk, Freek J., Mátyás A. Bittenbinder, Harald Kerkkamp, et al.. (2021). A non-lethal method for studying scorpion venom gland transcriptomes, with a review of potentially suitable taxa to which it can be applied. PLoS ONE. 16(11). e0258712–e0258712. 4 indexed citations
5.
Linheiro, Raquel & John Archer. (2021). CStone: A de novo transcriptome assembler for short-read data that identifies non-chimeric contigs based on underlying graph structure. PLoS Computational Biology. 17(11). e1009631–e1009631. 3 indexed citations
6.
Kerkkamp, Harald, Sandra Afonso, John Archer, et al.. (2019). Transcriptome annotation and characterization of novel toxins in six scorpion species. BMC Genomics. 20(1). 645–645. 17 indexed citations
7.
Ferreira, Sónia, Nuno A. Fonseca, Bastian Egeter, et al.. (2018). Deliverable 4.2 (D4.2): Protocol for building and organising reference collections of DNA sequences, EnvMetaGen project (Grant Agreement No 668981).. Zenodo (CERN European Organization for Nuclear Research). 8 indexed citations
8.
Nielsen, Jens, John Archer, Magbubah Essack, et al.. (2017). Building a bio-based industry in the Middle East through harnessing the potential of the Red Sea biodiversity. Applied Microbiology and Biotechnology. 101(12). 4837–4851. 10 indexed citations
9.
Lorenzo-Redondo, Ramón, Helen Fryer, Trevor Bedford, et al.. (2017). Lorenzo-Redondo et al. reply. Nature. 551(7681). E10–E10. 6 indexed citations
10.
Lorenzo-Redondo, Ramón, Helen Fryer, Trevor Bedford, et al.. (2016). Persistent HIV-1 replication maintains the tissue reservoir during therapy. Nature. 530(7588). 51–56. 458 indexed citations breakdown →
11.
Archer, John, Jan Weber, Kenneth R. Henry, et al.. (2012). Use of Four Next-Generation Sequencing Platforms to Determine HIV-1 Coreceptor Tropism. PLoS ONE. 7(11). e49602–e49602. 66 indexed citations
12.
Archer, John, Gregory J. Baillie, Simon J. Watson, et al.. (2012). Analysis of high-depth sequence data for studying viral diversity: a comparison of next generation sequencing platforms using Segminator II. BMC Bioinformatics. 13(1). 47–47. 50 indexed citations
13.
Williams, Simon G., et al.. (2011). Using Knowledge of Protein Structural Constraints to Predict the Evolution of HIV-1. Journal of Molecular Biology. 410(5). 1023–1034. 5 indexed citations
14.
Archer, John, Andrew Rambaut, Bruce E. Taillon, et al.. (2010). The Evolutionary Analysis of Emerging Low Frequency HIV-1 CXCR4 Using Variants through Time—An Ultra-Deep Approach. PLoS Computational Biology. 6(12). e1001022–e1001022. 62 indexed citations
15.
Huxley‐Jones, Julie, John W. Pinney, John Archer, David L. Robertson, & Ray Boot-Handford. (2009). Back to basics – how the evolution of the extracellular matrix underpinned vertebrate evolution. International Journal of Experimental Pathology. 90(2). 95–100. 22 indexed citations
16.
Slater, Josh, et al.. (2009). Critical assessment of an in vitro bovine respiratory organ culture system: A model of bovine herpesvirus-1 infection. Journal of Virological Methods. 158(1-2). 123–129. 11 indexed citations
17.
Archer, John, Michael Braverman, Bruce E. Taillon, et al.. (2009). Detection of low-frequency pretherapy chemokine (CXC motif) receptor 4 (CXCR4)-using HIV-1 with ultra-deep pyrosequencing. AIDS. 23(10). 1209–1218. 98 indexed citations
18.
Archer, John, John W. Pinney, Jun Fan, et al.. (2008). Identifying the Important HIV-1 Recombination Breakpoints. PLoS Computational Biology. 4(9). e1000178–e1000178. 55 indexed citations
19.
Archer, John & David L. Robertson. (2007). Understanding the diversification of HIV-1 groups M and O. AIDS. 21(13). 1693–1700. 28 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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