Conor Lawless

3.6k total citations · 2 hit papers
37 papers, 2.3k citations indexed

About

Conor Lawless is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Conor Lawless has authored 37 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 9 papers in Clinical Biochemistry and 8 papers in Physiology. Recurrent topics in Conor Lawless's work include Mitochondrial Function and Pathology (13 papers), Metabolism and Genetic Disorders (9 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). Conor Lawless is often cited by papers focused on Mitochondrial Function and Pathology (13 papers), Metabolism and Genetic Disorders (9 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). Conor Lawless collaborates with scholars based in United Kingdom, United States and Australia. Conor Lawless's co-authors include Thomas von Zglinicki, Diana Jurk, Glyn Nelson, Chunfang Wang, James Wordsworth, Carmen Martín-Ruiz, João F. Passos, Mikhail A. Semenov, Laura C. Greaves and Gabriele Saretzki and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

Conor Lawless

36 papers receiving 2.2k 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.

Chronic inflammation induces telomere dysfunction and accelerates ageing in mice

2014 593 citations Diana Jurk, Caroline Wilson et al. Nature Communications profile →
A senescent cell bystander effect: senescence‐induced senescence

2012 541 citations Glyn Nelson, James Wordsworth et al. Aging Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Conor Lawless United Kingdom	18	1.1k	941	332	286	190	37	2.3k
Éric Dufour Finland	31	3.0k 2.7×	618 0.7×	360 1.1×	284 1.0×	260 1.4×	69	4.2k
Carol A. Ballinger United States	14	2.3k 2.1×	486 0.5×	426 1.3×	97 0.3×	264 1.4×	22	3.2k
Bruno Bernardes de Jesus Portugal	17	1.2k 1.1×	977 1.0×	103 0.3×	507 1.8×	95 0.5×	36	2.1k
John P. Rooney United States	28	1.5k 1.4×	188 0.2×	74 0.2×	217 0.8×	166 0.9×	59	2.7k
Jianqi Yang United States	25	1.5k 1.4×	373 0.4×	129 0.4×	60 0.2×	249 1.3×	63	2.3k
Yahui Kong United States	15	955 0.9×	281 0.3×	98 0.3×	84 0.3×	134 0.7×	28	1.7k
Zongyu Zhang China	21	654 0.6×	363 0.4×	71 0.2×	89 0.3×	91 0.5×	94	1.4k
Richard C. Davis United States	32	1.3k 1.1×	550 0.6×	191 0.6×	53 0.2×	267 1.4×	80	2.9k
Jonathan M. Dreyfuss United States	33	2.4k 2.2×	1.3k 1.4×	245 0.7×	184 0.6×	837 4.4×	74	4.4k
Roel Quintens Belgium	32	1.0k 0.9×	404 0.4×	279 0.8×	43 0.2×	254 1.3×	58	2.7k

Countries citing papers authored by Conor Lawless

Since Specialization

Citations

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

Fields of papers citing papers by Conor Lawless

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conor Lawless

This figure shows the co-authorship network connecting the top 25 collaborators of Conor Lawless. A scholar is included among the top collaborators of Conor Lawless 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 Conor Lawless. Conor Lawless 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

Lawless, Conor, Anteneh Argaw, Maude Dulac, et al.. (2025). A 12‐Week Strength Training Improves Mitochondrial Respiration, H ₂ O ₂ Emission and Skeletal Muscle Integrity in Women With Myotonic Dystrophy Type 1. Acta Physiologica. 241(12). e70135–e70135.

Milne, Paul, Conor Lawless, Gráinne S. Gorman, et al.. (2023). T cell differentiation drives the negative selection of pathogenic mitochondrial DNA variants. Life Science Alliance. 6(11). e202302271–e202302271. 7 indexed citations

Khan, Atif, et al.. (2023). NCL-SM: A Fully Annotated Dataset of Images from Human Skeletal Muscle Biopsies. 3704–3710. 1 indexed citations

Dobson, Philip F., David McDonald, Andrew Fuller, et al.. (2022). Detecting respiratory chain defects in osteoblasts from osteoarthritic patients using imaging mass cytometry. Bone. 158. 116371–116371. 12 indexed citations

Frey, Pascal M., Conor Lawless, Philipp Bühler, et al.. (2021). Quantifying Variation in Bacterial Reproductive Fitness: a High-Throughput Method. mSystems. 6(1). 6 indexed citations

Cartwright, Tyrell N., et al.. (2020). Kinase inhibition profiles as a tool to identify kinases for specific phosphorylation sites. Nature Communications. 11(1). 1684–1684. 18 indexed citations

McDonald, David, Roderick Capaldi, David J. Deehan, et al.. (2020). Decoding mitochondrial heterogeneity in single muscle fibres by imaging mass cytometry. Scientific Reports. 10(1). 15336–15336. 18 indexed citations

Vincent, Amy E., Kathryn White, Tracey Davey, et al.. (2019). Quantitative 3D Mapping of the Human Skeletal Muscle Mitochondrial Network. Cell Reports. 26(4). 996–1009.e4. 137 indexed citations

Ngo, Hien-Ping, et al.. (2017). Systematic Analysis of the DNA Damage Response Network in Telomere Defective Budding Yeast. G3 Genes Genomes Genetics. 7(7). 2375–2389. 3 indexed citations

10.

Lawless, Conor, et al.. (2017). Genome-Wide Quantitative Fitness Analysis (QFA) of Yeast Cultures. Methods in molecular biology. 1672. 575–597. 1 indexed citations

11.

Lawless, Conor, et al.. (2015). Quantitative Fitness Analysis Identifies exo1∆ and Other Suppressors or Enhancers of Telomere Defects in Schizosaccharomyces pombe. PLoS ONE. 10(7). e0132240–e0132240. 5 indexed citations

12.

Jurk, Diana, Caroline Wilson, João F. Passos, et al.. (2014). Chronic inflammation induces telomere dysfunction and accelerates ageing in mice. Nature Communications. 5(1). 4172–4172. 593 indexed citations breakdown →

13.

Lawless, Conor, et al.. (2014). Fast Bayesian parameter estimation for stochastic logistic growth models. Biosystems. 122. 55–72. 14 indexed citations

14.

Nelson, Glyn, James Wordsworth, Chunfang Wang, et al.. (2012). A senescent cell bystander effect: senescence‐induced senescence. Aging Cell. 11(2). 345–349. 541 indexed citations breakdown →

15.

Lawless, Conor, Diana Jurk, Colin S. Gillespie, et al.. (2012). A Stochastic Step Model of Replicative Senescence Explains ROS Production Rate in Ageing Cell Populations. PLoS ONE. 7(2). e32117–e32117. 53 indexed citations

16.

Addinall, Stephen G., Conor Lawless, Min Yu, et al.. (2011). Quantitative Fitness Analysis Shows That NMD Proteins and Many Other Protein Complexes Suppress or Enhance Distinct Telomere Cap Defects. PLoS Genetics. 7(4). e1001362–e1001362. 59 indexed citations

17.

Lawless, Conor, et al.. (2010). Quantitative assessment of markers for cell senescence. Experimental Gerontology. 45(10). 772–778. 185 indexed citations

18.

Lawless, Conor, et al.. (2010). Colonyzer: automated quantification of micro-organism growth characteristics on solid agar. BMC Bioinformatics. 11(1). 287–287. 55 indexed citations

19.

Chen, Yuhui, et al.. (2010). CaliBayes and BASIS: integrated tools for the calibration, simulation and storage of biological simulation models. Briefings in Bioinformatics. 11(3). 278–289. 17 indexed citations

20.

Miwa, Satomi, Conor Lawless, & Thomas von Zglinicki. (2008). Mitochondrial turnover in liver is fast in vivo and is accelerated by dietary restriction: application of a simple dynamic model. Aging Cell. 7(6). 920–923. 90 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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