Mark L. Borowsky
- Neurology top 0.5%
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 4
- Biological Psychiatry top 2%
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 7
- RNA Research and Splicing 7
- Genomics and Phylogenetic Studies 6
- RNA modifications and cancer 6
- Epigenetics and DNA Methylation 5
- CRISPR and Genetic Engineering 4
- Immunology top 5%
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- Chromosomal and Genetic Variations 5
- Co-authors
- Toshiro K. OhsumiRobert E. KingstonJoseph El KhouryTerry K. MeansSuzanne E. HickmanLi-chong WangDaniel GrauJeannie T. Lee
- Journals
- Proceedings of the National Academy of Sciences (4 papers)IEEE Transactions on Visualization and Computer Graphics (2 papers)The EMBO Journal (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Mark L. Borowsky
34 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Neurology 1.0k
- Cancer Research 930
- Biological Psychiatry 154
- Molecular Biology 2.7k
- Immunology 667
Countries citing papers authored by Mark L. Borowsky
This map shows the geographic impact of Mark L. Borowsky'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 Mark L. Borowsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark L. Borowsky more than expected).
Fields of papers citing papers by Mark L. Borowsky
This network shows the impact of papers produced by Mark L. Borowsky. 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 Mark L. Borowsky. The network helps show where Mark L. Borowsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark L. Borowsky, 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 | 2020 | 10 | |
| 2 | 2019 | 9 | |
| 3 | 2016 | 29 | |
| 4 | 2013 | 24 | |
| 5 | 2013 | 20 | |
| 6 | 2013 | 65 | |
| 7 | The microglial sensome revealed by direct RNA sequencingbreakdown → | 2013 | 1151 |
| 8 | 2012 | 124 | |
| 9 | 2012 | 57 | |
| 10 | 2011 | 336 | |
| 11 | 2011 | 120 | |
| 12 | 2011 | 180 | |
| 13 | 2011 | 52 | |
| 14 | Genome-wide Identification of Polycomb-Associated RNAs by RIP-seqbreakdown → | 2010 | 798 |
| 15 | 2009 | 72 | |
| 16 | 2009 | 253 | |
| 17 | 2008 | 126 | |
| 18 | 2005 | 52 | |
| 19 | 1998 | 121 | |
| 20 | 1994 | 12 |
About Mark L. Borowsky
Mark L. Borowsky is a scholar working on Clinical Biochemistry, Molecular Biology and Cancer Research, having authored 35 papers that have together received 4.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (7 papers), Genomics and Phylogenetic Studies (6 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (5 papers), Chromosomal and Genetic Variations (5 papers), CRISPR and Genetic Engineering (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Neurology (1.0k citations), Cancer Research (930 citations) and Biological Psychiatry (154 citations). Mark L. Borowsky has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Toshiro K. Ohsumi, Robert E. Kingston, Joseph El Khoury, Terry K. Means, Suzanne E. Hickman, Li-chong Wang, Daniel Grau, Jeannie T. Lee, Brad Chapman and Johnny T. Kung. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Visualization and Computer Graphics, The EMBO Journal, BMC Genomics and Genome Research.
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.