Anna M. Krichevsky
- Cancer Research top 0.02%
- MicroRNA in disease regulation 47
- Cancer-related molecular mechanisms research 22
- Molecular Biology top 0.1%
- Circular RNAs in diseases 23
- Extracellular vesicles in disease 15
- RNA Interference and Gene Delivery 11
- RNA Research and Splicing 10
- RNA and protein synthesis mechanisms 6
- RNA regulation and disease 6
- Neurology top 0.5%
- Developmental Neuroscience top 0.5%
- Genetics top 0.5%
- Co-authors
- Kenneth S. KosikJennifer A. ChanXandra O. BreakefieldGalina GabrielyJohan SkogBob S. CarterTom WürdingerDimphna H. Meijer
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesNetherlandsChina
In The Last Decade
Anna M. Krichevsky
76 papers receiving 17.4k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cancer Research 11.3k
- Molecular Biology 14.2k
- Neurology 1.1k
- Developmental Neuroscience 531
- Genetics 1.1k
Countries citing papers authored by Anna M. Krichevsky
This map shows the geographic impact of Anna M. Krichevsky'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 M. Krichevsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna M. Krichevsky more than expected).
Fields of papers citing papers by Anna M. Krichevsky
This network shows the impact of papers produced by Anna M. Krichevsky. 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 M. Krichevsky. The network helps show where Anna M. Krichevsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anna M. Krichevsky, 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 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 31 | |
| 5 | 2022 | 20 | |
| 6 | 2022 | 19 | |
| 7 | 2019 | 20 | |
| 8 | 2018 | 128 | |
| 9 | 2015 | 260 | |
| 10 | 2012 | 381 | |
| 11 | 2011 | 245 | |
| 12 | 2010 | 129 | |
| 13 | miR‐21: a small multi‐faceted RNAbreakdown → | 2008 | 838 |
| 14 | 2008 | 352 | |
| 15 | 2008 | 289 | |
| 16 | 2007 | 330 | |
| 17 | MicroRNA-21 Is an Antiapoptotic Factor in Human Glioblastoma Cellsbreakdown → | 2005 | 2071 |
| 18 | 2005 | 362 | |
| 19 | 2001 | 435 | |
| 20 | 2000 | 21 |
About Anna M. Krichevsky
Anna M. Krichevsky is a scholar working on Cancer Research, Developmental Neuroscience and Molecular Biology, having authored 77 papers that have together received 17.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (47 papers), Circular RNAs in diseases (23 papers), Cancer-related molecular mechanisms research (22 papers), Extracellular vesicles in disease (15 papers), RNA Interference and Gene Delivery (11 papers), RNA Research and Splicing (10 papers), RNA and protein synthesis mechanisms (6 papers) and RNA regulation and disease (6 papers). The work is most often cited by research in Cancer Research (11.3k citations), Molecular Biology (14.2k citations) and Neurology (1.1k citations). Anna M. Krichevsky has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Kenneth S. Kosik, Jennifer A. Chan, Xandra O. Breakefield, Galina Gabriely, Johan Skog, Bob S. Carter, Tom Würdinger, Dimphna H. Meijer, William T. Curry and Sjoerd van Rijn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.