Alexander S. Brodsky
- Aging top 5%
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 7
- Cancer, Lipids, and Metabolism 5
- MicroRNA in disease regulation 4
- Molecular Biology top 2%
- RNA Research and Splicing 14
- RNA and protein synthesis mechanisms 8
- Genomics and Chromatin Dynamics 5
- Genetics top 2%
- Oncology top 5%
-
- Cell Adhesion Molecules Research 5
-
- Ferroptosis and cancer prognosis 4
- Co-authors
- Pamela A. SilverClifford A. MeyerEdward A. FoxJason S. CarrollX. Shirley LiuMyles BrownJérôme EeckhouteTimothy R. Geistlinger
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Alexander S. Brodsky
53 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 89
- Cancer Research 667
- Molecular Biology 2.8k
- Genetics 1.0k
- Oncology 608
Countries citing papers authored by Alexander S. Brodsky
This map shows the geographic impact of Alexander S. Brodsky'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 Alexander S. Brodsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander S. Brodsky more than expected).
Fields of papers citing papers by Alexander S. Brodsky
This network shows the impact of papers produced by Alexander S. Brodsky. 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 Alexander S. Brodsky. The network helps show where Alexander S. Brodsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexander S. Brodsky, 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 | 2023 | 1 | |
| 2 | 2022 | 12 | |
| 3 | 2021 | 22 | |
| 4 | 2020 | 14 | |
| 5 | 2019 | 68 | |
| 6 | 2016 | 38 | |
| 7 | 2016 | 17 | |
| 8 | 2016 | 26 | |
| 9 | 2016 | 62 | |
| 10 | 2014 | 44 | |
| 11 | 2014 | 52 | |
| 12 | 2013 | 77 | |
| 13 | 2011 | 7 | |
| 14 | 2010 | 139 | |
| 15 | 2006 | 46 | |
| 16 | 2006 | 67 | |
| 17 | Genome-wide analysis of estrogen receptor binding sitesbreakdown → | 2006 | 1078 |
| 18 | Chromosome-Wide Mapping of Estrogen Receptor Binding Reveals Long-Range Regulation Requiring the Forkhead Protein FoxA1breakdown → | 2005 | 1054 |
| 19 | 2002 | 13 | |
| 20 | 2002 | 33 |
About Alexander S. Brodsky
Alexander S. Brodsky is a scholar working on Cancer Research, Virology and Immunology and Allergy, having authored 53 papers that have together received 3.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (14 papers), RNA and protein synthesis mechanisms (8 papers), Cancer-related molecular mechanisms research (7 papers), Genomics and Chromatin Dynamics (5 papers), Cancer, Lipids, and Metabolism (5 papers), Cell Adhesion Molecules Research (5 papers), MicroRNA in disease regulation (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Aging (89 citations), Cancer Research (667 citations) and Molecular Biology (2.8k citations). Alexander S. Brodsky has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Pamela A. Silver, Clifford A. Meyer, Edward A. Fox, Jason S. Carroll, X. Shirley Liu, Myles Brown, Jérôme Eeckhoute, Timothy R. Geistlinger, Wei Li and James R. Williamson. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids 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.