Daniel L. Vera

4.5k total citations
34 papers, 915 citations indexed

About

Daniel L. Vera is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Daniel L. Vera has authored 34 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Plant Science and 8 papers in Genetics. Recurrent topics in Daniel L. Vera's work include Genomics and Chromatin Dynamics (13 papers), Chromosomal and Genetic Variations (11 papers) and Epigenetics and DNA Methylation (6 papers). Daniel L. Vera is often cited by papers focused on Genomics and Chromatin Dynamics (13 papers), Chromosomal and Genetic Variations (11 papers) and Epigenetics and DNA Methylation (6 papers). Daniel L. Vera collaborates with scholars based in United States, United Kingdom and Germany. Daniel L. Vera's co-authors include Hank W. Bass, Edward S. Buckler, Eli Rodgers‐Melnick, David M. Gilbert, Jiao Sima, Jonathan H. Dennis, William Stafford Noble, Vishnu Dileep, Ferhat Ay and Takayo Sasaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Daniel L. Vera

33 papers receiving 911 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel L. Vera United States 16 682 430 193 50 33 34 915
Hila Gingold Israel 12 800 1.2× 85 0.2× 164 0.8× 62 1.2× 16 0.5× 18 956
Y. Lahbib‐Mansais France 15 475 0.7× 181 0.4× 527 2.7× 54 1.1× 35 1.1× 36 879
Paul Fox United States 9 415 0.6× 152 0.4× 106 0.5× 27 0.5× 51 1.5× 13 666
Julia Pak United States 9 807 1.2× 265 0.6× 57 0.3× 115 2.3× 61 1.8× 9 946
Mary Bryk United States 16 1.5k 2.2× 268 0.6× 148 0.8× 20 0.4× 38 1.2× 22 1.6k
Hae-Lim Lee South Korea 11 516 0.8× 165 0.4× 137 0.7× 28 0.6× 53 1.6× 26 684
Celine Moorman Netherlands 8 740 1.1× 126 0.3× 129 0.7× 22 0.4× 80 2.4× 8 982
А. А. Сазанов Russia 12 437 0.6× 378 0.9× 498 2.6× 68 1.4× 50 1.5× 45 819
Christopher Heffelfinger United States 15 538 0.8× 350 0.8× 337 1.7× 100 2.0× 32 1.0× 19 1.0k
Loc Phi‐van Germany 14 523 0.8× 97 0.2× 204 1.1× 20 0.4× 45 1.4× 24 726

Countries citing papers authored by Daniel L. Vera

Since Specialization
Citations

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

Fields of papers citing papers by Daniel L. Vera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Vera. 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 Daniel L. Vera. The network helps show where Daniel L. Vera may publish in the future.

Co-authorship network of co-authors of Daniel L. Vera

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Vera. A scholar is included among the top collaborators of Daniel L. Vera 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 Daniel L. Vera. Daniel L. Vera 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.
Vera, Daniel L., Patrick Griffin, Don Leigh, et al.. (2025). Multiomic clocks to predict phenotypic age in mice. The Journals of Gerontology Series A. 80(11).
2.
Butler, Anderson A., et al.. (2025). Measuring technical variability in illumina DNA methylation microarrays. PLoS ONE. 20(7). e0326337–e0326337. 1 indexed citations
3.
Hu, Guanjing, Corrinne E. Grover, Daniel L. Vera, et al.. (2024). Evolutionary Dynamics of Chromatin Structure and Duplicate Gene Expression in Diploid and Allopolyploid Cotton. Molecular Biology and Evolution. 41(5). 11 indexed citations
4.
Mueller, Amber L., et al.. (2022). Novel feature selection methods for construction of accurate epigenetic clocks. PLoS Computational Biology. 18(8). e1009938–e1009938. 8 indexed citations
5.
Lynch, Michael D. J., Calvin Mackey, Brian K. Washburn, et al.. (2020). Metagenome-Assembled Genome Sequences of Five Strains from the Microtus ochrogaster (Prairie Vole) Fecal Microbiome. Microbiology Resource Announcements. 9(2). 6 indexed citations
6.
Ksander, Bruce R., Yuancheng Ryan Lu, Anitha Krishnan, et al.. (2020). Reversal of aging-induced and glaucoma-induced vision loss by in vivo epigenetic reprogramming. 61(7). 2364–2364. 1 indexed citations
7.
Bertolini, Edoardo, Md Shamimuzzaman, Daniel L. Vera, et al.. (2020). The regulatory landscape of early maize inflorescence development. Genome biology. 21(1). 165–165. 43 indexed citations
8.
Cheng, Yichen, Alyssa J. Rolfe, Christy Hammack, et al.. (2018). An hPSC-Derived Tissue-Resident Macrophage Model Reveals Differential Responses of Macrophages to ZIKV and DENV Infection. Stem Cell Reports. 11(2). 348–362. 27 indexed citations
9.
Marchal, Claire, Takayo Sasaki, Daniel L. Vera, et al.. (2018). Genome-wide analysis of replication timing by next-generation sequencing with E/L Repli-seq. Nature Protocols. 13(5). 819–839. 96 indexed citations
10.
Rivera‐Mulia, Juan Carlos, Andrew Dimond, Daniel L. Vera, et al.. (2018). Allele-specific control of replication timing and genome organization during development. Genome Research. 28(6). 800–811. 53 indexed citations
11.
Sima, Jiao, Abhijit Chakraborty, Vishnu Dileep, et al.. (2018). Identification of <i>cis</i> Elements for Spatio-temporal Control of DNA Replication. SSRN Electronic Journal. 1 indexed citations
12.
Sasaki, Takayo, Juan Carlos Rivera‐Mulia, Daniel L. Vera, et al.. (2017). Stability of patient-specific features of altered DNA replication timing in xenografts of primary human acute lymphoblastic leukemia. Experimental Hematology. 51. 71–82.e3. 21 indexed citations
13.
Beesley, Stephen, Jae Kyoung Kim, Zachary Jones, et al.. (2017). Stability of Wake-Sleep Cycles Requires Robust Degradation of the PERIOD Protein. Current Biology. 27(22). 3454–3467.e8. 40 indexed citations
14.
Vera, Daniel L., et al.. (2017). SRSF shape analysis for sequencing data reveal new differentiating patterns. Computational Biology and Chemistry. 70. 56–64. 1 indexed citations
15.
Lo, Pang‐Kuo, Yi‐Chun Huang, Joanna Poulton, et al.. (2016). RNA helicase Belle/DDX3 regulates transgene expression in Drosophila. Developmental Biology. 412(1). 57–70. 8 indexed citations
16.
Álvarez-Delfín, Karen, et al.. (2016). Genetic Dissection of Dual Roles for the Transcription Factor six7 in Photoreceptor Development and Patterning in Zebrafish. PLoS Genetics. 12(4). e1005968–e1005968. 17 indexed citations
17.
Rodgers‐Melnick, Eli, Daniel L. Vera, Hank W. Bass, & Edward S. Buckler. (2016). Open chromatin reveals the functional maize genome. Proceedings of the National Academy of Sciences. 113(22). E3177–84. 185 indexed citations
18.
Ren, Yingxue, Daniel L. Vera, Kimberly A. Hughes, & Jonathan H. Dennis. (2015). Stimulation of the Drosophila immune system alters genome-wide nucleosome occupancy. Genomics Data. 3. 146–147. 1 indexed citations
19.
Sexton, Brittany S., Denis Avey, Daniel L. Vera, et al.. (2013). The spring-loaded genome: Nucleosome redistributions are widespread, transient, and DNA-directed. Genome Research. 24(2). 251–259. 24 indexed citations
20.
Sexton, Brittany S., et al.. (2013). Chromatin patterns associated with lung adenocarcinoma progression. Cell Cycle. 12(10). 1536–1543. 14 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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