Dilenny M. Gonzalez

1.7k total citations
8 papers, 836 citations indexed

About

Dilenny M. Gonzalez is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Dilenny M. Gonzalez has authored 8 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Dilenny M. Gonzalez's work include Genetics and Neurodevelopmental Disorders (3 papers), Epigenetics and DNA Methylation (3 papers) and Microtubule and mitosis dynamics (3 papers). Dilenny M. Gonzalez is often cited by papers focused on Genetics and Neurodevelopmental Disorders (3 papers), Epigenetics and DNA Methylation (3 papers) and Microtubule and mitosis dynamics (3 papers). Dilenny M. Gonzalez collaborates with scholars based in United States, United Kingdom and Austria. Dilenny M. Gonzalez's co-authors include Christopher A. Walsh, Yawei J. Yang, Anthony S. LaMantia, Maria K. Lehtinen, Eric T. Wong, Xi Chen, Anthony D. Hill, Ping Ye, Melody P. Lun and A. Joseph D’Ercole and has published in prestigious journals such as Cell, Neuron and Genes & Development.

In The Last Decade

Dilenny M. Gonzalez

8 papers receiving 827 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dilenny M. Gonzalez United States 7 543 284 235 202 176 8 836
Seonhee Kim United States 7 468 0.9× 353 1.2× 171 0.7× 106 0.5× 310 1.8× 8 849
Clare Faux United Kingdom 14 660 1.2× 379 1.3× 135 0.6× 185 0.9× 343 1.9× 15 1.1k
Manuela Schwark Germany 6 628 1.2× 348 1.2× 232 1.0× 116 0.6× 340 1.9× 8 985
Christina Kyrousi Germany 16 557 1.0× 219 0.8× 229 1.0× 138 0.7× 148 0.8× 25 770
Yong Ha Youn United States 11 700 1.3× 253 0.9× 263 1.1× 316 1.6× 173 1.0× 13 967
Lakshmi Subramanian India 15 655 1.2× 337 1.2× 168 0.7× 108 0.5× 227 1.3× 25 946
Marı́a José Barallobre Spain 15 575 1.1× 289 1.0× 257 1.1× 206 1.0× 420 2.4× 18 1.2k
Takao Honda Japan 15 510 0.9× 312 1.1× 372 1.6× 117 0.6× 308 1.8× 24 1.1k
Belinda S. Harris United States 18 692 1.3× 115 0.4× 292 1.2× 337 1.7× 254 1.4× 37 1.3k
Chiaki Ohtaka‐Maruyama Japan 16 495 0.9× 162 0.6× 159 0.7× 106 0.5× 181 1.0× 27 797

Countries citing papers authored by Dilenny M. Gonzalez

Since Specialization
Citations

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

Fields of papers citing papers by Dilenny M. Gonzalez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dilenny M. Gonzalez. 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 Dilenny M. Gonzalez. The network helps show where Dilenny M. Gonzalez may publish in the future.

Co-authorship network of co-authors of Dilenny M. Gonzalez

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

All Works

8 of 8 papers shown
1.
Shin, Taehwan, Janet Song, Michael Kosicki, et al.. (2024). Rare variation in non-coding regions with evolutionary signatures contributes to autism spectrum disorder risk. Cell Genomics. 4(8). 100609–100609. 9 indexed citations
2.
Jayaraman, Divya, Andrew Kodani, Dilenny M. Gonzalez, et al.. (2017). Microcephaly proteins Wdr62 and Aspm define a mother centriole complex regulating centriole biogenesis, apical complex and cell fate (S46.001). Neurology. 88(16_supplement). 2 indexed citations
3.
Jayaraman, Divya, Andrew Kodani, Dilenny M. Gonzalez, et al.. (2016). Microcephaly Proteins Wdr62 and Aspm Define a Mother Centriole Complex Regulating Centriole Biogenesis, Apical Complex, and Cell Fate. Neuron. 92(4). 813–828. 98 indexed citations
4.
Oaks, Adam W., Marta Zamarbide, Dimira Tambunan, et al.. (2016). Cc2d1a Loss of Function Disrupts Functional and Morphological Development in Forebrain Neurons Leading to Cognitive and Social Deficits. Cerebral Cortex. 27(2). 1670–1685. 39 indexed citations
5.
Murn, Jernej, Kathi Zarnack, Yawei J. Yang, et al.. (2015). Control of a neuronal morphology program by an RNA-binding zinc finger protein, Unkempt. Genes & Development. 29(5). 501–512. 28 indexed citations
6.
Yang, Yawei J., Andrew E. Baltus, Elisabeth A. Murphy, et al.. (2012). Microcephaly Gene Links Trithorax and REST/NRSF to Control Neural Stem Cell Proliferation and Differentiation. Cell. 151(5). 1097–1112. 119 indexed citations
7.
Lehtinen, Maria K., Xi Chen, Yawei J. Yang, et al.. (2011). The Cerebrospinal Fluid Provides a Proliferative Niche for Neural Progenitor Cells. Neuron. 69(5). 893–905. 457 indexed citations
8.
Kim, Seonhee, Maria K. Lehtinen, Alessandro Sessa, et al.. (2010). The Apical Complex Couples Cell Fate and Cell Survival to Cerebral Cortical Development. Neuron. 66(1). 69–84. 84 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