Aaron M. Berlin

8.0k total citations · 1 hit paper
13 papers, 2.3k citations indexed

About

Aaron M. Berlin is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Aaron M. Berlin has authored 13 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Ecology and 3 papers in Plant Science. Recurrent topics in Aaron M. Berlin's work include Genomics and Phylogenetic Studies (10 papers), Bacteriophages and microbial interactions (5 papers) and RNA and protein synthesis mechanisms (3 papers). Aaron M. Berlin is often cited by papers focused on Genomics and Phylogenetic Studies (10 papers), Bacteriophages and microbial interactions (5 papers) and RNA and protein synthesis mechanisms (3 papers). Aaron M. Berlin collaborates with scholars based in United States, Australia and Sweden. Aaron M. Berlin's co-authors include Andreas Gnirke, Chad Nusbaum, Terrance Shea, David B. Jaffe, Iain MacCallum, Sante Gnerre, Filipe J. Ribeiro, Ted Sharpe, Dariusz Przybylski and Bruce J. Walker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Aaron M. Berlin

13 papers receiving 2.3k citations

Hit Papers

High-quality draft assemblies of mammalian genomes from m... 2010 2026 2015 2020 2010 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. High-quality draft assemblies of mammalian genomes from massively parallel sequence data
    2010 1.0k citations Sante Gnerre, Iain MacCallum et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron M. Berlin United States 12 1.6k 756 621 324 190 13 2.3k
Sonja J. Prohaska Germany 25 1.9k 1.2× 410 0.5× 466 0.8× 496 1.5× 207 1.1× 64 2.5k
Robert Vaser Croatia 5 1.8k 1.1× 481 0.6× 761 1.2× 667 2.1× 133 0.7× 10 2.9k
Shengkang Li China 6 1.2k 0.8× 360 0.5× 532 0.9× 408 1.3× 144 0.8× 13 2.0k
François Serra Spain 16 1.8k 1.1× 335 0.4× 778 1.3× 514 1.6× 81 0.4× 27 2.6k
Erwin L. van Dijk France 11 1.8k 1.1× 296 0.4× 438 0.7× 423 1.3× 412 2.2× 15 2.5k
Omri Wurtzel Israel 19 2.3k 1.4× 695 0.9× 354 0.6× 616 1.9× 156 0.8× 26 2.7k
Aleksandr Morgulis United States 6 1.3k 0.8× 450 0.6× 547 0.9× 388 1.2× 59 0.3× 8 2.3k
Pascal Hingamp France 23 1.2k 0.7× 988 1.3× 372 0.6× 241 0.7× 60 0.3× 33 2.0k
Richard Desper United States 16 1.6k 1.0× 430 0.6× 483 0.8× 620 1.9× 404 2.1× 21 2.4k
Anton I. Petrov United States 14 1.8k 1.1× 317 0.4× 485 0.8× 208 0.6× 272 1.4× 24 2.3k

Countries citing papers authored by Aaron M. Berlin

Since Specialization
Citations

This map shows the geographic impact of Aaron M. Berlin'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 Aaron M. Berlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron M. Berlin more than expected).

Fields of papers citing papers by Aaron M. Berlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron M. Berlin. 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 Aaron M. Berlin. The network helps show where Aaron M. Berlin may publish in the future.

Co-authorship network of co-authors of Aaron M. Berlin

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

All Works

13 of 13 papers shown
1.
Stevenson, Kristen E., Aliyah R. Sohani, Russell J.H. Ryan, et al.. (2020). Simultaneous Identification of Cell of Origin, Translocations, and Hotspot Mutations in Diffuse Large B-Cell Lymphoma Using a Single RNA-Sequencing Assay. American Journal of Clinical Pathology. 155(5). 748–754. 8 indexed citations
2.
Li, Xiaodong, Mona Anand, Josh Haimes, et al.. (2016). The application of next‐generation sequencing‐based molecular diagnostics in endometrial stromal sarcoma. Histopathology. 69(4). 551–559. 21 indexed citations
3.
Dunn, Gavin P., Hiu Wing Cheung, Pankaj K. Agarwalla, et al.. (2014). In vivo multiplexed interrogation of amplified genes identifies GAB2 as an ovarian cancer oncogene. Proceedings of the National Academy of Sciences. 111(3). 1102–1107. 33 indexed citations
4.
Keane, Michael P., Thomas Craig, Jessica Alföldi, et al.. (2014). The Naked Mole Rat Genome Resource: facilitating analyses of cancer and longevity-related adaptations. Bioinformatics. 30(24). 3558–3560. 60 indexed citations
5.
Adiconis, Xian, Diego Borges-Rivera, Rahul Satija, et al.. (2013). Comprehensive comparative analysis of RNA sequencing methods for degraded or low input samples. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 332 indexed citations
6.
Adiconis, Xian, Diego Borges-Rivera, Rahul Satija, et al.. (2013). Comparative analysis of RNA sequencing methods for degraded or low-input samples. Nature Methods. 10(7). 623–629. 18 indexed citations
7.
Williams, Louise, Diana Tabbaa, Na Li, et al.. (2012). Paired-end sequencing of Fosmid libraries by Illumina. Genome Research. 22(11). 2241–2249. 40 indexed citations
8.
Ribeiro, Filipe J., Dariusz Przybylski, Shuangye Yin, et al.. (2012). Finished bacterial genomes from shotgun sequence data. Genome Research. 22(11). 2270–2277. 155 indexed citations
9.
Malboeuf, Christine M., Xiao Yang, Patrick Charlebois, et al.. (2012). Complete viral RNA genome sequencing of ultra-low copy samples by sequence-independent amplification. Nucleic Acids Research. 41(1). e13–e13. 61 indexed citations
10.
Gnerre, Sante, Iain MacCallum, Dariusz Przybylski, et al.. (2010). High-quality draft assemblies of mammalian genomes from massively parallel sequence data. Proceedings of the National Academy of Sciences. 108(4). 1513–1518. 1037 indexed citations breakdown →
11.
Sullivan, Matthew B., Katherine Huang, J. Cesar Ignacio‐Espinoza, et al.. (2010). Genomic analysis of oceanic cyanobacterial myoviruses compared with T4‐like myoviruses from diverse hosts and environments. Environmental Microbiology. 12(11). 3035–3056. 270 indexed citations
12.
Henn, Matthew R., Matthew B. Sullivan, Nicole Stange-Thomann, et al.. (2010). Analysis of High-Throughput Sequencing and Annotation Strategies for Phage Genomes. PLoS ONE. 5(2). e9083–e9083. 69 indexed citations
13.
Rodrigue, Sébastien, Rex R. Malmstrom, Aaron M. Berlin, et al.. (2009). Whole Genome Amplification and De novo Assembly of Single Bacterial Cells. PLoS ONE. 4(9). e6864–e6864. 194 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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