Paul Gardner

3.9k total citations
91 papers, 2.9k citations indexed

About

Paul Gardner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Education. According to data from OpenAlex, Paul Gardner has authored 91 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 11 papers in Education. Recurrent topics in Paul Gardner's work include Nicotinic Acetylcholine Receptors Study (40 papers), Receptor Mechanisms and Signaling (20 papers) and Ion channel regulation and function (17 papers). Paul Gardner is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (40 papers), Receptor Mechanisms and Signaling (20 papers) and Ion channel regulation and function (17 papers). Paul Gardner collaborates with scholars based in United States, Australia and United Kingdom. Paul Gardner's co-authors include Andrew R. Tapper, Rubing Zhao-Shea, Irena N. Melnikova, Liwang Liu, Ma. Reina Improgo, Xue-Yan Pang, Catherine B. Bigger, Qun Du, Michael D. Scofield and J. Michael McIntosh and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Paul Gardner

90 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Gardner United States 32 2.2k 940 228 191 183 91 2.9k
Peter Bauer Japan 36 2.4k 1.1× 1.7k 1.8× 688 3.0× 255 1.3× 173 0.9× 113 4.6k
Summer F. Acevedo United States 23 634 0.3× 557 0.6× 148 0.6× 121 0.6× 48 0.3× 55 1.6k
Priit Pruunsild Estonia 22 992 0.4× 944 1.0× 171 0.8× 282 1.5× 45 0.2× 28 2.2k
Ernesto Bonilla Venezuela 20 1.4k 0.6× 1.5k 1.5× 239 1.0× 587 3.1× 42 0.2× 68 3.1k
Vânia F. Prado Canada 37 2.5k 1.1× 1.2k 1.3× 656 2.9× 753 3.9× 90 0.5× 133 4.3k
Kathleen Van Craenenbroeck Belgium 23 1.1k 0.5× 654 0.7× 100 0.4× 198 1.0× 32 0.2× 50 1.8k
Hongjie Li United States 24 630 0.3× 1.0k 1.1× 175 0.8× 281 1.5× 330 1.8× 55 2.1k
Annette M. Hartmann Germany 32 1.5k 0.7× 674 0.7× 198 0.9× 361 1.9× 36 0.2× 91 3.2k
Catherine Vidal France 26 1.3k 0.6× 1.1k 1.1× 422 1.9× 68 0.4× 29 0.2× 56 2.5k
Jamie M. Kramer Canada 24 1.1k 0.5× 333 0.4× 294 1.3× 600 3.1× 134 0.7× 37 2.2k

Countries citing papers authored by Paul Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Paul Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Gardner

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

All Works

20 of 20 papers shown
1.
DeGroot, Steven R., Rubing Zhao-Shea, Leeyup Chung, et al.. (2020). Midbrain Dopamine Controls Anxiety-like Behavior by Engaging Unique Interpeduncular Nucleus Microcircuitry. Biological Psychiatry. 88(11). 855–866. 45 indexed citations
2.
Gardner, Paul. (2018). NAPLAN: The Writing Is on The Wall but Who Is Actually Reading It?.. English in Australia. 53(1). 15–23. 10 indexed citations
3.
Molas, Susanna, Rubing Zhao-Shea, Liwang Liu, et al.. (2017). A circuit-based mechanism underlying familiarity signaling and the preference for novelty. Nature Neuroscience. 20(9). 1260–1268. 48 indexed citations
4.
Shea, Jeremy M., Ryan W. Serra, Benjamin R. Carone, et al.. (2015). Genetic and Epigenetic Variation, but Not Diet, Shape the Sperm Methylome. Developmental Cell. 35(6). 750–758. 103 indexed citations
5.
Ngolab, Jennifer, Liwang Liu, Rubing Zhao-Shea, et al.. (2015). Functional Upregulation of α4* Nicotinic Acetylcholine Receptors in VTA GABAergic Neurons Increases Sensitivity to Nicotine Reward. Journal of Neuroscience. 35(22). 8570–8578. 27 indexed citations
6.
Zhao-Shea, Rubing, Steven R. DeGroot, Liwang Liu, et al.. (2015). Increased CRF signalling in a ventral tegmental area-interpeduncular nucleus-medial habenula circuit induces anxiety during nicotine withdrawal. Nature Communications. 6(1). 6770–6770. 124 indexed citations
7.
Gardner, Paul. (2014). Becoming a teacher of writing: Primary student teachers reviewing their relationship with writing. English in Education. 48(2). 128–148. 13 indexed citations
8.
Gardner, Paul. (2013). Writing in Context: Reluctant Writers and Their Writing at Home and at School.. eSpace (Curtin University). 48(1). 71–81. 7 indexed citations
9.
Bharadwaj, Rahul, Yong‐hui Jiang, Wei Mao, et al.. (2013). Conserved Chromosome 2q31 Conformations Are Associated with Transcriptional Regulation of GAD1 GABA Synthesis Enzyme and Altered in Prefrontal Cortex of Subjects with Schizophrenia. Journal of Neuroscience. 33(29). 11839–11851. 49 indexed citations
10.
Liu, Liwang, Linzy M. Hendrickson, Melissa Guildford, et al.. (2012). Nicotinic Acetylcholine Receptors Containing the α4 Subunit Modulate Alcohol Reward. Biological Psychiatry. 73(8). 738–746. 47 indexed citations
11.
Bruschweiler‐Li, Lei, et al.. (2010). Temporally- and spatially-regulated transcriptional activity of the nicotinic acetylcholine receptor β4 subunit gene promoter. Neuroscience. 166(3). 864–877. 7 indexed citations
12.
Improgo, Ma. Reina, Michael D. Scofield, Andrew R. Tapper, & Paul Gardner. (2010). From smoking to lung cancer: the CHRNA5/A3/B4 connection. Oncogene. 29(35). 4874–4884. 49 indexed citations
13.
Scofield, Michael D., et al.. (2008). Transcription factor assembly on the nicotinic receptor β4 subunit gene promoter. Neuroreport. 19(6). 687–690. 6 indexed citations
14.
Du, Qun, Irena N. Melnikova, & Paul Gardner. (1998). Differential Effects of Heterogeneous Nuclear Ribonucleoprotein K on Sp1- and Sp3-mediated Transcriptional Activation of a Neuronal Nicotinic Acetylcholine Receptor Promoter. Journal of Biological Chemistry. 273(31). 19877–19883. 71 indexed citations
15.
Gilmour, Brian P., et al.. (1995). Electrical Activity Suppresses Nicotinic Acetylcholine Receptor γ Subunit Promoter Activity. Developmental Biology. 168(2). 416–428. 21 indexed citations
16.
Fanger, Gary R., Christine Brennan, Leslie Henderson, Paul Gardner, & Robert A. Maue. (1995). Differential expression of sodium channels and nicotinic acetylcholine receptor channels in nnr variants of the PC12 pheochromocytoma cell line. The Journal of Membrane Biology. 144(1). 71–80. 10 indexed citations
17.
Hoffman, Douglas W., et al.. (1993). Localization of preproenkephalin mRNA-expressing cells in rat auditory brainstem with in situ hybridization. Hearing Research. 69(1-2). 1–9. 10 indexed citations
18.
19.
Patrick, Jim, Jim Boulter, Daniel Goldman, Paul Gardner, & Steve Heinemann. (1987). Molecular Biology of Nicotinic Acetylcholine Receptors. Annals of the New York Academy of Sciences. 505(1). 194–207. 24 indexed citations
20.
Colquhoun, David, et al.. (1983). THE CONDUCTANCE OF ION CHANNELS OPENED BY DIFFERENT CHOLINOMIMETIC AGONISTS IN CULTURED RAT MUSCLE. UCL Discovery (University College London). 2 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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