Anna Tsykin
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Cancer Research top 0.2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 6
- Cancer, Hypoxia, and Metabolism 2
-
- Head and Neck Cancer Studies 3
- Co-authors
- Gregory J. Goodall (18 shared papers)Andrew G. Bert (3 shared papers)Yeesim Khew‐Goodall (3 shared papers)Philip A. Gregory (2 shared papers)Gelareh Farshid (2 shared papers)Mathew Alexander Vadas (2 shared papers)Simon Charles Barry (1 shared paper)Emily L. Paterson (1 shared paper)
- Journals
- Bioinformatics (2 papers)BMC Bioinformatics (2 papers)Nucleic Acids Research (2 papers)Bone (1 paper)Physiological Genomics (1 paper)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Anna Tsykin
36 papers receiving 5.9k citations
Anna Tsykin's Hit Papers
Peers
Comparison fields: 5 of 132
- Virology 959
- Cancer Research 2.6k
- Molecular Biology 3.3k
- Oncology 924
- Immunology 675
Countries citing papers authored by Anna Tsykin
This map shows the geographic impact of Anna Tsykin'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 Anna Tsykin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Tsykin more than expected).
Fields of papers citing papers by Anna Tsykin
This network shows the impact of papers produced by Anna Tsykin. 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 Anna Tsykin. The network helps show where Anna Tsykin may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Tsykin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The miR-200 family and miR-205 regulate epithelial to mesenchymal transition by targeting ZEB1 and SIP1 Hit paper breakdown → | 2008 | 3267 |
| 2 | Genomic Structure of an Attenuated Quasi Species of HIV-1 from a Blood Transfusion Donor and Recipients Hit paper breakdown → | 1995 | 1015 |
| 3 | 2007 | 159 | |
| 4 | 1989 | 136 | |
| 5 | 2010 | 120 | |
| 6 | 2014 | 118 | |
| 7 | 1990 | 113 | |
| 8 | 2008 | 98 | |
| 9 | 2010 | 79 | |
| 10 | 2010 | 77 | |
| 11 | 2013 | 70 | |
| 12 | 2009 | 69 | |
| 13 | 2014 | 58 | |
| 14 | 2017 | 58 | |
| 15 | 2015 | 56 | |
| 16 | 2009 | 49 | |
| 17 | 2009 | 45 | |
| 18 | 2004 | 43 | |
| 19 | 2007 | 43 | |
| 20 | 2012 | 41 |
About Anna Tsykin
Anna Tsykin is a scholar working on Cancer Research, Otorhinolaryngology, Molecular Biology, Virology and Hepatology, having authored 36 papers that have together received 6.0k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), RNA Research and Splicing (6 papers), Cancer-related molecular mechanisms research (6 papers), Head and Neck Cancer Studies (3 papers), Circular RNAs in diseases (3 papers), HIV Research and Treatment (2 papers), Oral health in cancer treatment (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Virology (959 citations), Cancer Research (2.6k citations), Molecular Biology (3.3k citations), Oncology (924 citations) and Immunology (675 citations). Anna Tsykin has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Gregory J. Goodall, Andrew G. Bert, Yeesim Khew‐Goodall, Philip A. Gregory, Gelareh Farshid, Mathew Alexander Vadas, Simon Charles Barry, Emily L. Paterson, Blair Hopwood and Nicola L. Fazzalari. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Nucleic Acids Research, Bone and Physiological Genomics.
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.