Lacramioara Bintu

4.0k total citations · 1 hit paper
29 papers, 2.3k citations indexed

About

Lacramioara Bintu is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Lacramioara Bintu has authored 29 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Genetics. Recurrent topics in Lacramioara Bintu's work include Genomics and Chromatin Dynamics (13 papers), RNA and protein synthesis mechanisms (10 papers) and CRISPR and Genetic Engineering (9 papers). Lacramioara Bintu is often cited by papers focused on Genomics and Chromatin Dynamics (13 papers), RNA and protein synthesis mechanisms (10 papers) and CRISPR and Genetic Engineering (9 papers). Lacramioara Bintu collaborates with scholars based in United States, Germany and Sweden. Lacramioara Bintu's co-authors include Carlos Bustamante, Hernán G. García, Jané Kondev, Terence Hwa, Rob Phillips, Ulrich Gerland, Nicolas E. Buchler, Lucyna Lubkowska, Mikhail Kashlev and H. Courtney Hodges and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Lacramioara Bintu

26 papers receiving 2.2k citations

Hit Papers

Transcriptional regulation by the numbers: models 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lacramioara Bintu United States 15 2.1k 487 153 118 79 29 2.3k
Zhucheng Chen China 24 2.1k 1.0× 318 0.7× 161 1.1× 68 0.6× 106 1.3× 39 2.6k
Lu Bai United States 22 2.1k 1.0× 366 0.8× 225 1.5× 81 0.7× 50 0.6× 61 2.4k
Narendra Maheshri United States 13 1.9k 0.9× 968 2.0× 98 0.6× 143 1.2× 59 0.7× 16 2.2k
Hernán G. García United States 31 3.2k 1.5× 920 1.9× 294 1.9× 255 2.2× 69 0.9× 71 3.7k
Wolfram Antonin Germany 38 3.7k 1.8× 269 0.6× 142 0.9× 88 0.7× 133 1.7× 62 4.4k
Sy Redding United States 14 4.1k 2.0× 492 1.0× 502 3.3× 92 0.8× 54 0.7× 17 4.3k
Florian C. Oberstrass United States 16 1.6k 0.8× 166 0.3× 77 0.5× 82 0.7× 70 0.9× 17 1.8k
Stephen A. Chervitz United States 13 1.3k 0.6× 562 1.2× 157 1.0× 39 0.3× 50 0.6× 16 1.6k
Ibrahim I. Cissé United States 17 3.0k 1.4× 155 0.3× 207 1.4× 376 3.2× 78 1.0× 24 3.3k
Jonathan W. Jarvik United States 24 1.5k 0.7× 328 0.7× 107 0.7× 373 3.2× 74 0.9× 52 2.1k

Countries citing papers authored by Lacramioara Bintu

Since Specialization
Citations

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

Fields of papers citing papers by Lacramioara Bintu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lacramioara Bintu

This figure shows the co-authorship network connecting the top 25 collaborators of Lacramioara Bintu. A scholar is included among the top collaborators of Lacramioara Bintu 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 Lacramioara Bintu. Lacramioara Bintu 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.
Bintu, Lacramioara, et al.. (2025). Epigenetic editing: from concept to clinic. Nature Reviews Drug Discovery. 25(3). 227–248.
2.
Bintu, Lacramioara, et al.. (2025). Human Synthetic Biology and Programmable Gene Regulation Control. Annual Review of Genomics and Human Genetics. 26(1). 139–161.
3.
Doughty, Benjamin R., Julia M. Schaepe, Georgi K. Marinov, et al.. (2024). Single-molecule states link transcription factor binding to gene expression. Nature. 636(8043). 745–754. 11 indexed citations
4.
Sinha, Sauradeep, Michelle S. Huang, Yudhishtar S. Bedi, et al.. (2024). Laminin-associated integrins mediate Diffuse Intrinsic Pontine Glioma infiltration and therapy response within a neural assembloid model. Acta Neuropathologica Communications. 12(1). 71–71. 6 indexed citations
5.
Ludwig, Connor, et al.. (2024). The H3.3K36M oncohistone disrupts the establishment of epigenetic memory through loss of DNA methylation. Molecular Cell. 84(20). 3899–3915.e7. 2 indexed citations
6.
Marinov, Georgi K., S. Tansu Bagdatli, Alexandro E. Trevino, et al.. (2023). CasKAS: direct profiling of genome-wide dCas9 and Cas9 specificity using ssDNA mapping. Genome biology. 24(1). 85–85. 4 indexed citations
7.
Mukund, Adi, Josh Tycko, Stephanie A. Robinson, et al.. (2023). High-throughput functional characterization of combinations of transcriptional activators and repressors. Cell Systems. 14(9). 746–763.e5. 17 indexed citations
8.
DelRosso, Nicole, Josh Tycko, Peter Suzuki, et al.. (2023). Large-scale mapping and mutagenesis of human transcriptional effector domains. Nature. 616(7956). 365–372. 72 indexed citations
9.
Ludwig, Connor, David W. Morgens, Josh Tycko, et al.. (2023). High-throughput discovery and characterization of viral transcriptional effectors in human cells. Cell Systems. 14(6). 482–500.e8. 14 indexed citations
11.
Durrant, Matthew G., Alison Fanton, Josh Tycko, et al.. (2022). Systematic discovery of recombinases for efficient integration of large DNA sequences into the human genome. Nature Biotechnology. 41(4). 488–499. 102 indexed citations
12.
Mukund, Adi & Lacramioara Bintu. (2021). Temporal signaling, population control, and information processing through chromatin-mediated gene regulation. Journal of Theoretical Biology. 535. 110977–110977. 7 indexed citations
13.
Tycko, Josh, Nicole DelRosso, Gaelen T. Hess, et al.. (2020). High-Throughput Discovery and Characterization of Human Transcriptional Effectors. Cell. 183(7). 2020–2035.e16. 79 indexed citations
14.
Ludwig, Connor & Lacramioara Bintu. (2019). Mapping chromatin modifications at the single cell level. Development. 146(12). 40 indexed citations
15.
Bintu, Lacramioara, John Yong, Yaron E. Antebi, et al.. (2016). Dynamics of epigenetic regulation at the single-cell level. Science. 351(6274). 720–724. 305 indexed citations
16.
Bintu, Lacramioara. (2016). Dynamics of Epigenetic Regulation at the Single-Cell Level. Biophysical Journal. 110(3). 317a–318a. 12 indexed citations
17.
Bintu, Lacramioara, et al.. (2012). Nascent RNA structure modulates the transcriptional dynamics of RNA polymerases. Proceedings of the National Academy of Sciences. 109(23). 8948–8953. 96 indexed citations
18.
Bintu, Lacramioara, Toyotaka Ishibashi, Manchuta Dangkulwanich, et al.. (2012). Nucleosomal Elements that Control the Topography of the Barrier to Transcription. Cell. 151(4). 738–749. 144 indexed citations
19.
Bintu, Lacramioara, et al.. (2011). The elongation rate of RNA polymerase determines the fate of transcribed nucleosomes. Nature Structural & Molecular Biology. 18(12). 1394–1399. 114 indexed citations
20.
Hodges, H. Courtney, Lacramioara Bintu, Lucyna Lubkowska, Mikhail Kashlev, & Carlos Bustamante. (2009). Nucleosomal Fluctuations Govern the Transcription Dynamics of RNA Polymerase II. Science. 325(5940). 626–628. 283 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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