Carl Baribault

986 total citations
24 papers, 723 citations indexed

About

Carl Baribault is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Carl Baribault has authored 24 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Carl Baribault's work include Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (12 papers) and Cancer-related gene regulation (8 papers). Carl Baribault is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), RNA modifications and cancer (12 papers) and Cancer-related gene regulation (8 papers). Carl Baribault collaborates with scholars based in United States and India. Carl Baribault's co-authors include Michelle Lacey, Melanie Ehrlich, Kenneth C. Ehrlich, Stephen Winters‐Hilt, Guorong Xu, Christopher M. Taylor, Michael J. Strong, Erik K. Flemington, Gregory E. Crawford and Koji Tsumagari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Carl Baribault

23 papers receiving 717 citations

Peers

Carl Baribault

ONCOL

PFM

GENET

Mariano Francesco Caratozzolo Italy

Takayuki Kobayashi Japan

Megha Padi United States

Saeam Shin South Korea

Kazuya Shiogama Japan

Jin Ying Wang United States

Nathan D. Montgomery United States

Miyuki Murata Japan

Cassie Schumacher United States

Mariano Francesco Caratozzolo Italy

Carl Baribault

577 ×1.3

221 ×1.1

ONCOL

160 ×1.3

56 ×0.7

PFM

79 ×1.0

GENET

Citations per year, relative to Carl Baribault Carl Baribault (= 1×) peers Mariano Francesco Caratozzolo

Countries citing papers authored by Carl Baribault

Since Specialization

Citations

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

Fields of papers citing papers by Carl Baribault

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Baribault

This figure shows the co-authorship network connecting the top 25 collaborators of Carl Baribault. A scholar is included among the top collaborators of Carl Baribault 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 Carl Baribault. Carl Baribault 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

Lacey, Michelle, Carl Baribault, V. K. Chaithanya Ponnaluri, et al.. (2025). The myoblast methylome: multiple types of associations with chromatin and transcription. Epigenetics. 20(1). 2508251–2508251.

Ehrlich, Melanie, Kenneth C. Ehrlich, Michelle Lacey, et al.. (2024). Epigenetics of Genes Preferentially Expressed in Dissimilar Cell Populations: Myoblasts and Cerebellum. Epigenomes. 8(1). 4–4. 4 indexed citations

Ehrlich, Kenneth C., et al.. (2022). Promoter-Adjacent DNA Hypermethylation Can Downmodulate Gene Expression: TBX15 in the Muscle Lineage. Epigenomes. 6(4). 43–43. 8 indexed citations

Chandra, Sruti, Kenneth C. Ehrlich, Michelle Lacey, Carl Baribault, & Melanie Ehrlich. (2021). Epigenetics and expression of key genes associated with cardiac fibrosis: NLRP3, MMP2, MMP9, CCN2/CTGF and AGT. Epigenomics. 13(3). 219–234. 18 indexed citations

Doyle‐Meyers, Lara, Kasi Russell‐Lodrigue, Nadia Golden, et al.. (2021). Similarities and Differences in the Acute-Phase Response to SARS-CoV-2 in Rhesus Macaques and African Green Monkeys. Frontiers in Immunology. 12. 754642–754642. 7 indexed citations

Lacey, Michelle, Carl Baribault, Kenneth C. Ehrlich, & Melanie Ehrlich. (2019). Data showing atherosclerosis-associated differentially methylated regions are often at enhancers. SHILAP Revista de lepidopterología. 23. 103812–103812. 8 indexed citations

Lacey, Michelle, Carl Baribault, Kenneth C. Ehrlich, & Melanie Ehrlich. (2018). Atherosclerosis-associated differentially methylated regions can reflect the disease phenotype and are often at enhancers. Atherosclerosis. 280. 183–191. 33 indexed citations

Chandra, Sruti, Jolyon Terragni, Guoqiang Zhang, et al.. (2015). Tissue-specific epigenetics in gene neighborhoods: myogenic transcription factor genes. Human Molecular Genetics. 24(16). 4660–4673. 18 indexed citations

Xu, Guorong, Michael J. Strong, Michelle Lacey, et al.. (2014). RNA CoMPASS: A Dual Approach for Pathogen and Host Transcriptome Analysis of RNA-Seq Datasets. PLoS ONE. 9(2). e89445–e89445. 34 indexed citations

10.

Lacey, Michelle, Carl Baribault, & Melanie Ehrlich. (2014). Modeling, simulation and analysis of methylation profiles from reduced representation bisulfite sequencing experiments. 5. 1 indexed citations

11.

Strong, Michael J., Guorong Xu, Joseph Coco, et al.. (2013). Differences in Gastric Carcinoma Microenvironment Stratify According to EBV Infection Intensity: Implications for Possible Immune Adjuvant Therapy. PLoS Pathogens. 9(5). e1003341–e1003341. 128 indexed citations

12.

Tsumagari, Koji, Carl Baribault, Jolyon Terragni, et al.. (2013). DNA methylation and differentiation: HOX genes in muscle cells. Epigenetics & Chromatin. 6(1). 25–25. 46 indexed citations

13.

Tsumagari, Koji, Carl Baribault, Jolyon Terragni, et al.. (2013). Early de novo DNA methylation and prolonged demethylation in the muscle lineage. Epigenetics. 8(3). 317–332. 73 indexed citations

14.

Lin, Zhen, Xia Wang, Michael J. Strong, et al.. (2012). Whole-Genome Sequencing of the Akata and Mutu Epstein-Barr Virus Strains. Journal of Virology. 87(2). 1172–1182. 93 indexed citations

15.

Tsumagari, Koji, Michelle Lacey, Carl Baribault, et al.. (2011). Gene expression during normal and FSHD myogenesis. BMC Medical Genomics. 4(1). 67–67. 81 indexed citations

16.

Winters‐Hilt, Stephen, et al.. (2010). Hidden Markov Model with Duration Side Information for Novel HMMD Derivation, with Application to Eukaryotic Gene Finding. EURASIP Journal on Advances in Signal Processing. 2010(1). 5 indexed citations

17.

Winters‐Hilt, Stephen & Carl Baribault. (2010). A Metastate HMM with Application to Gene Structure Identification in Eukaryotes. EURASIP Journal on Advances in Signal Processing. 2010(1). 2 indexed citations

18.

Churbanov, Alexander, Carl Baribault, & Stephen Winters‐Hilt. (2007). Duration learning for analysis of nanopore ionic current blockades. BMC Bioinformatics. 8(S7). S14–S14. 15 indexed citations

19.

Winters‐Hilt, Stephen & Carl Baribault. (2007). A novel, fast, HMM-with-Duration implementation – for application with a new, pattern recognition informed, nanopore detector. BMC Bioinformatics. 8(S7). S19–S19. 35 indexed citations

20.

Winters‐Hilt, Stephen, et al.. (2006). Cheminformatics methods for novel nanopore analysis of HIV DNA termini. BMC Bioinformatics. 7(S2). S22–S22. 26 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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