Anna Git
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Molecular Biology top 10%
- RNA Research and Splicing
- Advanced biosensing and bioanalysis techniques
- Gene expression and cancer classification
- Developmental Biology and Gene Regulation
Papers in
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- MicroRNA in disease regulation 8
- Breast Cancer Treatment Studies 2
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- RNA Research and Splicing 7
- Developmental Biology and Gene Regulation 2
- RNA and protein synthesis mechanisms 1
- Microbial Metabolic Engineering and Bioproduction 1
- Co-authors
- Carlos Caldas (10 shared papers)Heidi Dvinge (2 shared papers)Mali Salmon‐Divon (2 shared papers)Michelle Osborne (1 shared paper)Claudia Kutter (1 shared paper)Paul Bertone (1 shared paper)James Hadfield (1 shared paper)Nancy Standart (6 shared papers)
- Journals
- RNA (5 papers)Nature (2 papers)Scientific Reports (2 papers)Molecular Cell (2 papers)Molecular Biology and Evolution (1 paper)
- Partner nations
- United KingdomGermanyIsrael
In The Last Decade
Anna Git
25 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 90
- Cancer Research 805
- Molecular Biology 678
- Genetics 89
- Oncology 67
- Immunology 35
Countries citing papers authored by Anna Git
This map shows the geographic impact of Anna Git'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 Git with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Git more than expected).
Fields of papers citing papers by Anna Git
This network shows the impact of papers produced by Anna Git. 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 Git. The network helps show where Anna Git may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Git, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 574 | |
| 2 | 2013 | 346 | |
| 3 | 2011 | 111 | |
| 4 | 1999 | 60 | |
| 5 | 2002 | 54 | |
| 6 | 2014 | 53 | |
| 7 | 2004 | 51 | |
| 8 | 2013 | 51 | |
| 9 | 1999 | 50 | |
| 10 | 2016 | 49 | |
| 11 | 2018 | 36 | |
| 12 | 2015 | 35 | |
| 13 | 2018 | 35 | |
| 14 | 2015 | 34 | |
| 15 | 2020 | 28 | |
| 16 | 2003 | 24 | |
| 17 | 2008 | 23 | |
| 18 | 2018 | 22 | |
| 19 | 2009 | 20 | |
| 20 | 2016 | 12 |
About Anna Git
Anna Git is a scholar working on Cancer Research, Molecular Biology, Chemical Health and Safety, Environmental Chemistry and Information Systems and Management, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), RNA Research and Splicing (7 papers), Breast Cancer Treatment Studies (2 papers), Developmental Biology and Gene Regulation (2 papers), Chemical Safety and Risk Management (1 paper), RNA and protein synthesis mechanisms (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Metalloenzymes and iron-sulfur proteins (1 paper). The work is most often cited by research in Cancer Research (805 citations), Molecular Biology (678 citations), Genetics (89 citations), Oncology (67 citations) and Immunology (35 citations). Anna Git has collaborated with scholars based in United Kingdom, Germany and Israel. Frequent co-authors include Carlos Caldas, Heidi Dvinge, Mali Salmon‐Divon, Michelle Osborne, Claudia Kutter, Paul Bertone, James Hadfield, Nancy Standart, Suet‐Feung Chin and Christina N. Curtis. Their work appears in journals such as RNA, Nature, Scientific Reports, Molecular Cell and Molecular Biology and Evolution.
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.