Anna M. Krichevsky
- Molecular Biology top 0.1%
- Cancer Research top 0.02%
- Immunology top 1%
- Genetics top 0.5%
- Neurology top 0.5%
- Co-authors
- Kenneth S. KosikJennifer A. ChanXandra O. BreakefieldGalina GabrielyJohan SkogBob S. CarterTom WürdingerDimphna H. Meijer
- Topics
- MicroRNA in disease regulation (47 papers)Circular RNAs in diseases (23 papers)Cancer-related molecular mechanisms research (22 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- 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
- Molecular Biology 14.2k
- Cancer Research 11.3k
- Immunology 1.6k
- Genetics 1.1k
- Neurology 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 of co-authors of Anna M. Krichevsky
This figure shows the co-authorship network connecting the top 25 collaborators of Anna M. Krichevsky. A scholar is included among the top collaborators of Anna M. Krichevsky 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 Anna M. Krichevsky. Anna M. Krichevsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 31 | |
| 5 | 20 | |
| 6 | 19 | |
| 7 | 20 | |
| 8 | 128 | |
| 9 | 260 | |
| 10 | 381 | |
| 11 | 245 | |
| 12 | 129 | |
| 13 | miR‐21: a small multi‐faceted RNAbreakdown → | 838 |
| 14 | 352 | |
| 15 | 289 | |
| 16 | 330 | |
| 17 | MicroRNA-21 Is an Antiapoptotic Factor in Human Glioblastoma Cellsbreakdown → | 2071 |
| 18 | 362 | |
| 19 | 435 | |
| 20 | 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) and Cancer-related molecular mechanisms research (22 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.