Amy Tang
- Molecular Biology top 5%
- Genetics top 5%
- Cancer Research top 10%
- Neurology top 5%
- Genetics top 5%
- Co-authors
- Neil BrockdorffTatyana B. NesterovaEric J. HuangArie P. OtteMitsuhiro EndohMiguel VidalRika WakaoJacqueline E. Mermoud
- Topics
- Cancer-related gene regulation (5 papers)Epigenetics and DNA Methylation (4 papers)Amyotrophic Lateral Sclerosis Research (4 papers)
- Cited by
- Molecular BiologyGenetics
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Investigation
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Amy Tang
24 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 2.1k
- Genetics 560
- Cancer Research 301
- Neurology 298
- Genetics 227
Countries citing papers authored by Amy Tang
This map shows the geographic impact of Amy 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 Amy Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Tang more than expected).
Fields of papers citing papers by Amy Tang
This network shows the impact of papers produced by Amy 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 Amy Tang. The network helps show where Amy Tang may publish in the future.
Co-authorship network of co-authors of Amy Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Amy Tang. A scholar is included among the top collaborators of Amy 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 Amy Tang. Amy Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 22 | |
| 5 | 29 | |
| 6 | 21 | |
| 7 | 64 | |
| 8 | 53 | |
| 9 | ArrayExpress update—simplifying data submissionsbreakdown → | 509 |
| 10 | 207 | |
| 11 | 48 | |
| 12 | 148 | |
| 13 | 21 | |
| 14 | 46 | |
| 15 | 46 | |
| 16 | 68 | |
| 17 | 6 | |
| 18 | Polycomb Group Proteins Ring1A/B Link Ubiquitylation of Histone H2A to Heritable Gene Silencing and X Inactivationbreakdown → | 728 |
| 19 | 84 | |
| 20 | 44 |
About Amy Tang
Amy Tang is a scholar working on Molecular Biology, Genetics and Neurology, having authored 25 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related gene regulation (5 papers), Epigenetics and DNA Methylation (4 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Genetics (227 citations) and Genetics (560 citations). Amy Tang has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Neil Brockdorff, Tatyana B. Nesterova, Eric J. Huang, Arie P. Otte, Mitsuhiro Endoh, Miguel Vidal, Rika Wakao, Jacqueline E. Mermoud, Haruhiko Koseki and Ruth Appanah. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.
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.