Miguel Brown
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
Papers in
-
- RNA modifications and cancer 4
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 2
-
- MicroRNA in disease regulation 8
- Cancer-related molecular mechanisms research 5
- Co-authors
- Thomas Tuschl (13 shared papers)Aleksandra Mihailović (7 shared papers)Markus Hafner (7 shared papers)Pavel Morozov (8 shared papers)Zev Williams (3 shared papers)Iddo Z. Ben‐Dov (3 shared papers)Rony T. Elias (1 shared paper)Zev Rosenwaks (1 shared paper)
- Journals
- RNA (3 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Reports (1 paper)American Journal of Kidney Diseases (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Miguel Brown
19 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 932
- Molecular Biology 1.2k
- Immunology 178
- Aging 10
- Oncology 131
Countries citing papers authored by Miguel Brown
This map shows the geographic impact of Miguel Brown'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 Miguel Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Brown more than expected).
Fields of papers citing papers by Miguel Brown
This network shows the impact of papers produced by Miguel Brown. 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 Miguel Brown. The network helps show where Miguel Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Miguel Brown, 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 | 2013 | 290 | |
| 2 | 2011 | 279 | |
| 3 | 2011 | 257 | |
| 4 | 2014 | 186 | |
| 5 | 2017 | 148 | |
| 6 | 2013 | 136 | |
| 7 | 2006 | 116 | |
| 8 | 2018 | 89 | |
| 9 | 2012 | 57 | |
| 10 | 2014 | 56 | |
| 11 | 2019 | 39 | |
| 12 | 2012 | 37 | |
| 13 | 2013 | 35 | |
| 14 | 2009 | 34 | |
| 15 | 2012 | 30 | |
| 16 | 2020 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2011 | 2 | |
| 19 | Abstract 10918: High-Throughput Sequencing Analysis of microRNA Profile Dynamics in Patients with Advanced Heart Failure Undergoing Ventricular Assist Device Placement in Comparison to Normal Adult and Fetal Cardiac Expression | 2011 | 1 |
About Miguel Brown
Miguel Brown is a scholar working on Molecular Biology, Cancer Research, Immunology, Electrical and Electronic Engineering and Surgery, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (4 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Fuel Cells and Related Materials (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cancer Research (932 citations), Molecular Biology (1.2k citations), Immunology (178 citations), Aging (10 citations) and Oncology (131 citations). Miguel Brown has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Thomas Tuschl, Aleksandra Mihailović, Markus Hafner, Pavel Morozov, Zev Williams, Iddo Z. Ben‐Dov, Rony T. Elias, Zev Rosenwaks, Tasos Gogakos and Thalia A. Farazi. Their work appears in journals such as RNA, Proceedings of the National Academy of Sciences, Cell Reports, American Journal of Kidney Diseases and Genome biology.
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.