Don Wallace

466 total citations
9 papers, 364 citations indexed

About

Don Wallace is a scholar working on Surgery, Cellular and Molecular Neuroscience and Epidemiology. According to data from OpenAlex, Don Wallace has authored 9 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Epidemiology. Recurrent topics in Don Wallace's work include Neuroscience and Neuropharmacology Research (3 papers), GABA and Rice Research (2 papers) and Cannabis and Cannabinoid Research (2 papers). Don Wallace is often cited by papers focused on Neuroscience and Neuropharmacology Research (3 papers), GABA and Rice Research (2 papers) and Cannabis and Cannabinoid Research (2 papers). Don Wallace collaborates with scholars based in United Kingdom, United States and South Africa. Don Wallace's co-authors include Christopher L. Clayton, Jean E. Crabtree, Joanne Cox, Toshihiko Tomita, Philip A. Robinson, Pauline T. Lukey, Jacqueline M. Cliff, Paul D. van Helden, Nulda Beyers and Rohit Mistry and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and The Journal of Infectious Diseases.

In The Last Decade

Don Wallace

9 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Don Wallace United Kingdom	7	138	108	98	97	96	9	364
Kamaldeen Muili United States	13	213 1.5×	73 0.7×	19 0.2×	88 0.9×	134 1.4×	17	528
K. Itoh Japan	8	61 0.4×	152 1.4×	20 0.2×	50 0.5×	54 0.6×	10	326
Ruth Tal Israel	5	77 0.6×	37 0.3×	16 0.2×	211 2.2×	192 2.0×	5	430
Wonkyu Choe United States	7	85 0.6×	218 2.0×	55 0.6×	39 0.4×	87 0.9×	9	501
Yuzuru Abe Japan	9	19 0.1×	69 0.6×	81 0.8×	89 0.9×	134 1.4×	11	417
Gabriel J. Popa United States	8	46 0.3×	72 0.7×	36 0.4×	31 0.3×	155 1.6×	11	408
M. Sta Netherlands	5	21 0.2×	126 1.2×	49 0.5×	45 0.5×	106 1.1×	6	436
Charles Bayard France	12	40 0.3×	172 1.6×	29 0.3×	76 0.8×	87 0.9×	17	386
Steven J. McClane United States	12	211 1.5×	30 0.3×	33 0.3×	35 0.4×	145 1.5×	23	481

Countries citing papers authored by Don Wallace

Since Specialization

Citations

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

Fields of papers citing papers by Don Wallace

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Don Wallace

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

All Works

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9 of 9 papers shown

Mistry, Rohit, Jacqueline M. Cliff, Christopher L. Clayton, et al.. (2007). Gene‐Expression Patterns in Whole Blood Identify Subjects at Risk for Recurrent Tuberculosis. The Journal of Infectious Diseases. 195(3). 357–365. 107 indexed citations

Francis, Sheila, Kim Suvarna, Stephen J. Blakemore, et al.. (2005). Differential gene expression in coronary arteries from patients presenting with ischemic heart disease: Further evidence for the inflammatory basis of atherosclerosis. American Heart Journal. 150(3). 488–499. 43 indexed citations

Grigorenko, Elena, Josef T. Kittler, Chris L. Clayton, et al.. (2002). Assessment of cannabinoid induced gene changes: tolerance and neuroprotection. Chemistry and Physics of Lipids. 121(1-2). 257–266. 34 indexed citations

Cox, Joanne, Christopher L. Clayton, Toshihiko Tomita, et al.. (2001). cDNA Array Analysis ofcagPathogenicity Island-AssociatedHelicobacter pyloriEpithelial Cell Response Genes. Infection and Immunity. 69(11). 6970–6980. 85 indexed citations

Kittler, Josef T., Elena Grigorenko, Chris L. Clayton, et al.. (2000). Large-scale analysis of gene expression changes during acute and chronic exposure to Δ⁹-THC in rats. Physiological Genomics. 3(3). 175–185. 50 indexed citations

Wallace, Don, Chris L. Clayton, Joanne Cox, et al.. (1999). Identification of helicobacter pylori epithelial cell response genes by screening high-density cDNA arrays. Nature Genetics. 23(S3). 80–80. 4 indexed citations

Deans, Zandra C., Sally J. Dawson, Manfred W. Kilimann, et al.. (1997). Differential regulation of genes encoding synaptic proteins by the Oct-2 transcription factor. Molecular Brain Research. 51(1-2). 1–7. 4 indexed citations

Deans, Zandra C., Sally J. Dawson, Jinling Xie, et al.. (1996). Differential Regulation of the Two Neuronal Nitric-oxide Synthase Gene Promoters by the Oct-2 Transcription Factor. Journal of Biological Chemistry. 271(50). 32153–32158. 26 indexed citations

Deans, Zandra C., Sally J. Dawson, Lee Buttery, et al.. (1995). Direct evidence that the POU family transcription factor Oct-2 represses the cellular tyrosine hydroxylase gene in neuronal cells. Journal of Molecular Neuroscience. 6(3). 159–167. 11 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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