Michael Gribskov

20.5k total citations · 6 hit papers
94 papers, 10.9k citations indexed

About

Michael Gribskov is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Michael Gribskov has authored 94 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 12 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Michael Gribskov's work include Genomics and Phylogenetic Studies (23 papers), RNA and protein synthesis mechanisms (23 papers) and Machine Learning in Bioinformatics (13 papers). Michael Gribskov is often cited by papers focused on Genomics and Phylogenetic Studies (23 papers), RNA and protein synthesis mechanisms (23 papers) and Machine Learning in Bioinformatics (13 papers). Michael Gribskov collaborates with scholars based in United States, United Kingdom and China. Michael Gribskov's co-authors include Trisha L. Bailey, Richard R. Burgess, David Eisenberg, A. McLachlan, Carol A. Gross, Michael A. Lonetto, Nina L. Robinson, Alice Harmon, Jeffrey F. Harper and David Eisenberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Michael Gribskov

93 papers receiving 10.6k citations

Hit Papers

5 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.

Profile analysis: detection of distantly related proteins.

1987 1.0k citations Michael Gribskov et al. profile →
Combining evidence using p-values: application to sequence homology searches.

1998 963 citations Trisha L. Bailey, Michael Gribskov Bioinformatics profile →
Phylogenetic Relationships within Cation Transporter Families of Arabidopsis

2001 947 citations Julian I. Schroeder, Jason Tchieu et al. profile →
The Arabidopsis CDPK-SnRK Superfamily of Protein Kinases

2003 792 citations Michael Gribskov, Jeffrey F. Harper et al. profile →
The sigma 70 family: sequence conservation and evolutionary relationships

1992 749 citations Michael Gribskov et al. profile →
A Systematic Analysis of Human Disease-Associated Gene Sequences In Drosophila melanogaster

2001 679 citations Michael Gribskov et al. profile →

Peers

Countries citing papers authored by Michael Gribskov

Since Specialization

Citations

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

Fields of papers citing papers by Michael Gribskov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gribskov

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Shiny-DEG: A Web Application to Analyze and Visualize Differentially Expressed Genes in RNA-seq 2020 ·Interdisciplinary Sciences Computational Life Sciences ·Sufang Wang, Yu Zhang, (unknown), Nu Zhang, Michael Gribskov, Hui Yang	3
2	Chromatin-enriched RNAs mark active and repressive cis-regulation: An analysis of nuclear RNA-seq 2020 ·PLoS Computational Biology ·(unknown), (unknown), (unknown), (unknown), Alexander J. Ruthenburg, Ivan P. Moskowitz, Michael Gribskov, Xinan Yang	5
3	Comparative genome analysis reveals niche-specific genome expansion in Acinetobacter baumannii strains 2019 ·PLoS ONE ·(unknown), Devyani Samantarrai, Michael Gribskov, Dayananda Siddavattam	44
4	Accurate Classification of RNA Structures Using Topological Fingerprints 2016 ·PLoS ONE ·(unknown), Kejie Li, Michael Gribskov	5
5	Making models match measurements: Model optimization for morphogen patterning networks 2014 ·Seminars in Cell and Developmental Biology ·(unknown), Michael Gribskov, Ann E. Rundell, David M. Umulis	12
6	Calcium-Dependent Protein Kinases from Arabidopsis Show Substrate Specificity Differences in an Analysis of 103 Substrates 2011 ·SHILAP Revista de lepidopterología ·Amy Curran, Ing‐Feng Chang, (unknown), Shilpi Garg, Miguel Ángel Rodríguez-Milla, (unknown), Ying Li, Shawn M. Romanowsky, John C. Cushman, Michael Gribskov, Alice Harmon, Jeffrey F. Harper	76
7	Bioinformatics research in the Asia Pacific: a 2007 update 2008 ·BMC Bioinformatics ·Shoba Ranganathan, Michael Gribskov, Tin Wee Tan	7
8	Protein kinase resource: An integrated environment for phosphorylation research 2006 ·Proteins Structure Function and Bioinformatics ·R Niedner, Oleksandr Buzko, Nina M. Haste, (unknown), Michael Gribskov, Susan S. Taylor	40
9	Protein–protein interactions of tandem affinity purification‐tagged protein kinases in rice 2006 ·The Plant Journal ·Jai S. Rohila, Mei Chen, Shawn Chen, (unknown), Ronald L. Cerny, Chris Dardick, Patrick E. Canlas, Xia Xu, Michael Gribskov, Siddhartha Kanrar, Jian‐Kang Zhu, Pamela C. Ronald, Michael Fromm	115
10	An Open Forum for Computational Biology 2005 ·PLoS Computational Biology ·Michael Gribskov	2
11	Genome Informatics 2003 2003 ·Michael Gribskov	1
12	modulewriter: a program for automatic generation of database interfaces 2003 ·Computational Biology and Chemistry ·Christina Zheng, (unknown), (unknown), Michael Gribskov	1
13	An integrated Arabidopsis annotation database for Affymetrix Genechip® data analysis, and tools for regulatory motif searches 2001 ·Trends in Plant Science ·Majid Ghassemian, (unknown), Jason Tchieu, Michael Gribskov, Julian I. Schroeder	14
14	Use of keyword hierarchies to interpret gene expression patterns 2001 ·Bioinformatics ·Daniel R. Masys, John Welsh, J. Lynn Fink, Michael Gribskov, (unknown), Jacques Corbeil	101
15	RNA binding domain of HDV antigen is homologous to the HMG box of SRY 1999 ·Archives of Virology ·Stella Veretnik, Michael Gribskov	6
16	Combining evidence using p-values: application to sequence homology searches. breakdown → 1998 ·Bioinformatics ·Trisha L. Bailey, Michael Gribskov	963
17	Score Distributions for Simultaneous Matching to Multiple Motifs 1997 ·Journal of Computational Biology ·Timothy L. Bailey, Michael Gribskov	48
18	[13] Identification of sequence patterns with profile analysis 1996 ·Methods in enzymology on CD-ROM/Methods in enzymology ·Michael Gribskov, Stella Veretnik	67
19	Use of receiver operating characteristic (ROC) analysis to evaluate sequence matching 1996 ·Computers & Chemistry ·Michael Gribskov, Nina L. Robinson	380
20	Profile scanning for three-dimensional structural patterns in protein sequences 1988 ·Computer applications in the biosciences ·Michael Gribskov, (unknown), (unknown), David Eisenberg	47

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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