Adrian W. Briggs

14.9k total citations · 7 hit papers
28 papers, 3.6k citations indexed

About

Adrian W. Briggs is a scholar working on Molecular Biology, Genetics and Anthropology. According to data from OpenAlex, Adrian W. Briggs has authored 28 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Genetics and 7 papers in Anthropology. Recurrent topics in Adrian W. Briggs's work include Forensic and Genetic Research (11 papers), Genomics and Phylogenetic Studies (7 papers) and Pleistocene-Era Hominins and Archaeology (7 papers). Adrian W. Briggs is often cited by papers focused on Forensic and Genetic Research (11 papers), Genomics and Phylogenetic Studies (7 papers) and Pleistocene-Era Hominins and Archaeology (7 papers). Adrian W. Briggs collaborates with scholars based in United States, Germany and United Kingdom. Adrian W. Briggs's co-authors include Johannes Krause, Svante Pääbo, Richard E. Green, Udo Stenzel, Matthias Meyer, M. T. Ronan, Martin Kircher, Michael Lachmann, Tomislav Maričić and Kay Prüfer and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Adrian W. Briggs

28 papers receiving 3.5k citations

Hit Papers

Patterns of damage in genomic DNA sequences from a Neande... 2006 2026 2012 2019 2007 2006 2009 2009 2010 200 400 600

Peers

Adrian W. Briggs
Udo Stenzel Germany
Anne C. Stone United States
Michael Knapp New Zealand
Swapan Mallick United States
Udo Stenzel Germany
Adrian W. Briggs
Citations per year, relative to Adrian W. Briggs Adrian W. Briggs (= 1×) peers Udo Stenzel

Countries citing papers authored by Adrian W. Briggs

Since Specialization
Citations

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

Fields of papers citing papers by Adrian W. Briggs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adrian W. Briggs. 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 Adrian W. Briggs. The network helps show where Adrian W. Briggs may publish in the future.

Co-authorship network of co-authors of Adrian W. Briggs

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian W. Briggs. A scholar is included among the top collaborators of Adrian W. Briggs 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 Adrian W. Briggs. Adrian W. Briggs 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.
Burleigh, Stephen, Robert Fragoza, Yue Jiang, et al.. (2025). An engineered U7 small nuclear RNA scaffold greatly increases ADAR-mediated programmable RNA base editing. Nature Communications. 16(1). 4860–4860. 3 indexed citations
2.
Carter, Jason A., Jonathan Preall, Kristina Grigaityte, et al.. (2019). Single T Cell Sequencing Demonstrates the Functional Role of αβ TCR Pairing in Cell Lineage and Antigen Specificity. Frontiers in Immunology. 10. 1516–1516. 63 indexed citations
3.
Johnstone, Timothy G., David Koppstein, Ronald J. Hause, et al.. (2018). Abstract 1541: Directed, unbiased mapping of lentiviral integrations with next generation sequencing in CAR-T cells. Cancer Research. 78(13_Supplement). 1541–1541. 1 indexed citations
4.
Gupta, Namita T., et al.. (2017). Hierarchical Clustering Can Identify B Cell Clones with High Confidence in Ig Repertoire Sequencing Data. The Journal of Immunology. 198(6). 2489–2499. 84 indexed citations
5.
Cui, Ang, Roberto Di Niro, Jason A. Vander Heiden, et al.. (2016). A Model of Somatic Hypermutation Targeting in Mice Based on High-Throughput Ig Sequencing Data. The Journal of Immunology. 197(9). 3566–3574. 47 indexed citations
6.
Carmody, Rachel N., Michael Dannemann, Adrian W. Briggs, et al.. (2016). Genetic Evidence of Human Adaptation to a Cooked Diet. Genome Biology and Evolution. 8(4). 1091–1103. 21 indexed citations
7.
Yang, Luhan, Adrian W. Briggs, Wei Leong Chew, et al.. (2016). Engineering and optimising deaminase fusions for genome editing. Nature Communications. 7(1). 13330–13330. 61 indexed citations
8.
Tsioris, Konstantinos, Namita T. Gupta, Adebola O. Ogunniyi, et al.. (2015). Neutralizing antibodies against West Nile virus identified directly from human B cells by single-cell analysis and next generation sequencing. Integrative Biology. 7(12). 1587–1597. 48 indexed citations
9.
Rios, Xavier, Adrian W. Briggs, Danos C. Christodoulou, et al.. (2012). Stable Gene Targeting in Human Cells Using Single-Strand Oligonucleotides with Modified Bases. PLoS ONE. 7(5). e36697–e36697. 25 indexed citations
10.
Briggs, Adrian W. & Patricia Heyn. (2011). Preparation of Next-Generation Sequencing Libraries from Damaged DNA. Methods in molecular biology. 840. 143–154. 25 indexed citations
11.
Briggs, Adrian W.. (2011). Rapid Retrieval of DNA Target Sequences by Primer Extension Capture. Methods in molecular biology. 772. 145–154. 2 indexed citations
12.
Krause, Johannes, Adrian W. Briggs, Martin Kircher, et al.. (2010). A Complete mtDNA Genome of an Early Modern Human from Kostenki, Russia. Current Biology. 20(3). 231–236. 192 indexed citations breakdown →
13.
Heyn, Patricia, Udo Stenzel, Adrian W. Briggs, et al.. (2010). Road blocks on paleogenomes—polymerase extension profiling reveals the frequency of blocking lesions in ancient DNA. Nucleic Acids Research. 38(16). e161–e161. 42 indexed citations
14.
Burbano, Hernán A., Emily Hodges, Richard E. Green, et al.. (2010). Targeted Investigation of the Neandertal Genome by Array-Based Sequence Capture. Science. 328(5979). 723–725. 202 indexed citations breakdown →
15.
Briggs, Adrian W., Jeffrey M. Good, Richard E. Green, et al.. (2009). Primer Extension Capture: Targeted Sequence Retrieval from Heavily Degraded DNA Sources. Journal of Visualized Experiments. 1573–1573. 29 indexed citations
16.
Briggs, Adrian W., Udo Stenzel, Matthias Meyer, et al.. (2009). Removal of deaminated cytosines and detection of in vivo methylation in ancient DNA. Nucleic Acids Research. 38(6). e87–e87. 293 indexed citations breakdown →
17.
Green, Richard E., Adrian W. Briggs, Johannes Krause, et al.. (2009). The Neandertal genome and ancient DNA authenticity. The EMBO Journal. 28(17). 2494–2502. 128 indexed citations breakdown →
18.
Krause, Johannes, Tina Unger, Anna‐Sapfo Malaspinas, et al.. (2008). Mitochondrial genomes reveal an explosive radiation of extinct and extant bears near the Miocene-Pliocene boundary. BMC Evolutionary Biology. 8(1). 220–220. 200 indexed citations
19.
Meyer, Matthias, Adrian W. Briggs, Tomislav Maričić, et al.. (2007). From micrograms to picograms: quantitative PCR reduces the material demands of high-throughput sequencing. Nucleic Acids Research. 36(1). e5–e5. 98 indexed citations
20.
Green, Richard E., Johannes Krause, Susan E. Ptak, et al.. (2006). Analysis of one million base pairs of Neanderthal DNA. Nature. 444(7117). 330–336. 445 indexed citations breakdown →

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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