Lachlan Coin

70.9k total citations · 2 hit papers
116 papers, 6.1k citations indexed

About

Lachlan Coin is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Lachlan Coin has authored 116 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 31 papers in Genetics and 25 papers in Infectious Diseases. Recurrent topics in Lachlan Coin's work include Genomics and Phylogenetic Studies (31 papers), Genomic variations and chromosomal abnormalities (18 papers) and Tuberculosis Research and Epidemiology (16 papers). Lachlan Coin is often cited by papers focused on Genomics and Phylogenetic Studies (31 papers), Genomic variations and chromosomal abnormalities (18 papers) and Tuberculosis Research and Epidemiology (16 papers). Lachlan Coin collaborates with scholars based in Australia, United Kingdom and China. Lachlan Coin's co-authors include Nazneen Rahman, Tim Hubbard, Thomas A. Down, P. Andrew Futreal, Mhairi Marshall, Michael R. Stratton, Richard Wooster, Marjo‐Riitta Järvelin, Minh Duc Cao and Son Hoang Nguyen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Lachlan Coin

113 papers receiving 6.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A census of human cancer genes

2004 2.2k citations Lachlan Coin et al. profile →
Genetic variability in the regulation of gene expression in ten regions of the human brain

2014 410 citations Lachlan Coin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lachlan Coin Australia	34	3.6k	1.5k	1.2k	451	359	116	6.1k
Jean Muller France	31	5.7k 1.6×	1.8k 1.2×	702 0.6×	374 0.8×	331 0.9×	93	8.4k
Wei Sun United States	23	3.1k 0.9×	948 0.6×	943 0.8×	446 1.0×	234 0.7×	124	4.6k
Gabriela Vaz Meirelles Brazil	16	3.9k 1.1×	651 0.4×	947 0.8×	624 1.4×	277 0.8×	18	6.7k
Lei Du China	37	3.4k 1.0×	823 0.6×	599 0.5×	189 0.4×	470 1.3×	115	6.0k
Michael L. Metzker United States	23	5.0k 1.4×	1.8k 1.2×	786 0.6×	293 0.6×	304 0.8×	35	7.6k
Sascha Sauer Germany	44	3.7k 1.0×	628 0.4×	613 0.5×	505 1.1×	176 0.5×	119	6.6k
Yongwook Choi United States	21	2.8k 0.8×	1.6k 1.1×	386 0.3×	328 0.7×	269 0.7×	40	5.0k
Liu Z China	43	4.9k 1.4×	1.2k 0.8×	818 0.7×	304 0.7×	246 0.7×	519	8.0k
Zhijin Wu United States	29	4.3k 1.2×	1.0k 0.7×	776 0.6×	391 0.9×	145 0.4×	85	6.3k

Countries citing papers authored by Lachlan Coin

Since Specialization

Citations

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

Fields of papers citing papers by Lachlan Coin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lachlan Coin

This figure shows the co-authorship network connecting the top 25 collaborators of Lachlan Coin. A scholar is included among the top collaborators of Lachlan Coin 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 Lachlan Coin. Lachlan Coin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhao, Jiawei, Jake O’Brien, Lachlan Coin, et al.. (2025). Impact of human lifestyle on the pathogenic potential of urban wastewater. Environmental Research. 286(Pt 1). 122591–122591.

Chang, Jessie J.‐Y., Xuan Yang, Haotian Teng, et al.. (2025). Using synthetic RNA to benchmark poly(A) length inference from direct RNA sequencing. GigaScience. 14.

Bainomugisa, Arnold, Sushil Pandey, Melanie W. Syrmis, et al.. (2024). Sustained transmission over two decades of a previously unrecognised MPT64 negative Mycobacterium tuberculosis strain in Queensland, Australia: a whole genome sequencing study. The Lancet Regional Health - Western Pacific. 47. 101105–101105. 3 indexed citations

Hall, Michael B., Ryan R. Wick, Louise M. Judd, et al.. (2024). Benchmarking reveals superiority of deep learning variant callers on bacterial nanopore sequence data. eLife. 13. 7 indexed citations

Hall, Michael B. & Lachlan Coin. (2024). Pangenome databases improve host removal and mycobacteria classification from clinical metagenomic data. GigaScience. 13. 7 indexed citations

Guo, Xudong, Heyun Sun, Yue Bi, et al.. (2024). MERITS: a web-based integrated Mycobacterial PE/PPE protein database. Bioinformatics Advances. 4(1). vbae035–vbae035. 1 indexed citations

Harris, Patrick N. A., Michelle J. Bauer, Stephan Beisken, et al.. (2024). Rapid nanopore sequencing and predictive susceptibility testing of positive blood cultures from intensive care patients with sepsis. Microbiology Spectrum. 12(2). e0306523–e0306523. 15 indexed citations

Chen, Ruyi, Fuyi Li, Xudong Guo, et al.. (2023). ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species. Briefings in Bioinformatics. 24(3). 18 indexed citations

Hall, Michael B., Leandro Lima, Lachlan Coin, & Zamin Iqbal. (2023). Drug resistance prediction for Mycobacterium tuberculosis with reference graphs. Microbial Genomics. 9(8). 4 indexed citations

10.

Murigneux, Valentine, Agnelo Furtado, Timothy J. C. Bruxner, et al.. (2020). Comparison of long-read methods for sequencing and assembly of a plant genome. GigaScience. 9(12). 67 indexed citations

11.

Shimizu, Chisato, Jihoon Kim, Hariklia Eleftherohorinou, et al.. (2019). HLA-C variants associated with amino acid substitutions in the peptide binding groove influence susceptibility to Kawasaki disease. Human Immunology. 80(9). 731–738. 7 indexed citations

12.

Georgiadou, Athina, Hyun Jae Lee, Michael Walther, et al.. (2019). Modelling pathogen load dynamics to elucidate mechanistic determinants of host–Plasmodium falciparum interactions. Nature Microbiology. 4(9). 1592–1602. 16 indexed citations

13.

Bainomugisa, Arnold, Tânia Duarte, Evelyn Lavu, et al.. (2018). A complete high-quality MinION nanopore assembly of an extensively drug-resistant Mycobacterium tuberculosis Beijing lineage strain identifies novel variation in repetitive PE/PPE gene regions. Microbial Genomics. 4(7). 45 indexed citations

14.

Pitt, Miranda E., Alysha G. Elliott, Minh Duc Cao, et al.. (2018). Multifactorial chromosomal variants regulate polymyxin resistance in extensively drug-resistant Klebsiella pneumoniae. Microbial Genomics. 4(3). 54 indexed citations

15.

Pitt, Miranda E., Minh Duc Cao, Mark S. Butler, et al.. (2018). Octapeptin C4 and polymyxin resistance occur via distinct pathways in an epidemic XDR Klebsiella pneumoniae ST258 isolate. Journal of Antimicrobial Chemotherapy. 74(3). 582–593. 14 indexed citations

16.

Teng, Haotian, Minh Duc Cao, Michael B. Hall, et al.. (2018). Chiron: translating nanopore raw signal directly into nucleotide sequence using deep learning. GigaScience. 7(5). 112 indexed citations

17.

Shao, Haojing, Devika Ganesamoorthy, Tânia Duarte, et al.. (2018). npInv: accurate detection and genotyping of inversions using long read sub-alignment. BMC Bioinformatics. 19(1). 261–261. 31 indexed citations

18.

Cao, Minh Duc, Devika Ganesamoorthy, Chenxi Zhou, & Lachlan Coin. (2017). Simulating the dynamics of targeted capture sequencing with CapSim. Bioinformatics. 34(5). 873–874. 9 indexed citations

19.

Nguyen, Son Hoang, Tânia Duarte, Lachlan Coin, & Minh Duc Cao. (2017). Real-time demultiplexing Nanopore barcoded sequencing data with npBarcode. Bioinformatics. 33(24). 3988–3990. 3 indexed citations

20.

Cao, Minh Duc, Devika Ganesamoorthy, Alysha G. Elliott, et al.. (2016). Streaming algorithms for identification pathogens and antibiotic resistance potential from real-time MinION™ sequencing. GigaScience. 5(1). 32–32. 63 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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