Charles Blatti

2.6k total citations
18 papers, 717 citations indexed

About

Charles Blatti is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Charles Blatti has authored 18 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Charles Blatti's work include Plant Molecular Biology Research (5 papers), Genomics and Chromatin Dynamics (5 papers) and Animal Behavior and Reproduction (3 papers). Charles Blatti is often cited by papers focused on Plant Molecular Biology Research (5 papers), Genomics and Chromatin Dynamics (5 papers) and Animal Behavior and Reproduction (3 papers). Charles Blatti collaborates with scholars based in United States, Canada and China. Charles Blatti's co-authors include Saurabh Sinha, Md. Abul Hassan Samee, Xin He, Majid Kazemian, Michael H. Brodsky, Scot A. Wolfe, S Celniker, Gene E. Robinson, Alison M. Bell and Yibayiri O. Sanogo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Charles Blatti

18 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Blatti United States 14 413 283 216 133 100 18 717
Antonio C.A. Meireles-Filho Switzerland 14 318 0.8× 174 0.6× 93 0.4× 93 0.7× 157 1.6× 18 907
Jessica Cande United States 15 499 1.2× 306 1.1× 185 0.9× 158 1.2× 238 2.4× 16 1.0k
C. Ryan Campbell United States 11 321 0.8× 184 0.7× 101 0.5× 22 0.2× 154 1.5× 16 582
E. Josephine Clowney United States 10 465 1.1× 279 1.0× 157 0.7× 50 0.4× 78 0.8× 16 1.0k
Ralph Haygood United States 15 474 1.1× 295 1.0× 105 0.5× 70 0.5× 211 2.1× 24 882
Alberto Civetta Canada 18 254 0.6× 764 2.7× 603 2.8× 161 1.2× 82 0.8× 52 1.1k
Navin Elango United States 10 471 1.1× 323 1.1× 135 0.6× 121 0.9× 132 1.3× 13 743
Benjamin A. Sandkam United States 17 232 0.6× 422 1.5× 289 1.3× 27 0.2× 221 2.2× 29 835
Karen J. Garner United States 12 214 0.5× 112 0.4× 68 0.3× 142 1.1× 172 1.7× 13 546
Daniel F. Simola United States 13 379 0.9× 493 1.7× 352 1.6× 285 2.1× 106 1.1× 14 923

Countries citing papers authored by Charles Blatti

Since Specialization
Citations

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

Fields of papers citing papers by Charles Blatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Blatti

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

All Works

18 of 18 papers shown
1.
Blatti, Charles, Huanyao Gao, Sihai Dave Zhao, et al.. (2023). Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer. Cancer Research. 83(8). 1361–1380. 7 indexed citations
2.
Jones, Beryl M., Vikyath D. Rao, Tim Gernat, et al.. (2020). Individual differences in honey bee behavior enabled by plasticity in brain gene regulatory networks. eLife. 9. 32 indexed citations
3.
Kapheim, Karen M., Hailin Pan, Cai Li, et al.. (2019). Draft Genome Assembly and Population Genetics of an Agricultural Pollinator, the Solitary Alkali Bee (Halictidae: Nomia melanderi ). G3 Genes Genomes Genetics. 9(3). 625–634. 19 indexed citations
4.
Hernáez, Mikel, Charles Blatti, & Olivier Gevaert. (2019). Comparison of single and module-based methods for modeling gene regulatory networks. Bioinformatics. 36(2). 558–567. 10 indexed citations
5.
Saul, Michael C., Charles Blatti, Wei Yang, et al.. (2018). Cross‐species systems analysis of evolutionary toolkits of neurogenomic response to social challenge. Genes Brain & Behavior. 18(1). e12502–e12502. 20 indexed citations
6.
Xiao, Jinfeng, Charles Blatti, & Saurabh Sinha. (2018). SigMat: a classification scheme for gene signature matching. Bioinformatics. 34(13). i547–i554. 7 indexed citations
7.
Blatti, Charles & Saurabh Sinha. (2016). Characterizing gene sets using discriminative random walks with restart on heterogeneous biological networks. Bioinformatics. 32(14). 2167–2175. 23 indexed citations
8.
Blatti, Charles, Majid Kazemian, Scot A. Wolfe, Michael H. Brodsky, & Saurabh Sinha. (2015). Integrating motif, DNA accessibility and gene expression data to build regulatory maps in an organism. Nucleic Acids Research. 43(8). 3998–4012. 29 indexed citations
9.
Blatti, Charles & Saurabh Sinha. (2014). Motif Enrichment Tool. Nucleic Acids Research. 42(W1). W20–W25. 9 indexed citations
10.
Whitney, Osceola, Andreas R. Pfenning, Jason T. Howard, et al.. (2014). Core and region-enriched networks of behaviorally regulated genes and the singing genome. Science. 346(6215). 1256780–1256780. 78 indexed citations
11.
Cheng, Qiong, Majid Kazemian, Hannah Pham, et al.. (2013). Computational Identification of Diverse Mechanisms Underlying Transcription Factor-DNA Occupancy. PLoS Genetics. 9(8). e1003571–e1003571. 39 indexed citations
12.
Enuameh, Metewo Selase, Adam Richards, Ryan Christensen, et al.. (2013). Global analysis of Drosophila Cys2-His2 zinc finger proteins reveals a multitude of novel recognition motifs and binding determinants. Genome Research. 23(6). 928–940. 57 indexed citations
13.
Ament, Seth A., Ying Wang, Charles Blatti, et al.. (2012). The Transcription Factor Ultraspiracle Influences Honey Bee Social Behavior and Behavior-Related Gene Expression. PLoS Genetics. 8(3). e1002596–e1002596. 69 indexed citations
14.
Sanogo, Yibayiri O., Mark Band, Charles Blatti, Saurabh Sinha, & Alison M. Bell. (2012). Transcriptional regulation of brain gene expression in response to a territorial intrusion. Proceedings of the Royal Society B Biological Sciences. 279(1749). 4929–4938. 54 indexed citations
15.
Ament, Seth A., Charles Blatti, Cédric Alaux, et al.. (2012). New meta-analysis tools reveal common transcriptional regulatory basis for multiple determinants of behavior. Proceedings of the National Academy of Sciences. 109(26). E1801–10. 49 indexed citations
16.
Kazemian, Majid, Charles Blatti, Adam Richards, et al.. (2010). Quantitative Analysis of the Drosophila Segmentation Regulatory Network Using Pattern Generating Potentials. PLoS Biology. 8(8). e1000456–e1000456. 58 indexed citations
17.
He, Xin, Md. Abul Hassan Samee, Charles Blatti, & Saurabh Sinha. (2010). Thermodynamics-Based Models of Transcriptional Regulation by Enhancers: The Roles of Synergistic Activation, Cooperative Binding and Short-Range Repression. PLoS Computational Biology. 6(9). e1000935–e1000935. 133 indexed citations
18.
Janes, Daniel E., Yoichi Gondo, David F. Clayton, et al.. (2010). Reptiles and Mammals Have Differentially Retained Long Conserved Noncoding Sequences from the Amniote Ancestor. Genome Biology and Evolution. 3. 102–113. 24 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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2026