Andy G. Lynch

31.2k total citations · 1 hit paper
63 papers, 3.0k citations indexed

About

Andy G. Lynch is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Andy G. Lynch has authored 63 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Pulmonary and Respiratory Medicine and 11 papers in Genetics. Recurrent topics in Andy G. Lynch's work include Gene expression and cancer classification (13 papers), Single-cell and spatial transcriptomics (7 papers) and Epigenetics and DNA Methylation (7 papers). Andy G. Lynch is often cited by papers focused on Gene expression and cancer classification (13 papers), Single-cell and spatial transcriptomics (7 papers) and Epigenetics and DNA Methylation (7 papers). Andy G. Lynch collaborates with scholars based in United Kingdom, United States and Australia. Andy G. Lynch's co-authors include Simon Tavaré, Mark Dunning, Charles Massie, Nuno L. Barbosa‐Morais, Ian G. Mills, Matthew E. Ritchie, Carlos Caldas, James D. Brenton, Ahmed A. Ahmed and Colin J.R. Stewart and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

Andy G. Lynch

62 papers receiving 2.9k citations

Hit Papers

Driver mutations in TP53 are ubiquitous in high grade ser... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andy G. Lynch United Kingdom 26 1.4k 652 586 461 377 63 3.0k
Lennart Friis‐Hansen Denmark 35 1.8k 1.3× 939 1.4× 709 1.2× 424 0.9× 715 1.9× 149 4.6k
Yusuke Kobayashi Japan 31 1.3k 0.9× 658 1.0× 344 0.6× 280 0.6× 532 1.4× 232 3.4k
Cecilia Lindskog Sweden 29 2.3k 1.6× 615 0.9× 497 0.8× 568 1.2× 528 1.4× 95 4.3k
Takahiro Nakayama Japan 32 887 0.6× 600 0.9× 423 0.7× 283 0.6× 782 2.1× 206 3.1k
Raffaele Palmirotta Italy 34 1.2k 0.9× 863 1.3× 506 0.9× 333 0.7× 1.2k 3.1× 164 3.8k
Anja van de Stolpe Netherlands 27 1.3k 0.9× 673 1.0× 283 0.5× 408 0.9× 779 2.1× 83 3.3k
Jae‐Ho Lee South Korea 31 1.6k 1.1× 607 0.9× 403 0.7× 160 0.3× 585 1.6× 236 3.4k
Liang‐Chuan Lai Taiwan 30 2.4k 1.6× 1.0k 1.6× 343 0.6× 287 0.6× 386 1.0× 146 3.4k
Kazutoshi Fujita Japan 39 2.1k 1.5× 1.0k 1.5× 1.6k 2.7× 267 0.6× 892 2.4× 262 5.1k
Tilman T. Rau Germany 33 1.1k 0.8× 623 1.0× 468 0.8× 462 1.0× 1.0k 2.8× 113 3.8k

Countries citing papers authored by Andy G. Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Andy G. Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andy G. Lynch. 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 Andy G. Lynch. The network helps show where Andy G. Lynch may publish in the future.

Co-authorship network of co-authors of Andy G. Lynch

This figure shows the co-authorship network connecting the top 25 collaborators of Andy G. Lynch. A scholar is included among the top collaborators of Andy G. Lynch 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 Andy G. Lynch. Andy G. Lynch 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.
Stathakopoulos, Anastasios, et al.. (2025). Acute heat stress and the extirpation of a threatened coral species from a remote, subtropical reef system. Coral Reefs. 44(3). 1023–1030. 3 indexed citations
2.
Lleshi, Ermira, Robert L. Hanson, Radosław Lach, et al.. (2024). Prostate cancer detection through unbiased capture of methylated cell-free DNA. iScience. 27(7). 110330–110330. 5 indexed citations
3.
Maldonado‐Barragán, Antonio, Stephen E. Mshana, Katherine Keenan, et al.. (2023). Predominance of multidrug-resistant bacteria causing urinary tract infections among symptomatic patients in East Africa: a call for action. JAC-Antimicrobial Resistance. 6(1). dlae019–dlae019. 7 indexed citations
4.
Synowsky, Silvia A., Margaret R. Dunne, Noel E. Donlon, et al.. (2022). Identification of plasma proteins associated with oesophageal cancer chemotherapeutic treatment outcomes using SWATH-MS. Journal of Proteomics. 266. 104684–104684. 3 indexed citations
6.
Williams, Edward H., Thomas R. Flint, Claire M. Connell, et al.. (2020). CamGFR v2: A New Model for Estimating the Glomerular Filtration Rate from Standardized or Non-standardized Creatinine in Patients with Cancer. Clinical Cancer Research. 27(5). 1381–1390. 7 indexed citations
7.
Dunning, Mark, Sarah L. Vowler, Emilie Lalonde, et al.. (2017). Mining Human Prostate Cancer Datasets: The “camcAPP” Shiny App. EBioMedicine. 17. 5–6. 21 indexed citations
8.
Noorani, Ayesha, Jan Bornschein, Andy G. Lynch, et al.. (2017). A comparative analysis of whole genome sequencing of esophageal adenocarcinoma pre- and post-chemotherapy. Genome Research. 27(6). 902–912. 19 indexed citations
9.
Lynch, Andy G., et al.. (2015). multiSNV: a probabilistic approach for improving detection of somatic point mutations from multiple related tumour samples. Nucleic Acids Research. 43(9). e61–e61. 24 indexed citations
10.
Ahmed, Ahmed A., Dariush Etemadmoghadam, Jillian Temple, et al.. (2010). Driver mutations in TP53 are ubiquitous in high grade serous carcinoma of the ovary. The Journal of Pathology. 221(1). 49–56. 508 indexed citations breakdown →
11.
Lynch, Andy G., James Hadfield, Mark Dunning, et al.. (2010). The cost of reducing starting RNA quantity for Illumina BeadArrays: A bead-level dilution experiment. BMC Genomics. 11(1). 540–540. 4 indexed citations
12.
Smith, Mike L., Mark Dunning, Simon Tavaré, & Andy G. Lynch. (2010). Identification and correction of previously unreported spatial phenomena using raw Illumina BeadArray data. BMC Bioinformatics. 11(1). 208–208. 8 indexed citations
13.
Dunning, Mark, Matthew E. Ritchie, Nuno L. Barbosa‐Morais, Simon Tavaré, & Andy G. Lynch. (2008). Spike-in validation of an Illumina-specific variance-stabilizing transformation. BMC Research Notes. 1(1). 18–18. 13 indexed citations
14.
Dunning, Mark, Nuno L. Barbosa‐Morais, Andy G. Lynch, Simon Tavaré, & Matthew E. Ritchie. (2008). Statistical issues in the analysis of Illumina data. BMC Bioinformatics. 9(1). 85–85. 89 indexed citations
15.
Walsh, Stewart R., Jonathan R. Boyle, Andy G. Lynch, et al.. (2008). Suprarenal endograft fixation and medium-term renal function: Systematic review and meta-analysis. Journal of Vascular Surgery. 47(6). 1364–1370.e1. 46 indexed citations
16.
Fanshawe, Thomas, Andy G. Lynch, Ian O. Ellis, Andrew R. Green, & R. Hanka. (2008). Assessing Agreement between Multiple Raters with Missing Rating Information, Applied to Breast Cancer Tumour Grading. PLoS ONE. 3(8). e2925–e2925. 13 indexed citations
17.
Burnet, N.G., Andy G. Lynch, Sarah Jefferies, et al.. (2007). High grade glioma: Imaging combined with pathological grade defines management and predicts prognosis. Radiotherapy and Oncology. 85(3). 371–378. 31 indexed citations
18.
Marioni, John C., Natalie Thorne, Armand Valsesia, et al.. (2007). Breaking the waves: improved detection of copy number variation from microarray-based comparative genomic hybridization. Genome biology. 8(10). R228–R228. 101 indexed citations
19.
Lynch, Andy G., et al.. (2007). Missing channels in two-colour microarray experiments: Combining single-channel and two-channel data. BMC Bioinformatics. 8(1). 26–26. 3 indexed citations
20.
Lynch, Andy G., Donna K. Arnett, Larry D. Atwood, et al.. (2005). A Genome Scan for Linkage With Aortic Root Diameter in Hypertensive African Americans and Whites in the Hypertension Genetic Epidemiology Network (HyperGEN) Study. American Journal of Hypertension. 18(5). 627–632. 4 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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