Dave Tang
Impact in
- Cancer Research top 10%
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Renal and related cancers 3
- Genomics and Phylogenetic Studies 3
- RNA modifications and cancer 3
- Single-cell and spatial transcriptomics 2
- RNA Research and Splicing 2
- Genetics 4
- Co-authors
- Piero Carninci (4 shared papers)Alka Saxena (2 shared papers)Viviana Anelli (1 shared paper)Marina Mione (1 shared paper)Sofia Francia (1 shared paper)Flavia Michelini (1 shared paper)Michiel de Hoon (1 shared paper)Fabrizio d’Adda di Fagagna (1 shared paper)
- Journals
- Developmental Biology (2 papers)Scientific Reports (2 papers)BMC Genomics (2 papers)PLoS ONE (2 papers)Bioinformatics (1 paper)
- Partner nations
- AustraliaItalyUnited States
In The Last Decade
Dave Tang
18 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 102
- Cancer Research 200
- Genetics 356
- Molecular Biology 879
- Urology 45
- Pulmonary and Respiratory Medicine 138
Countries citing papers authored by Dave Tang
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
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-authors
The 25 scholars most cited alongside Dave Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 438 | |
| 2 | 2009 | 280 | |
| 3 | 2009 | 212 | |
| 4 | 2011 | 77 | |
| 5 | 2012 | 53 | |
| 6 | 2009 | 35 | |
| 7 | 2017 | 27 | |
| 8 | 2010 | 26 | |
| 9 | 2017 | 26 | |
| 10 | 2011 | 23 | |
| 11 | 2020 | 22 | |
| 12 | 2012 | 20 | |
| 13 | 2009 | 19 | |
| 14 | 2016 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2018 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2020 | 4 |
About Dave Tang
Dave Tang is a scholar working on Molecular Biology, Genetics, Cancer Research, Pulmonary and Respiratory Medicine and Rheumatology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Renal and related cancers (3 papers), Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (3 papers), Renal cell carcinoma treatment (2 papers), Single-cell and spatial transcriptomics (2 papers), RNA Research and Splicing (2 papers), Cancer-related molecular mechanisms research (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Cancer Research (200 citations), Genetics (356 citations), Molecular Biology (879 citations), Urology (45 citations) and Pulmonary and Respiratory Medicine (138 citations). Dave Tang has collaborated with scholars based in Australia, Italy and United States. Frequent co-authors include Piero Carninci, Alka Saxena, Viviana Anelli, Marina Mione, Sofia Francia, Flavia Michelini, Michiel de Hoon, Fabrizio d’Adda di Fagagna, Sean M. Grimmond and Darrin F. Taylor. Their work appears in journals such as Developmental Biology, Scientific Reports, BMC Genomics, PLoS ONE and Bioinformatics.
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.