Michael Brown

2.8k total citations · 1 hit paper
10 papers, 2.0k citations indexed

About

Michael Brown is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Michael Brown has authored 10 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Plant Science. Recurrent topics in Michael Brown's work include Algorithms and Data Compression (3 papers), Protein Structure and Dynamics (2 papers) and Bayesian Methods and Mixture Models (2 papers). Michael Brown is often cited by papers focused on Algorithms and Data Compression (3 papers), Protein Structure and Dynamics (2 papers) and Bayesian Methods and Mixture Models (2 papers). Michael Brown collaborates with scholars based in United States, United Kingdom and Canada. Michael Brown's co-authors include Shahzad I. Mian, David Haussler, Kimmen Sjölander, Anders Krogh, Richard Hughey, Kevin Karplus, L. C. Vining, Xianzhi Wang, Perry B. Cregan and Yang Yen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Michael Brown

10 papers receiving 1.9k citations

Hit Papers

align trajectories

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.

Hidden Markov Models in Computational Biology

1994 1.3k citations Anders Krogh, Michael Brown et al. Journal of Molecular Biology profile →

Peers

Countries citing papers authored by Michael Brown

Since Specialization

Citations

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

Fields of papers citing papers by Michael Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Brown

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

#	Work	Indexed citations
1	Rescue of codon-pair deoptimized respiratory syncytial virus by the emergence of genomes with very large internal deletions that complemented replication 2021 ·Proceedings of the National Academy of Sciences ·Cyril Le Nouën, Thomas McCarty, Lijuan Yang, Michael Brown, Eckard Wimmer, Peter L. Collins, Ursula J. Buchholz	8
2	Genome-wide Scan for Seed Composition Provides Insights into Soybean Quality Improvement and the Impacts of Domestication and Breeding 2018 ·Molecular Plant ·Jiaoping Zhang, Xianzhi Wang, (unknown), (unknown), Qijian Song, Perry B. Cregan, Yang Yen, Michael Brown, Guo-Liang Jiang	108
3	Genetic stability of genome-scale deoptimized RNA virus vaccine candidates under selective pressure 2017 ·Proceedings of the National Academy of Sciences ·Cyril Le Nouën, Thomas McCarty, Michael Brown, Melissa Smith, (unknown), Michael Dolan, Masfique Mehedi, Lijuan Yang, Cindy Luongo, Bo Liang, Shirin Munir, Joshua M. DiNapoli, Steffen Mueller, Eckard Wimmer, Peter L. Collins, Ursula J. Buchholz	37
4	Multiplexed highly-accurate DNA sequencing of closely-related HIV-1 variants using continuous long reads from single molecule, real-time sequencing 2015 ·Nucleic Acids Research ·Darío Dilernia, (unknown), Daniela C. Mónaco, Michael Brown, Zachary Ende, Martin J. Deymier, Ling Yue, Ellen E. Paxinos, Susan Allen, Alfredo Tirado‐Ramos, Eric Hunter	38
5	Dirichlet mixtures: a method for improved detection of weak but significant protein sequence homology 1996 ·Computer applications in the biosciences ·Kimmen Sjölander, Kevin Karplus, Michael Brown, Richard Hughey, Anders Krogh, Shahzad I. Mian, David Haussler	246
6	A role for pabAB, a p-aminobenzoate synthase gene of Streptomyces venezuelae ISP5230, in chloramphenicol biosynthesis 1996 ·Microbiology ·Michael Brown, (unknown), L. C. Vining	29
7	Inactivation of Chloramphenicol by O-Phosphorylation 1995 ·Journal of Biological Chemistry ·Roy H. Mosher, (unknown), Keqian Yang, Michael Brown, William V. Shaw, L. C. Vining	45
8	Hidden Markov Models in Computational Biology breakdown → 1994 ·Journal of Molecular Biology ·Anders Krogh, Michael Brown, Shahzad I. Mian, Kimmen Sjölander, David Haussler	1344
9	The allosteric interaction between D-galactose and the Escherichia coli galactose repressor protein. 1994 ·Journal of Biological Chemistry ·Michael Brown, (unknown), Michael Brenowitz, Ludwig Brand	18
10	Using Dirichlet mixture priors to derive hidden Markov models for protein families. 1993 ·PubMed ·Michael Brown, Richard Hughey, Anders Krogh, Shahzad I. Mian, Kimmen Sjölander, David Haussler	115

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.

Explore authors with similar magnitude of impact