Marκ McLaughlin

3.3k total citations · 1 hit paper
73 papers, 2.4k citations indexed

About

Marκ McLaughlin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Marκ McLaughlin has authored 73 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 15 papers in Developmental Neuroscience. Recurrent topics in Marκ McLaughlin's work include Neurogenesis and neuroplasticity mechanisms (14 papers), Neuroscience and Neuropharmacology Research (8 papers) and Hereditary Neurological Disorders (6 papers). Marκ McLaughlin is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (14 papers), Neuroscience and Neuropharmacology Research (8 papers) and Hereditary Neurological Disorders (6 papers). Marκ McLaughlin collaborates with scholars based in United Kingdom, United States and Croatia. Marκ McLaughlin's co-authors include Ian R. Griffiths, Albert L. Siu, Gretchen M. Orosz, M S Gilbert, Eric J. Strauss, Jay Magaziner, R. Sean Morrison, Kenneth J. Koval, Jennifer A. Barrie and Julia M. Edgar and has published in prestigious journals such as Journal of Neuroscience, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Marκ McLaughlin

71 papers receiving 2.4k 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.

Relationship Between Pain and Opioid Analgesics on the Development of Delirium Following Hip Fracture

2003 565 citations Marκ McLaughlin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marκ McLaughlin United Kingdom	24	744	529	494	326	306	73	2.4k
Xia Feng China	27	612 0.8×	305 0.6×	155 0.3×	248 0.8×	281 0.9×	129	1.8k
Robert H. Garman United States	32	448 0.6×	284 0.5×	406 0.8×	278 0.9×	144 0.5×	105	3.0k
Gregory A. Dissen United States	44	1.2k 1.6×	1.7k 3.2×	760 1.5×	1.1k 3.4×	268 0.9×	84	5.4k
Robert N. Spengler United States	28	775 1.0×	82 0.2×	713 1.4×	92 0.3×	287 0.9×	48	3.3k
Hong Yang China	33	1.6k 2.2×	437 0.8×	858 1.7×	52 0.2×	218 0.7×	111	3.7k
Michael R. Johnson United Kingdom	30	903 1.2×	50 0.1×	391 0.8×	398 1.2×	230 0.8×	69	4.1k
Martha Neuringer United States	26	1.1k 1.4×	174 0.3×	161 0.3×	108 0.3×	150 0.5×	63	3.0k
Virginia M. Sanders United States	38	1.2k 1.6×	289 0.5×	1.1k 2.1×	78 0.2×	187 0.6×	111	5.7k
Bjørnar Hassel Norway	37	1.5k 2.0×	243 0.5×	1.5k 3.0×	80 0.2×	172 0.6×	94	3.8k
Wen Zhang China	27	1.1k 1.5×	117 0.2×	670 1.4×	95 0.3×	106 0.3×	108	2.8k

Countries citing papers authored by Marκ McLaughlin

Since Specialization

Citations

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

Fields of papers citing papers by Marκ McLaughlin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marκ McLaughlin

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

All Works

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20 of 20 papers shown

Riva, Francesca, P.D. Eckersall, Christopher C. Chadwick, et al.. (2024). Identification of novel biomarkers of acute phase response in chickens challenged with Escherichia coli lipopolysaccharide endotoxin. BMC Veterinary Research. 20(1). 236–236. 3 indexed citations

Zarzuela, Eduardo, Marκ McLaughlin, Alexandra Small, et al.. (2023). A novel dynamic proteomics approach for the measurement of broiler chicken protein fractional synthesis rate. Rapid Communications in Mass Spectrometry. 37(10). e9497–e9497. 4 indexed citations

Agazzi, A., Suzanne McGill, Stefan Weidt, et al.. (2022). Proteomic changes associated with maternal dietary low ω6:ω3 ratio in piglets supplemented with seaweed. Part I: Serum proteomes. Journal of Proteomics. 270. 104740–104740. 1 indexed citations

Agazzi, A., Suzanne McGill, Stefan Weidt, et al.. (2022). Abundance of plasma proteins in response to divergent ratios of dietary ω6:ω3 fatty acids in gestating and lactating sows using a quantitative proteomics approach. Journal of Proteomics. 260. 104562–104562. 4 indexed citations

Horvatić, Anita, Andrea Gelemanović, Blanka Beer Ljubić, et al.. (2021). Multi-Omics Approach to Elucidate Cerebrospinal Fluid Changes in Dogs with Intervertebral Disc Herniation. International Journal of Molecular Sciences. 22(21). 11678–11678. 6 indexed citations

Weidt, Stefan, Marκ McLaughlin, Daniel J. Wescott, et al.. (2020). Postmortomics: The Potential of Untargeted Metabolomics to Highlight Markers for Time Since Death. OMICS A Journal of Integrative Biology. 24(11). 649–659. 41 indexed citations

Gutierrez‐Quintana, Rodrigo, Marκ McLaughlin, Llorenç Grau‐Roma, et al.. (2019). Spongiform leucoencephalomyelopathy in border terriers: clinical, electrophysiological and imaging features. Veterinary Record. 185(12). 375–375. 7 indexed citations

Hough, Denise, et al.. (2019). Peripubertal GnRH and testosterone co-treatment leads to increased familiarity preferences in male sheep. Psychoneuroendocrinology. 108. 70–77. 3 indexed citations

Mudaliar, Manikhandan, Riccardo Tassi, Funmilola Clara Thomas, et al.. (2016). Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics. Molecular BioSystems. 12(9). 2748–2761. 46 indexed citations

10.

Hough, Denise, Michelle Bellingham, Ira Haraldsen, et al.. (2016). A reduction in long-term spatial memory persists after discontinuation of peripubertal GnRH agonist treatment in sheep. Psychoneuroendocrinology. 77. 1–8. 13 indexed citations

11.

Lowrie, Mark, Jacques Penderis, Marκ McLaughlin, P.D. Eckersall, & Thomas Anderson. (2009). Steroid Responsive Meningitis-Arteritis: A Prospective Study of Potential Disease Markers, Prednisolone Treatment, and Long-Term Outcome in 20 Dogs (2006–2008). Journal of Veterinary Internal Medicine. 23(4). 862–870. 70 indexed citations

12.

Edgar, Julia M., Marκ McLaughlin, Hauke Werner, et al.. (2009). Early ultrastructural defects of axons and axon–glia junctions in mice lacking expression of Cnp1. Glia. 57(16). 1815–1824. 122 indexed citations

13.

Lowrie, Mark, Jacques Penderis, P.D. Eckersall, et al.. (2008). The role of acute phase proteins in diagnosis and management of steroid-responsive meningitis arteritis in dogs. The Veterinary Journal. 182(1). 125–130. 64 indexed citations

14.

Sharif, Naj, et al.. (2006). AL–34662: A Novel, Potent and Efficacious Ocular Hypotensive Serotonin–2 Receptor Agonist. Investigative Ophthalmology & Visual Science. 47(13). 2944–2944. 1 indexed citations

15.

McLaughlin, Marκ, Jennifer A. Barrie, Saadia A. Karim, et al.. (2006). Processing of PLP in a model of Pelizaeus‐Merzbacher disease/SPG2 due to the rumpshaker mutation. Glia. 53(7). 715–722. 18 indexed citations

16.

Edgar, Julia M., Marκ McLaughlin, D. A. Yool, et al.. (2004). Oligodendroglial modulation of fast axonal transport in a mouse model of hereditary spastic paraplegia. The Journal of Cell Biology. 166(1). 121–131. 244 indexed citations

17.

Montague, Paul, Andrew S. McCallion, Jennifer A. Barrie, et al.. (2004). Characterization of the murine splice variantMobp155: Developmental CNS expression pattern and subcellular localization of epitope-tagged protein. Glia. 50(1). 80–85. 6 indexed citations

18.

Yool, D. A., Paul Montague, Marκ McLaughlin, et al.. (2002). Phenotypic analysis of mice deficient in the major myelin protein MOBP, and evidence for a novel Mobp isoform. Glia. 39(3). 256–267. 18 indexed citations

19.

Sharif, Najam A., Shouxi Xu, Julie Y. Crider, Marκ McLaughlin, & Terry L. Davis. (2001). Levobetaxolol (Betaxon™) and Other β -Adrenergic Antagonists: Preclinical Pharmacology, IOP-Lowering Activity and Sites of Action in Human Eyes. Journal of Ocular Pharmacology and Therapeutics. 17(4). 305–317. 38 indexed citations

20.

McLaughlin, Marκ, et al.. (1999). Differential coupling of G‐protein‐linked receptors to Ca²⁺ mobilization through inositol(1,4,5)trisphosphate or ryanodine receptors in cerebellar granule cells in primary culture. European Journal of Neuroscience. 11(9). 3015–3022. 18 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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