M Beer

18.6k total citations · 2 hit papers
139 papers, 8.9k citations indexed

About

M Beer is a scholar working on Molecular Biology, Nuclear and High Energy Physics and Astronomy and Astrophysics. According to data from OpenAlex, M Beer has authored 139 papers receiving a total of 8.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 23 papers in Nuclear and High Energy Physics and 18 papers in Astronomy and Astrophysics. Recurrent topics in M Beer's work include DNA and Nucleic Acid Chemistry (28 papers), RNA and protein synthesis mechanisms (27 papers) and Magnetic confinement fusion research (23 papers). M Beer is often cited by papers focused on DNA and Nucleic Acid Chemistry (28 papers), RNA and protein synthesis mechanisms (27 papers) and Magnetic confinement fusion research (23 papers). M Beer collaborates with scholars based in United States, Canada and Germany. M Beer's co-authors include G. W. Hammett, Dongwon Lee, Saeed Tavazoie, W. Dorland, Joshua T. Mendell, S. C. Cowley, Erik A. Wentzel, Georg Feldmann, Michael E. Mullendore and Tsung-Cheng Chang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

M Beer

132 papers receiving 8.5k citations

Hit Papers

Transactivation of miR-34a by p53 Broadly Influences Gene... 2000 2026 2008 2017 2007 2000 500 1000 1.5k
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. Transactivation of miR-34a by p53 Broadly Influences Gene Expression and Promotes Apoptosis
    2007 1.6k citations Tsung-Cheng Chang, Erik A. Wentzel et al. Molecular Cell profile →
  2. Comparisons and physics basis of tokamak transport models and turbulence simulations
    2000 804 citations M Beer, W. Dorland et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Beer United States 40 4.7k 2.5k 1.9k 1.8k 877 139 8.9k
Michael Newman United States 39 1.4k 0.3× 1.2k 0.5× 1.1k 0.6× 128 0.1× 311 0.4× 163 6.4k
David Park United States 35 2.4k 0.5× 208 0.1× 362 0.2× 440 0.2× 348 0.4× 197 7.9k
R. B. Campbell United States 37 1.6k 0.3× 656 0.3× 110 0.1× 205 0.1× 865 1.0× 194 6.0k
Takashi Yamazaki Japan 43 2.2k 0.5× 591 0.2× 161 0.1× 109 0.1× 596 0.7× 479 8.9k
M. Goossens Belgium 56 4.6k 1.0× 1.1k 0.4× 6.0k 3.1× 181 0.1× 81 0.1× 345 11.0k
H. Sann Germany 29 1.2k 0.2× 1.3k 0.5× 83 0.0× 186 0.1× 2.2k 2.5× 68 9.9k
Hideaki Ohgaki Japan 36 1.2k 0.3× 834 0.3× 69 0.0× 644 0.4× 332 0.4× 364 4.8k
Alberto Gobbi Italy 42 2.2k 0.5× 2.1k 0.8× 92 0.0× 563 0.3× 812 0.9× 128 8.9k
J. Da̧browski Poland 50 2.5k 0.5× 693 0.3× 111 0.1× 285 0.2× 2.0k 2.3× 316 7.7k
Иван Тодоров United States 49 2.9k 0.6× 1.0k 0.4× 341 0.2× 738 0.4× 52 0.1× 228 7.8k

Countries citing papers authored by M Beer

Since Specialization
Citations

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

Fields of papers citing papers by M Beer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Beer

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

All Works

20 of 20 papers shown
1.
Huang, Hong‐Zhong, He Li, Yan Shi, et al.. (2025). Theory and application of possibility and evidence in reliability analysis and design optimization. Liverpool John Moores University. 1(1). 15007–15007. 3 indexed citations
2.
Rosen, Bess P., Qing V. Li, Hyunwoo Cho, et al.. (2024). Parallel genome-scale CRISPR-Cas9 screens uncouple human pluripotent stem cell identity versus fitness. Nature Communications. 15(1). 8966–8966. 4 indexed citations
3.
Sajek, Marcin Piotr, M Beer, Yukiko Miyamoto, et al.. (2024). Evolutionary dynamics of polyadenylation signals and their recognition strategies in protists. Genome Research. 34(10). 1570–1581.
4.
5.
Batinovic, Steven, et al.. (2022). Tyroviruses are a new group of temperate phages that infect Bacillus species in soil environments worldwide. BMC Genomics. 23(1). 777–777. 6 indexed citations
6.
7.
Shin, Joseph, Rustam Bagirzadeh, Tyler J. Creamer, et al.. (2019). Epigenetic activation and memory at a TGFB2 enhancer in systemic sclerosis. Science Translational Medicine. 11(497). 50 indexed citations
8.
Migeon, Barbara R., M Beer, & Hans T. Björnsson. (2017). Embryonic loss of human females with partial trisomy 19 identifies region critical for the single active X. PLoS ONE. 12(4). e0170403–e0170403. 16 indexed citations
9.
Ghandi, Mahmoud, Dongwon Lee, Morteza Mohammad-Noori, & M Beer. (2014). Enhanced Regulatory Sequence Prediction Using Gapped k-mer Features. PLoS Computational Biology. 10(7). e1003711–e1003711. 328 indexed citations
10.
Ghandi, Mahmoud, Morteza Mohammad-Noori, & M Beer. (2013). Robust $$k$$ k -mer frequency estimation using gapped $$k$$ k -mers. Journal of Mathematical Biology. 69(2). 469–500. 34 indexed citations
11.
Gorkin, David U., Dongwon Lee, Xylena Reed, et al.. (2012). Integration of ChIP-seq and machine learning reveals enhancers and a predictive regulatory sequence vocabulary in melanocytes. Genome Research. 22(11). 2290–2301. 54 indexed citations
12.
Lee, Dongwon, Rachel Karchin, & M Beer. (2011). Discriminative prediction of mammalian enhancers from DNA sequence. Genome Research. 21(12). 2167–2180. 207 indexed citations
13.
Chang, Tsung-Cheng, Erik A. Wentzel, Oliver A. Kent, et al.. (2007). Transactivation of miR-34a by p53 Broadly Influences Gene Expression and Promotes Apoptosis. Molecular Cell. 26(5). 745–752. 1627 indexed citations breakdown →
14.
Beer, M & Saeed Tavazoie. (2004). Predicting Gene Expression from Sequence. Cell. 117(2). 185–198. 454 indexed citations
15.
Pritsker, Moshe, et al.. (2003). Whole-Genome Discovery of Transcription Factor Binding Sites by Network-Level Conservation. Genome Research. 14(1). 99–108. 79 indexed citations
16.
Beer, M & G. W. Hammett. (1997). The Dynamics of Small-Scale Turbulence Driven Flows. APS. 3 indexed citations
17.
Beer, M. (1996). Gyrofluid simulations of turbulence suppression in reversed-shear experiments on TFTR.. APS. 1 indexed citations
18.
Beer, M. (1995). Gyrofluid Models of Turbulent Transport in Tokamaks.. PhDT. 34 indexed citations
19.
Staebler, G. M., R. E. Waltz, M Beer, et al.. (1992). Profile characteristics of H-mode bifurcation models and turbulence simulations with Gyro-Landau fluid models in slab and toroidal geometry. 1 indexed citations
20.

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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