Daniel Briskin
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- Extracellular vesicles in disease
Papers in
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 3
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- RNA modifications and cancer 5
- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 3
- Circular RNAs in diseases 2
- Renal and related cancers 1
- Co-authors
- Thomas Tuschl (6 shared papers)David P. Bartel (1 shared paper)Peter Y. Wang (1 shared paper)Yang Li (1 shared paper)Craig Meyers (1 shared paper)Xing Xie (1 shared paper)Zhi‐Ming Zheng (1 shared paper)Louise T. Chow (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Cell Reports (2 papers)PLoS Genetics (1 paper)Genes Chromosomes and Cancer (1 paper)Upsala Journal of Medical Sciences (1 paper)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Daniel Briskin
10 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Cancer Research 485
- Molecular Biology 705
- Nephrology 44
- Pathology and Forensic Medicine 99
- Rheumatology 68
Countries citing papers authored by Daniel Briskin
This map shows the geographic impact of Daniel Briskin'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 Daniel Briskin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Briskin more than expected).
Fields of papers citing papers by Daniel Briskin
This network shows the impact of papers produced by Daniel Briskin. 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 Daniel Briskin. The network helps show where Daniel Briskin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Briskin, 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 | 2014 | 182 | |
| 2 | 2014 | 176 | |
| 3 | 2013 | 143 | |
| 4 | 2013 | 142 | |
| 5 | 2014 | 128 | |
| 6 | 2015 | 97 | |
| 7 | 2013 | 83 | |
| 8 | 2020 | 65 | |
| 9 | 2012 | 38 | |
| 10 | 2017 | 23 |
About Daniel Briskin
Daniel Briskin is a scholar working on Cancer Research, Molecular Biology, Oral Surgery, Obstetrics and Gynecology and Rheumatology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (3 papers), RNA and protein synthesis mechanisms (3 papers), Circular RNAs in diseases (2 papers), Oral and Maxillofacial Pathology (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Cancer Research (485 citations), Molecular Biology (705 citations), Nephrology (44 citations), Pathology and Forensic Medicine (99 citations) and Rheumatology (68 citations). Daniel Briskin has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Thomas Tuschl, David P. Bartel, Peter Y. Wang, Yang Li, Craig Meyers, Xing Xie, Zhi‐Ming Zheng, Louise T. Chow, Xiaohong Wang and Markus Hafner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Reports, PLoS Genetics, Genes Chromosomes and Cancer and Upsala Journal of Medical Sciences.
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.