Miguel Brown

9.5k total citations
19 papers, 1.8k citations indexed

About

Miguel Brown is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Miguel Brown has authored 19 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Miguel Brown's work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers) and RNA modifications and cancer (5 papers). Miguel Brown is often cited by papers focused on MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (8 papers) and RNA modifications and cancer (5 papers). Miguel Brown collaborates with scholars based in United States, Netherlands and Germany. Miguel Brown's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Blood.

In The Last Decade

Miguel Brown

19 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Miguel Brown United States 15 1.4k 1.0k 198 137 63 19 1.8k
Carlos A. Melo Portugal 13 2.0k 1.5× 1.3k 1.3× 202 1.0× 168 1.2× 57 0.9× 18 2.4k
Frédéric Koch Germany 17 2.3k 1.7× 918 0.9× 176 0.9× 84 0.6× 49 0.8× 28 2.5k
Vihandha O. Wickramasinghe United Kingdom 14 1.6k 1.1× 708 0.7× 83 0.4× 75 0.5× 33 0.5× 19 1.7k
Fabienne Depoortere Belgium 5 1.4k 1.0× 722 0.7× 193 1.0× 136 1.0× 41 0.7× 5 1.6k
Run-Wen Yao China 7 2.3k 1.6× 1.6k 1.6× 120 0.6× 59 0.4× 74 1.2× 12 2.5k
Aurélie Melchior France 7 1.5k 1.1× 715 0.7× 257 1.3× 63 0.5× 57 0.9× 7 1.6k
Mónica Schiappacassi Italy 23 955 0.7× 416 0.4× 156 0.8× 514 3.8× 59 0.9× 42 1.6k
Danielle Johnston Canada 14 1.3k 0.9× 771 0.8× 79 0.4× 103 0.8× 24 0.4× 29 1.6k
Madhuri Warren United Kingdom 10 1.2k 0.9× 1.2k 1.1× 522 2.6× 164 1.2× 19 0.3× 16 1.8k
Nik Matthews United Kingdom 17 1.3k 0.9× 414 0.4× 233 1.2× 411 3.0× 54 0.9× 26 1.9k

Countries citing papers authored by Miguel Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Miguel Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Brown. A scholar is included among the top collaborators of Miguel Brown 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 Miguel Brown. Miguel Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Kim, Jung, Ammar S. Naqvi, Rebecca Kaufman, et al.. (2024). AutoGVP: a dockerized workflow integrating ClinVar and InterVar germline sequence variant classification. Bioinformatics. 40(3). 4 indexed citations
2.
Gaonkar, Krutika S., Fédérico Marini, Komal S. Rathi, et al.. (2020). annoFuse: an R Package to annotate, prioritize, and interactively explore putative oncogenic RNA fusions. BMC Bioinformatics. 21(1). 577–577. 7 indexed citations
3.
Akat, Kemal M., Youngmin A. Lee, Arlene Hurley, et al.. (2019). Detection of circulating extracellular mRNAs by modified small-RNA-sequencing analysis. JCI Insight. 4(9). 38 indexed citations
4.
Romero‐Calvo, Isabel, Christopher R. Weber, Mohana Ray, et al.. (2018). Human Organoids Share Structural and Genetic Features with Primary Pancreatic Adenocarcinoma Tumors. Molecular Cancer Research. 17(1). 70–83. 86 indexed citations
5.
Gogakos, Tasos, Miguel Brown, Aitor Garzia, et al.. (2017). Characterizing Expression and Processing of Precursor and Mature Human tRNAs by Hydro-tRNAseq and PAR-CLIP. Cell Reports. 20(6). 1463–1475. 145 indexed citations
6.
Farazi, Thalia A., Jelle J. ten Hoeve, Miguel Brown, et al.. (2014). Identification of distinct miRNA target regulation between breast cancer molecular subtypes using AGO2-PAR-CLIP and patient datasets. Genome biology. 15(1). R9–R9. 56 indexed citations
7.
Akat, Kemal M., Pavel Morozov, Miguel Brown, et al.. (2014). Comparative RNA-sequencing analysis of myocardial and circulating small RNAs in human heart failure and their utility as biomarkers. Proceedings of the National Academy of Sciences. 111(30). 11151–11156. 185 indexed citations
8.
Brown, Miguel, Hemant Suryawanshi, Markus Hafner, Thalia A. Farazi, & Thomas Tuschl. (2013). Mammalian miRNA curation through next-generation sequencing. Frontiers in Genetics. 4. 145–145. 35 indexed citations
9.
Hafner, Markus, Klaas E.A. Max, Pradeep Bandaru, et al.. (2013). Identification of mRNAs bound and regulated by human LIN28 proteins and molecular requirements for RNA recognition. RNA. 19(5). 613–626. 135 indexed citations
10.
Williams, Zev, Iddo Z. Ben‐Dov, Rony T. Elias, et al.. (2013). Comprehensive profiling of circulating microRNA via small RNA sequencing of cDNA libraries reveals biomarker potential and limitations. Proceedings of the National Academy of Sciences. 110(11). 4255–4260. 288 indexed citations
11.
Juranek, Stefan, Yaël Altuvia, Miguel Brown, et al.. (2012). A genome-wide view of the expression and processing patterns of Thermus thermophilus HB8 CRISPR RNAs. RNA. 18(4). 783–794. 30 indexed citations
12.
Farazi, Thalia A., Miguel Brown, Pavel Morozov, et al.. (2012). Bioinformatic analysis of barcoded cDNA libraries for small RNA profiling by next-generation sequencing. Methods. 58(2). 171–187. 57 indexed citations
13.
Luo, Guan‐Zheng, Markus Hafner, Zhimin Shi, et al.. (2012). Genome-wide annotation and analysis of zebra finch microRNA repertoire reveal sex-biased expression. BMC Genomics. 13(1). 727–727. 37 indexed citations
14.
Akat, Kemal M., Aleksandra Mihailović, Zev Williams, et al.. (2011). 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. Circulation. 124. 1 indexed citations
15.
Farazi, Thalia A., Hugo M. Horlings, Jelle J. ten Hoeve, et al.. (2011). MicroRNA Sequence and Expression Analysis in Breast Tumors by Deep Sequencing. Cancer Research. 71(13). 4443–4453. 275 indexed citations
16.
Hafner, Markus, Neil Renwick, Miguel Brown, et al.. (2011). RNA-ligase-dependent biases in miRNA representation in deep-sequenced small RNA cDNA libraries. RNA. 17(9). 1697–1712. 256 indexed citations
17.
Ben‐Dov, Iddo Z., et al.. (2011). 30 Profiling Urine Cell and Exosome Microrna Using a Barcoded Small RNA Deep Sequencing Approach. American Journal of Kidney Diseases. 57(4). B24–B24. 2 indexed citations
18.
Rebhahn, Jonathan A., et al.. (2009). Modulation of Single-Cell IgG Secretion Frequency and Rates in Human Memory B Cells by CpG DNA, CD40L, IL-21, and Cell Division. The Journal of Immunology. 183(5). 3177–3187. 33 indexed citations
19.
Huggins, Jennifer, Raymond E. Felgar, Chungwen Wei, et al.. (2006). CpG DNA activation and plasma-cell differentiation of CD27− naive human B cells. Blood. 109(4). 1611–1619. 113 indexed citations

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.

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