Alexander M. Gout

1.5k total citations
11 papers, 750 citations indexed

About

Alexander M. Gout is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Alexander M. Gout has authored 11 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Hematology and 2 papers in Genetics. Recurrent topics in Alexander M. Gout's work include Renal and related cancers (2 papers), Protein Degradation and Inhibitors (2 papers) and Cancer Genomics and Diagnostics (2 papers). Alexander M. Gout is often cited by papers focused on Renal and related cancers (2 papers), Protein Degradation and Inhibitors (2 papers) and Cancer Genomics and Diagnostics (2 papers). Alexander M. Gout collaborates with scholars based in Australia, United States and United Kingdom. Alexander M. Gout's co-authors include David A. Day, James Whelan, Julian Tonti‐Filippini, A. Harvey Millar, Joshua L. Heazlewood, David Ravine, Emma Croager, Lawrence J. Abraham, Jinghui Zhang and Samuel W. Brady and has published in prestigious journals such as Nature Genetics, PLoS ONE and The Plant Cell.

In The Last Decade

Alexander M. Gout

11 papers receiving 746 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander M. Gout Australia 10 543 199 73 51 51 11 750
Sandra Louzada United Kingdom 13 457 0.8× 152 0.8× 173 2.4× 23 0.5× 10 0.2× 27 691
Lowell G. Sheflin United States 16 687 1.3× 57 0.3× 126 1.7× 15 0.3× 25 0.5× 34 875
Julie Soutourina France 22 1.5k 2.8× 183 0.9× 127 1.7× 13 0.3× 14 0.3× 32 1.7k
Shao-bing Hua United States 14 408 0.8× 67 0.3× 44 0.6× 94 1.8× 13 0.3× 22 583
David R. Setzer United States 16 1.0k 1.9× 72 0.4× 181 2.5× 34 0.7× 21 0.4× 26 1.2k
David E. Mold United States 11 238 0.4× 62 0.3× 77 1.1× 23 0.5× 15 0.3× 16 401
Rita Cheng United States 5 443 0.8× 66 0.3× 88 1.2× 10 0.2× 8 0.2× 6 625
M Kapp Germany 12 354 0.7× 41 0.2× 34 0.5× 65 1.3× 19 0.4× 19 639
N. Yu. Oparina Russia 19 804 1.5× 92 0.5× 174 2.4× 14 0.3× 12 0.2× 53 1.1k
Brianna J. Klein United States 23 1.5k 2.7× 79 0.4× 207 2.8× 21 0.4× 16 0.3× 36 1.6k

Countries citing papers authored by Alexander M. Gout

Since Specialization
Citations

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

Fields of papers citing papers by Alexander M. Gout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander M. Gout

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

All Works

11 of 11 papers shown
1.
Davis, Eric M., Yu Sun, Yanling Liu, et al.. (2021). SequencErr: measuring and suppressing sequencer errors in next-generation sequencing data. Genome biology. 22(1). 37–37. 33 indexed citations
2.
Gout, Alexander M., Sasi Arunachalam, David Finkelstein, & Jinghui Zhang. (2021). Data-driven approaches to advance research and clinical care for pediatric cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1876(1). 188571–188571. 3 indexed citations
3.
Brady, Samuel W., Alexander M. Gout, & Jinghui Zhang. (2021). Therapeutic and prognostic insights from the analysis of cancer mutational signatures. Trends in Genetics. 38(2). 194–208. 41 indexed citations
4.
Jones, Anya C., Niamh Troy, Elysia Hollams, et al.. (2018). Persistent activation of interlinked type 2 airway epithelial gene networks in sputum-derived cells from aeroallergen-sensitized symptomatic asthmatics. Scientific Reports. 8(1). 1511–1511. 14 indexed citations
5.
Cruickshank, Mark N., Jette Ford, Laurence C. Cheung, et al.. (2016). Systematic chemical and molecular profiling of MLL-rearranged infant acute lymphoblastic leukemia reveals efficacy of romidepsin. Leukemia. 31(1). 40–50. 18 indexed citations
6.
Francis, Richard W., Anja Stirnweiß, Emanuela Ferrari, et al.. (2012). Novel BRD4–NUT fusion isoforms increase the pathogenic complexity in NUT midline carcinoma. Oncogene. 32(39). 4664–4674. 38 indexed citations
7.
Zuccala, Elizabeth, Alexander M. Gout, Chaitali Dekiwadia, et al.. (2012). Subcompartmentalisation of Proteins in the Rhoptries Correlates with Ordered Events of Erythrocyte Invasion by the Blood Stage Malaria Parasite. PLoS ONE. 7(9). e46160–e46160. 40 indexed citations
8.
Gout, Alexander M., et al.. (2007). PKDB: Polycystic Kidney Disease Mutation Database-a gene variant database for autosomal dominant polycystic kidney disease. Human Mutation. 28(7). 654–659. 40 indexed citations
9.
Gout, Alexander M. & David Ravine. (2007). Analysis of published PKD1 gene sequence variants. Nature Genetics. 39(4). 427–428. 16 indexed citations
11.
Croager, Emma, Alexander M. Gout, & Lawrence J. Abraham. (2000). Involvement of Sp1 and Microsatellite Repressor Sequences in the Transcriptional Control of the Human CD30 Gene. American Journal Of Pathology. 156(5). 1723–1731. 47 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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