Niall J. Lennon

41.6k total citations · 3 hit papers
66 papers, 8.3k citations indexed

About

Niall J. Lennon is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Niall J. Lennon has authored 66 papers receiving a total of 8.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Cancer Research and 12 papers in Infectious Diseases. Recurrent topics in Niall J. Lennon's work include Cancer Genomics and Diagnostics (16 papers), Mosquito-borne diseases and control (12 papers) and Malaria Research and Control (10 papers). Niall J. Lennon is often cited by papers focused on Cancer Genomics and Diagnostics (16 papers), Mosquito-borne diseases and control (12 papers) and Malaria Research and Control (10 papers). Niall J. Lennon collaborates with scholars based in United States, United Kingdom and Ireland. Niall J. Lennon's co-authors include John L. Rinn, Davide Cacchiarelli, Prapti Pokharel, Tarjei S. Mikkelsen, Shuqiang Li, Jonna Grimsby, Michael Morse, Cole Trapnell, Kenneth J. Livak and Chad Nusbaum and has published in prestigious journals such as Science, Journal of Biological Chemistry and Neuron.

In The Last Decade

Niall J. Lennon

66 papers receiving 8.2k 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.

The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells

2014 4.0k citations Niall J. Lennon et al. profile →
Characterizing and measuring bias in sequence data

2013 575 citations Michael Ross, Carsten Russ et al. Genome biology profile →
Accurate Estimation of Fungal Diversity and Abundance through Improved Lineage-Specific Primers Optimized for Illumina Amplicon Sequencing

2016 327 citations D. Lee Taylor, Niall J. Lennon et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Niall J. Lennon United States	30	4.4k	1.3k	991	944	925	66	8.3k
Helmut Blum Germany	43	5.2k 1.2×	1.5k 1.1×	1.3k 1.3×	617 0.7×	487 0.5×	149	9.9k
Yutaka Suzuki Japan	50	6.1k 1.4×	1.4k 1.0×	1.2k 1.2×	1.0k 1.1×	243 0.3×	318	9.8k
Matthias Schlesner Germany	24	4.8k 1.1×	1.3k 1.0×	1.1k 1.1×	1.3k 1.4×	371 0.4×	94	9.7k
Anushya Muruganujan United States	14	8.0k 1.8×	1.3k 1.0×	1.3k 1.4×	1.6k 1.7×	389 0.4×	17	12.8k
Isabelle Callebaut France	59	7.9k 1.8×	2.5k 1.9×	765 0.8×	726 0.8×	623 0.7×	239	12.9k
Anthony T. Papenfuss Australia	45	3.5k 0.8×	1.8k 1.3×	342 0.3×	1.1k 1.2×	321 0.3×	158	7.2k
Shuangbin Xu China	15	5.0k 1.1×	1.5k 1.1×	971 1.0×	1.4k 1.5×	361 0.4×	30	9.1k
Huaiyu Mi United States	23	8.5k 1.9×	1.3k 1.0×	1.2k 1.2×	1.6k 1.7×	376 0.4×	41	13.6k
Páll Melsted Iceland	17	5.7k 1.3×	963 0.7×	1.6k 1.6×	877 0.9×	390 0.4×	32	9.4k
Zehan Dai China	9	4.4k 1.0×	1.4k 1.0×	958 1.0×	1.3k 1.4×	305 0.3×	18	8.1k

Countries citing papers authored by Niall J. Lennon

Since Specialization

Citations

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

Fields of papers citing papers by Niall J. Lennon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Niall J. Lennon. 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 Niall J. Lennon. The network helps show where Niall J. Lennon may publish in the future.

Co-authorship network of co-authors of Niall J. Lennon

This figure shows the co-authorship network connecting the top 25 collaborators of Niall J. Lennon. A scholar is included among the top collaborators of Niall J. Lennon 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 Niall J. Lennon. Niall J. Lennon 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

Tinoco, Gabriel, Junko Tsuji, Dwight H. Owen, et al.. (2024). Assay Validation of Cell-Free DNA Shallow Whole-Genome Sequencing to Determine Tumor Fraction in Advanced Cancers. Journal of Molecular Diagnostics. 26(5). 413–422. 10 indexed citations

Yu, Zhi, Tim Coorens, Md Mesbah Uddin, et al.. (2024). Genetic variation across and within individuals. Nature Reviews Genetics. 25(8). 548–562. 20 indexed citations

Deveson, Ira W., Bindu Swapna Madala, Ted Wong, et al.. (2022). Using synthetic chromosome controls to evaluate the sequencing of difficult regions within the human genome. Genome biology. 23(1). 19–19. 5 indexed citations

Pollock, Nira R., Jesica R. Jacobs, Claire O’Kane, et al.. (2021). Performance and Operational Evaluation of the Access Bio CareStart Rapid Antigen Test in a High-Throughput Drive-Through Community Testing Site in Massachusetts. Open Forum Infectious Diseases. 8(7). ofab243–ofab243. 20 indexed citations

Weber, Zachary, Katharine A. Collier, Juliet Forman, et al.. (2021). Modeling clonal structure over narrow time frames via circulating tumor DNA in metastatic breast cancer. Genome Medicine. 13(1). 89–89. 13 indexed citations

Brockman, Deanna, L Petronio, Jacqueline S. Dron, et al.. (2021). Design and user experience testing of a polygenic score report: a qualitative study of prospective users. BMC Medical Genomics. 14(1). 238–238. 36 indexed citations

Marshall, Christian R., Shimul Chowdhury, Ryan J. Taft, et al.. (2020). Best practices for the analytical validation of clinical whole-genome sequencing intended for the diagnosis of germline disease. npj Genomic Medicine. 5(1). 47–47. 85 indexed citations

Butler, Matt, Yves Konigshofer, Omoshile Clement, et al.. (2019). Tumor mutational burden reference materials for assay standardization.. Journal of Clinical Oncology. 37(15_suppl). e14746–e14746. 1 indexed citations

Taylor‐Weiner, Amaro, Chip Stewart, Thomas J. Giordano, et al.. (2018). DeTiN: overcoming tumor-in-normal contamination. Nature Methods. 15(7). 531–534. 27 indexed citations

10.

Ross, Michael, Carsten Russ, Maura Costello, et al.. (2013). Characterizing and measuring bias in sequence data. Genome biology. 14(5). R51–R51. 575 indexed citations breakdown →

11.

Taylor, D. Lee, Teresa N. Hollingsworth, Jack W. McFarland, et al.. (2013). A first comprehensive census of fungi in soil reveals both hyperdiversity and fine‐scale niche partitioning. Ecological Monographs. 84(1). 3–20. 248 indexed citations

12.

Newman, Ruchi M., Thomas Kuntzen, Brian Weiner, et al.. (2012). Whole Genome Pyrosequencing of Rare Hepatitis C Virus Genotypes Enhances Subtype Classification and Identification of Naturally Occurring Drug Resistance Variants. The Journal of Infectious Diseases. 208(1). 17–31. 29 indexed citations

13.

McLaren, Paul J., Stephan Ripke, Kimberly Pelak, et al.. (2012). Fine-mapping classical HLA variation associated with durable host control of HIV-1 infection in African Americans. Human Molecular Genetics. 21(19). 4334–4347. 44 indexed citations

14.

Pesko, Kendra, Kelly A. Fitzpatrick, Elizabeth M. Ryan, et al.. (2012). Internally deleted WNV genomes isolated from exotic birds in New Mexico: Function in cells, mosquitoes, and mice. Virology. 427(1). 10–17. 34 indexed citations

15.

Erlich, Rachel, Xiaoming Jia, Scott Anderson, et al.. (2011). Next-generation sequencing for HLA typing of class I loci. BMC Genomics. 12(1). 42–42. 110 indexed citations

16.

Raghwani, Jayna, Andrew Rambaut, Edward C. Holmes, et al.. (2011). Endemic Dengue Associated with the Co-Circulation of Multiple Viral Lineages and Localized Density-Dependent Transmission. PLoS Pathogens. 7(6). e1002064–e1002064. 87 indexed citations

17.

Geml, József, Gary A. Laursen, Ian Herriott, et al.. (2010). Phylogenetic and ecological analyses of soil and sporocarp DNA sequences reveal high diversity and strong habitat partitioning in the boreal ectomycorrhizal genus Russula (Russulales; Basidiomycota). New Phytologist. 187(2). 494–507. 48 indexed citations

18.

Garber, Manuel, Michael C. Zody, Harindra Arachchi, et al.. (2009). Closing gaps in the human genome using sequencing by synthesis. Genome biology. 10(6). R60–R60. 19 indexed citations

19.

Geml, József, Gary A. Laursen, Ina Timling, et al.. (2009). Molecular phylogenetic biodiversity assessment of arctic and boreal ectomycorrhizal Lactarius Pers. (Russulales; Basidiomycota) in Alaska, based on soil and sporocarp DNA. Molecular Ecology. 18(10). 2213–2227. 56 indexed citations

20.

Pasinelli, Piera, Niall J. Lennon, Brian J. Bacskai, et al.. (2004). Amyotrophic Lateral Sclerosis-Associated SOD1 Mutant Proteins Bind and Aggregate with Bcl-2 in Spinal Cord Mitochondria. Neuron. 43(1). 19–30. 399 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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