M.E. Gibbs

1.4k total citations
45 papers, 1.2k citations indexed

About

M.E. Gibbs is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, M.E. Gibbs has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 13 papers in Molecular Biology and 12 papers in Cognitive Neuroscience. Recurrent topics in M.E. Gibbs's work include Neuroscience and Neuropharmacology Research (23 papers), Memory and Neural Mechanisms (11 papers) and Neuroendocrine regulation and behavior (10 papers). M.E. Gibbs is often cited by papers focused on Neuroscience and Neuropharmacology Research (23 papers), Memory and Neural Mechanisms (11 papers) and Neuroendocrine regulation and behavior (10 papers). M.E. Gibbs collaborates with scholars based in Australia, Canada and China. M.E. Gibbs's co-authors include Roger J. Summers, Karen Ng, Nikki S. Rickard, Brona S. O'Dowd, Leif Hertz, G. Sedman, Dana S. Hutchinson, R. F. Mark, Graham A.R. Johnston and S. P. R. Rose and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and Neuroscience.

In The Last Decade

M.E. Gibbs

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.E. Gibbs Australia	21	748	382	380	219	208	45	1.2k
Rachel C. Bourne United Kingdom	21	627 0.8×	282 0.7×	262 0.7×	80 0.4×	129 0.6×	39	1.1k
Walter Francesconi Italy	23	1.1k 1.5×	514 1.3×	799 2.1×	148 0.7×	90 0.4×	49	1.8k
Robin A. Barraco United States	27	929 1.2×	242 0.6×	639 1.7×	104 0.5×	213 1.0×	75	2.2k
Thomas A. Houpt United States	27	666 0.9×	428 1.1×	254 0.7×	192 0.9×	219 1.1×	86	1.9k
G.C. Wagner United States	19	900 1.2×	198 0.5×	329 0.9×	82 0.4×	67 0.3×	49	1.5k
Susan M. Schwartz United States	17	836 1.1×	222 0.6×	482 1.3×	74 0.3×	182 0.9×	28	1.5k
N Bons France	18	320 0.4×	146 0.4×	397 1.0×	315 1.4×	196 0.9×	47	1.1k
Nobuyuki Karasawa Japan	23	1.0k 1.4×	171 0.4×	427 1.1×	191 0.9×	157 0.8×	90	1.8k
Jean‐Charles Bizot France	24	849 1.1×	426 1.1×	660 1.7×	89 0.4×	210 1.0×	45	1.9k
Jean‐Michel Lassalle France	14	506 0.7×	335 0.9×	293 0.8×	126 0.6×	61 0.3×	16	935

Countries citing papers authored by M.E. Gibbs

Since Specialization

Citations

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

Fields of papers citing papers by M.E. Gibbs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.E. Gibbs. 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 M.E. Gibbs. The network helps show where M.E. Gibbs may publish in the future.

Co-authorship network of co-authors of M.E. Gibbs

This figure shows the co-authorship network connecting the top 25 collaborators of M.E. Gibbs. A scholar is included among the top collaborators of M.E. Gibbs 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 M.E. Gibbs. M.E. Gibbs 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

Lee, Yong Suk, et al.. (2025). Do multimodal large language models understand welding?. Information Fusion. 120. 103121–103121.

Gaur, Uma, Ambadasu Bharatha, Natasha Sobers, et al.. (2024). Knowledge, Attitudes, and Practices of Hand Hygiene, Mask Use, and Social Distancing among Public Hospital and Polyclinic Nurses in Barbados during the Coronavirus 2019 Pandemic. SHILAP Revista de lepidopterología. 5(1). 122–136. 2 indexed citations

Gibbs, M.E. & C. L. Gibbs. (2012). Deleterious effects of soluble beta amyloid on cognition, antagonism by saline and noradrenaline, a role for microglia. Neuroscience. 230. 62–71. 8 indexed citations

Rickard, Nikki S., et al.. (2007). Maternal hen calls modulate memory formation in the day-old chick: The role of noradrenaline. Neurobiology of Learning and Memory. 88(3). 321–330. 28 indexed citations

Gibbs, M.E. & Graham A.R. Johnston. (2005). Opposing roles for GABAA and GABAC receptors in short-term memory formation in young chicks. Neuroscience. 131(3). 567–576. 45 indexed citations

Toukhsati, Samia R., et al.. (2004). Noradrenaline involvement in the memory-enhancing effects of exposure to a complex rhythm stimulus following discriminated passive avoidance training in the young chick. Behavioural Brain Research. 159(1). 105–111. 10 indexed citations

Camm, Emily J., Richard Harding, Gavin Lambert, & M.E. Gibbs. (2004). The role of catecholamines in memory impairment in chicks following reduced gas exchange in ovo. Neuroscience. 128(3). 545–553. 9 indexed citations

Hertz, Leif, et al.. (2004). Astrocytic Adrenoceptors: A Major Drug Target in Neurological and Psychiatric Disorders?. PubMed. 3(3). 239–268. 80 indexed citations

Rickard, Nikki S. & M.E. Gibbs. (2003). Effects of nitric oxide inhibition on avoidance learning in the chick are lateralized and localized. Neurobiology of Learning and Memory. 79(3). 252–256. 15 indexed citations

10.

Gibbs, M.E. & Roger J. Summers. (2002). Effects of glucose and 2-deoxyglucose on memory formation in the chick: interaction with β3-adrenoceptor agonists. Neuroscience. 114(1). 69–79. 28 indexed citations

11.

Rickard, Nikki S., et al.. (2001). Effect of the Ginkgo biloba extract, EGb 761, on memory formation in day-old chicks. Pharmacology Biochemistry and Behavior. 69(3-4). 351–358. 9 indexed citations

12.

Gibbs, M.E. & Roger J. Summers. (1999). Separate roles for β2- and β3-adrenoceptors in memory consolidation. Neuroscience. 95(3). 913–922. 49 indexed citations

13.

Zhao, Wei, Pauleen C. Bennett, Nikki S. Rickard, et al.. (1996). The Involvement of Ca2+/Calmodulin-Dependent Protein Kinase in Memory Formation in Day-Old Chicks. Neurobiology of Learning and Memory. 66(1). 24–35. 13 indexed citations

14.

Zhao, Wei, G.M. Polya, Bing H. Wang, et al.. (1995). Inhibitors of cAMP-Dependent Protein Kinase Impair Long-Term Memory Formation in Day-Old Chicks. Neurobiology of Learning and Memory. 64(2). 106–118. 38 indexed citations

15.

Rickard, Nikki S., et al.. (1994). Both non-NMDA and NMDA glutamate receptors are necessary for memory consolidation in the day-old chick. Behavioral and Neural Biology. 62(1). 33–40. 67 indexed citations

16.

O'Dowd, Brona S., M.E. Gibbs, G. Sedman, & Karen Ng. (1994). Astrocytes implicated in the energizing of intermediate memory processes in neonate chicks. Cognitive Brain Research. 2(2). 93–102. 40 indexed citations

17.

Ng, Karen, M.E. Gibbs, C. L. Gibbs, et al.. (1992). Chapter 9: Ion involvement in memory formation: the potential role of astrocytes. Progress in brain research. 94. 109–115. 8 indexed citations

18.

Ng, Karen, M.E. Gibbs, Simon F. Crowe, et al.. (1991). Molecular mechanisms of memory formation. Molecular Neurobiology. 5(2-4). 333–350. 36 indexed citations

19.

Sedman, G., Brona S. O'Dowd, Nikki S. Rickard, M.E. Gibbs, & Karen Ng. (1991). Brain metabolic activity associated with long-term memory consolidation. Molecular Neurobiology. 5(2-4). 351–354. 44 indexed citations

20.

Gibbs, M.E., Amanda L. Richdale, & Karen Ng. (1987). Effect of excess intracranial amino acids on memory: A behavioural survey. Neuroscience & Biobehavioral Reviews. 11(3). 331–339. 14 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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