Dave Tang

2.9k total citations
18 papers, 1.2k citations indexed

About

Dave Tang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dave Tang has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Dave Tang's work include Genomics and Phylogenetic Studies (4 papers), Single-cell and spatial transcriptomics (3 papers) and Renal and related cancers (3 papers). Dave Tang is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Single-cell and spatial transcriptomics (3 papers) and Renal and related cancers (3 papers). Dave Tang collaborates with scholars based in Australia, Italy and United Kingdom. Dave Tang's co-authors include Piero Carninci, Alka Saxena, Marina Mione, Viviana Anelli, Sofia Francia, Flavia Michelini, Michiel de Hoon, Fabrizio d’Adda di Fagagna, Sean M. Grimmond and Darrin F. Taylor and has published in prestigious journals such as Nature, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Dave Tang

18 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dave Tang Australia 14 883 363 215 135 94 18 1.2k
Yufei Xu China 15 1.0k 1.2× 393 1.1× 96 0.4× 47 0.3× 63 0.7× 64 1.4k
Kunzhe Dong China 20 614 0.7× 323 0.9× 286 1.3× 47 0.3× 157 1.7× 46 1.1k
Anne‐Laure Todeschini France 25 1.1k 1.3× 641 1.8× 142 0.7× 56 0.4× 371 3.9× 41 1.7k
Shinji Kondo Japan 19 1.5k 1.7× 390 1.1× 362 1.7× 60 0.4× 148 1.6× 41 1.9k
Dominique Thépot France 19 1.0k 1.2× 860 2.4× 83 0.4× 27 0.2× 75 0.8× 39 1.5k
Karen A. L. Tan United Kingdom 14 605 0.7× 553 1.5× 86 0.4× 157 1.2× 16 0.2× 14 1.5k
Robert Steen United States 7 488 0.6× 565 1.6× 120 0.6× 206 1.5× 112 1.2× 10 1.1k
Zhenjuan Wang United States 7 1.1k 1.3× 474 1.3× 128 0.6× 28 0.2× 103 1.1× 9 1.3k
Xiaoxia Sun China 16 744 0.8× 320 0.9× 163 0.8× 61 0.5× 25 0.3× 31 1.1k
Katy Schmidt Austria 17 685 0.8× 269 0.7× 92 0.4× 21 0.2× 23 0.2× 39 1.2k

Countries citing papers authored by Dave Tang

Since Specialization
Citations

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

Fields of papers citing papers by Dave Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dave Tang

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

All Works

18 of 18 papers shown
1.
Jamieson, Sarra E., Michaela Fakiola, Dave Tang, et al.. (2021). Common and Rare Genetic Variants That Could Contribute to Severe Otitis Media in an Australian Aboriginal Population. Clinical Infectious Diseases. 73(10). 1860–1870. 3 indexed citations
2.
Anderson, Denise, Emanuela Ferrari, Jennifer Tickner, et al.. (2020). The bone marrow microenvironment of pre-B acute lymphoblastic leukemia at single-cell resolution. Scientific Reports. 10(1). 19173–19173. 21 indexed citations
3.
Bertuzzi, Maria, Dave Tang, Raffaella Calligaris, et al.. (2020). A human minisatellite hosts an alternative transcription start site for NPRL3 driving its expression in a repeat number‐dependent manner. Human Mutation. 41(4). 807–824. 3 indexed citations
4.
Tang, Dave, Michaela Fakiola, Denise Anderson, et al.. (2018). Arylsulphatase A Pseudodeficiency (ARSA-PD), hypertension and chronic renal disease in Aboriginal Australians. Scientific Reports. 8(1). 10912–10912. 6 indexed citations
5.
Ayers, Katie, Dave Tang, Jocelyn A. van den Bergen, et al.. (2018). A novel, homozygous mutation in desert hedgehog (DHH) in a 46, XY patient with dysgenetic testes presenting with primary amenorrhoea: a case report. International Journal of Pediatric Endocrinology. 2018(1). 2–2. 13 indexed citations
6.
Abraham, Mary B., Dong Li, Dave Tang, et al.. (2017). Short stature and hypoparathyroidism in a child with Kenny-Caffey syndrome type 2 due to a novel mutation in FAM111A gene. International Journal of Pediatric Endocrinology. 2017(1). 1–1. 26 indexed citations
7.
Roudnicky, Filip, Lothar C. Dieterich, Cédric Poyet, et al.. (2017). High expression of insulin receptor on tumour‐associated blood vessels in invasive bladder cancer predicts poor overall and progression‐free survival. The Journal of Pathology. 242(2). 193–205. 26 indexed citations
8.
Tang, Dave, Denise Anderson, Richard W. Francis, et al.. (2016). Reference genotype and exome data from an Australian Aboriginal population for health-based research. Scientific Data. 3(1). 160023–160023. 13 indexed citations
9.
Francia, Sofia, Flavia Michelini, Alka Saxena, et al.. (2012). Site-specific DICER and DROSHA RNA products control the DNA-damage response. Nature. 488(7410). 231–235. 420 indexed citations
10.
Tang, Dave, Charles Plessy, M. Salimullah, et al.. (2012). Suppression of artifacts and barcode bias in high-throughput transcriptome analyses utilizing template switching. Nucleic Acids Research. 41(3). e44–e44. 52 indexed citations
11.
Saxena, Alka, Dave Tang, & Piero Carninci. (2012). piRNAs warrant investigation in Rett Syndrome: an omics perspective.. SHILAP Revista de lepidopterología. 33(5). 261–75. 20 indexed citations
12.
Thiagarajan, Rathi D., Kylie Georgas, Bree Rumballe, et al.. (2011). Identification of Anchor Genes during Kidney Development Defines Ontological Relationships, Molecular Subcompartments and Regulatory Pathways. PLoS ONE. 6(2). e17286–e17286. 71 indexed citations
13.
Thiagarajan, Rathi D., Nicole Cloonan, Brooke Gardiner, et al.. (2011). Refining transcriptional programs in kidney development by integration of deep RNA-sequencing and array-based spatial profiling. BMC Genomics. 12(1). 441–441. 22 indexed citations
14.
Chiu, Han Sheng, John C. Szucsik, Kylie Georgas, et al.. (2010). Comparative gene expression analysis of genital tubercle development reveals a putative appendicular Wnt7 network for the epidermal differentiation. Developmental Biology. 344(2). 1071–1087. 26 indexed citations
15.
Georgas, Kylie, Bree Rumballe, M. Todd Valerius, et al.. (2009). Analysis of early nephron patterning reveals a role for distal RV proliferation in fusion to the ureteric tip via a cap mesenchyme-derived connecting segment. Developmental Biology. 332(2). 273–286. 195 indexed citations
16.
Kijas, James, Brian P. Dalrymple, Michael P. Heaton, et al.. (2009). A Genome Wide Survey of SNP Variation Reveals the Genetic Structure of Sheep Breeds. PLoS ONE. 4(3). e4668–e4668. 269 indexed citations
17.
Tang, Dave, Evgeny A. Glazov, Sean McWilliam, W Barris, & Brian P. Dalrymple. (2009). Analysis of the complement and molecular evolution of tRNA genes in cow. BMC Genomics. 10(1). 188–188. 15 indexed citations
18.
Cloonan, Nicole, Qinying Xu, Geoffrey J. Faulkner, et al.. (2009). RNA-MATE: a recursive mapping strategy for high-throughput RNA-sequencing data. Bioinformatics. 25(19). 2615–2616. 33 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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